title
stringlengths 7
84
| company
stringlengths 2
93
| job_description
stringlengths 4
24k
|
|---|---|---|
Senior Data Scientist | Paylocity |
Don’t just land a job. Launch your future.
Our all-in-one software platform gives HR pros a way to easily manage daily tasks in payroll, benefits, talent, and workforce management.
But what makes us different is that our technology is backed by a culture that cares. We care about our team members, clients, and partners – because people matter most. And people have always been at the heart of our business.
Since our founding in 1997, this is the thing that's stayed the same, from our employees to the millions of users nationwide that access our platform. We pride ourselves on partnering with our clients to build the workplace they and their employees crave.
Let's go forward together.
Position Overview:
Paylocity is growing its Data Practice Organization! Our Data Science Team is responsible for developing machine learning solutions to meet clients needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection. One example of an interesting project we have been working on is that we recently released our Modern Workforce Index, which leverages machine learning to help employers measure and improve employee engagement. This product had direct CEO oversight and was a close collaboration with our Data Engineering and Data Insights teams.
As a Senior Data Scientist in Product & Technology, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Location: 100% Remote
Reports To: Manager Data Science
Responsibilities:
Select features, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networksLeverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and SparkCollaborate with Product Owners, Enterprise Architects, Software Development Managers, and other executives to translate complex human capital management challenges into data science projectsConduct ad-hoc analyses and present results in a clear mannerCreate automated data and modeling pipelines and develop custom performance trackingWork closely with full stack software engineers in an agile product development environment to deliver machine learning software features
Requirements:
Bachelor’s degree required.4-7 years of data science success at other software companiesExperience in writing production grade machine learning models in PythonExperience with cloud infrastructure on AWS or AzureDemonstrated ability to leverage data science to drive business resultsSkilled at translating business problems into data science problems and communicating the results to non-technical audiencesAble to work in a collaborative environment with a desire to share your ideasAble to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team membersSelf-motivated, adaptable, and highly detail oriented
Preferred Skills:
Advanced degree (Masters or PhD) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, other quantitative field preferredProfessional or academic experience in HR, social science or psychologyEnthusiastic about advanced analytics and how predictive insights lead to a superior customer experienceBe invested in staying current in data science by applying new technologies and practices
Our journey forward.
Paylocity strives to create an organizational culture where every employee has a voice, feels truly welcome, appreciated, and free to be themselves, and is empowered and enabled to do their best work. A strong commitment to diversity, equity, and inclusion is critical to creating such a culture.
We’ve made great strides to support diversity, equity, and inclusion. That being said, we realize there’s still room for improvement. Our current focus is on the following initiatives:
Education & AwarenessClient CommunityCompany RepresentationAdvocacy & SupportFairness & EqualityPCTY Gives
Want to learn more, click here to access our DEI flipbook.
https://www.flipsnack.com/paylocitycom/diversity-equity-and-inclusion.html
This job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change.
This role can be performed from any office in the US. The pay range for this position in Colorado is $110,000.00 - $159,450.00; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for an annual bonus and restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here. This information is provided per the Colorado Equal Pay for Equal Work Act. Base pay information is based on market location. Applicants should apply via www.paylocity.com/careers.
|
Data Scientist | Paylocity |
Don’t just land a job. Launch your future. Our all-in-one software platform gives HR pros a way to easily manage daily tasks in payroll, benefits, talent, and workforce management.But what makes us different is that our technology is backed by a culture that cares. We care about our team members, clients, and partners – because people matter most. And people have always been at the heart of our business. Since our founding in 1997, this is the thing that's stayed the same, from our employees to the millions of users nationwide that access our platform. We pride ourselves on partnering with our clients to build the workplace they and their employees crave.Let's go forward together.Position Overview:Paylocity is growing its Data Practice Organization! Our Data Science Team is responsible for developing machine learning solutions to meet clients needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection. One example of an interesting project we have been working on is that we recently released our Modern Workforce Index, which leverages machine learning to help employers measure and improve employee engagement. This product had direct CEO oversight and was a close collaboration with our Data Engineering and Data Insights teams.
As a Data Scientist, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Location: Remote
Reports To: Data Science ManagerResponsibilities:
Select feature, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networks Leverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark Collaborate with Product Owners, Enterprise Architects, Software Development Managers, and other executives to translate complex human capital management challenges into data science projects? Conduct ad-hoc analysis and present results in a clear manner Create automated data and modeling pipelines and develop custom performance trackingWork closely with software engineers in an agile product development environment to deliver machine learning software features
Requirements:
Bachelor’s degree required. 2-5 years of data science success at other software companies Experience in writing production grade machine learning models in Python Experience with cloud infrastructure on AWS or Azure Demonstrated ability to leverage data science to drive business results Skilled at translating business problems into data science problems and communicating the results to non-technical audiences Able to work in a collaborative environment with a desire to share your ideas Able to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team members
Preferred Skills:
Advanced degree (Masters or Phd) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, or other quantitative field preferred
Our journey forward.
Paylocity strives to create an organizational culture where every employee has a voice, feels truly welcome, appreciated, and free to be themselves, and is empowered and enabled to do their best work. A strong commitment to diversity, equity, and inclusion is critical to creating such a culture. We’ve made great strides to support diversity, equity, and inclusion. That being said, we realize there’s still room for improvement. Our current focus is on the following initiatives:
Education & AwarenessClient CommunityCompany RepresentationAdvocacy & SupportFairness & EqualityPCTY Gives
Want to learn more, click here to access our DEI flipbook. https://www.flipsnack.com/paylocitycom/diversity-equity-and-inclusion.htmlThis job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change.
This role can be performed from any office in the US. The pay range for this position in Colorado is $87,545.00 - $133,804.00; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for an annual bonus and restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here. This information is provided per the Colorado Equal Pay for Equal Work Act. Base pay information is based on market location. Applicants should apply via www.paylocity.com/careers.
|
Data Science Intern Summer | Paylocity |
Don’t just land a job. Launch your future.
Our all-in-one software platform gives HR pros a way to easily manage daily tasks in payroll, benefits, talent, and workforce management.
But what makes us different is that our technology is backed by a culture that cares. We care about our team members, clients, and partners – because people matter most. And people have always been at the heart of our business.
Since our founding in 1997, this is the thing that's stayed the same, from our employees to the millions of users nationwide that access our platform. We pride ourselves on partnering with our clients to build the workplace they and their employees crave.
Let's go forward together.
Position Overview:
Paylocity is growing its Data Practice Organization! Our data science team is responsible for developing machine learning solutions to meet client needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection.
As a Data Scientist Intern in Product & Technology, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Are you the teammate we are looking for?
Responsibilities:
Select features, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networks Leverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark Conduct ad-hoc analyses and present results in a clear manner? Create automated data and modeling pipelines and develop custom performance tracking Collaborate with data scientists, data engineers, and product analysts to translate human capital management challenges into data science projects? Work closely with full stack software engineers in an agile product development environment to deliver machine learning software features
Requirements:
On track to graduate in Fall 2022 or Spring 2023 with a Master’s or Ph.D. in in?computer science, industrial engineering, statistics, industrial-organizational psychology, neurology, public policy, linguistics, or another quantitative field Bachelor’s degree required Strong previous experience with Python or R and demonstrated experience building production grade machine learning models Able to work in a collaborative environment with a desire to share your ideas Able to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team members?
Preferred Skills:
Previous relevant full-time work experience as a software engineer, data analyst, product manager, consultant, or another technical or analytical role Experience with cloud infrastructure on AWS or Azure Very strong (top 15%) Kaggle performance Invested in staying current in data science by applying new technologies and practices
Our journey forward.
Paylocity strives to create an organizational culture where every employee has a voice, feels truly welcome, appreciated, and free to be themselves, and is empowered and enabled to do their best work. A strong commitment to diversity, equity, and inclusion is critical to creating such a culture.
We’ve made great strides to support diversity, equity, and inclusion. That being said, we realize there’s still room for improvement. Our current focus is on the following initiatives:
Education & Awareness Client Community Company Representation Advocacy & Support Fairness & Equality PCTY Gives?
Want to learn more, click here to access our DEI flipbook. https://www.flipsnack.com/paylocitycom/diversity-equity-and-inclusion.html
This job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change.
This role can be performed from any office in the US. The pay range for this position in Colorado is $87,545 - $133,804 /year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position offers a comprehensive variable compensation package, in addition to a full range of benefits outlined here. This information is provided per the Colorado Equal Pay for Equal Work Act. Base pay information is based on market location. Applicants should apply via www.paylocity.com/careers.
|
Data Science Intern | Blueconduit |
As data scientists at BlueConduit, we use machine learning models, working with geospatial data from a variety of data sources, to predict health hazards in infrastructure. Our founding team members were first to build models to predict whether water pipes were made of lead in Flint. And we’ve expanded that to serve cities throughout North America, on both a for-profit and charitable basis. We are passionate about using data science for social good and improving equity.
BlueConduit is seeking a motivated undergraduate, graduate, or PhD student who will:
Work up to 10 hours per week for the Winter/Spring 2022 semester
Assist with R&D to identify how to continue to scale the impact of BlueConduit’s predictive methods
Integrate client data into internal software tools, generating predicted probabilities of likelihood of lead in pipes at any address
Collect and catalogue relevant data from the web
Participate and present in the BlueConduit Data Seminars (with internal, industry, and academic speakers)
Be curious to learn and understands the human side of data science
Be passionate about data science for social good and environmental justice
We are a small, remote, and growing team, so this is an excellent opportunity to grow into and shape your role at our company. The role provides opportunities for mentorship, growth and for stepping into leadership positions.
Necessary Qualifications:
Relevant coursework and or projects in data science/statistics, machine learning (including validation and evaluation of model performance), public health, epidemiology, geospatial information systems (GIS), or urban planning.
Experience with data analysis in Python, especially Pandas, Scikit-learn, and Numpy
Ability to present results clearly to non-technical audiences
Excellent verbal and written communication skills
Passion for environmental justice and community well being, as the company continues to partner with communities, as it did in Flint, around the country.
|
Director Data Science Vault Safety | Veeva Systems |
Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world’s largest pharmaceutical companies to emerging biotechs. Veeva’s software helps our customers bring medicines and therapies to patients faster.
We are the first public company to become a Public Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.
Veeva is a Work Anywhere company which means that you can choose to work in the environment that works best for you - on any given day.
The Director of Data Science will lead an all-star team of data scientists revolutionizing the speed and accuracy of intake, classification, detection, and processing of adverse reactions to medications and medical devices. If you have the passion and enjoy the fast-paced challenges of a lean startup, this is a great opportunity to disrupt an entire industry.
What You'll Do
Lead the development and own key machine learning algorithms that plug into all stages of drug safety intake, processing, submissions, and signal detections
Provide leadership in recruiting, challenging, and growing an elite team of data scientists
Work closely with software engineers, ML engineers, and ML ops in taking machine learning algorithms to production
Directly collaborate with all product stakeholders and drive multiple features to successful delivery
Be a trusted partner for senior management to determine best solutions, drive alignment and implement decisions throughout your team
Engage with customers, potentially fueling the conversation about what AI can do and bringing clarity to the discussion
Requirements
3+ years in a management role leading data science or engineering teams
7+ years of experience
Proven ability to hire, mentor, coach, and lead a team to success
Ability to motivate people, instill accountability and achieve results
Excellent oral and written communication skills with the ability to effectively explain complex problems and advocate technical solutions to Engineering and customers
Degree in computer science or engineering
Experience with AI and Machine Learning Models
Experience with Natural Language Processing
Advanced knowledge of statistical analysis and data mining techniques (regression, multilevel regression, poststratification, semi-supervised learning, forecasting, decision trees, clustering, A/B testing, etc.)
Nice to Have
PhD in data science or related field
Experience with AWS and Sagemaker
Experience in a regulated industry
#LI-Remote
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
|
Senior Data Scientist | Veeva Systems |
Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world’s largest pharmaceutical companies to emerging biotechs. Veeva’s software helps our customers bring medicines and therapies to patients faster.
We are the first public company to become a Public Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.
Veeva is a Work Anywhere company which means that you can choose to work in the environment that works best for you - on any given day.
The Role
Crossix Analytics is a business within Veeva dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, Veeva Crossix provides most life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.
Veeva is seeking an intellectually curious, resourceful, and collaborative Data Scientist to join Veeva’s Advanced Analytics team. At Advanced Analytics we build the technology and data science products that power Veeva’s targeting, measurement, and optimization solutions. This is a great opportunity to be at the forefront of innovation and help us solve some of the most challenging problems in healthcare data and analytics.
What You’ll Do
Apply Machine Learning and Statistics techniques to large health data sets to build new products and methodologies
Collaborate closely with a team of Data Scientists, Product, and Engineers to improve and implement methods and features
Rapidly build prototype product solutions, communicate findings, iterate
Use technologies like AWS, Spark, Python, R, SQL, and Git in addition to proprietary data mining software on a daily basis
What You've Done
Degree in a relevant technical field (Machine Learning, Computer Science, Operations Research, etc)
5+ Years of hands-on data science experience
Highly proficient in Python and SQL
Experience with source control workflows like GitHub
Experience working with Big Data Technologies like Spark and AWS
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Nice to Have
Advanced degree (MSc, PhD preferred) in a relevant technical field (machine learning, computer science, operations research, etc)
Practical experience applying Causal Inferences methodologies
Experience with R preferred
Perks & Benefits
Flexible PTO
Allocations for continuous learning and development
Health & wellness programs
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
|
Data Scientist Summer | Sprinklr |
What You’ll Do:
Sprinklr is seeking a Data Engineer to join the Modern Analytics team and partner together on data architectures that support enterprise reporting and analytics. This person will work closely with colleagues to develop data flows in Snowflake and in Tableau, providing solutions that yield important insights to the company.
In this role, you should have a background in ETL, data engineering and BI Reporting. Additionally, you should be analytical and an excellent communicator, and also have a business acumen, problem-solving and “can do” aptitude.
Additional responsibilities are as follows:
Contribute toward the design, deployment, and maintenance of data flows in Snowflake; support key datasets that yield structured and timely access to actionable business insights
Ensure that the architecture and data pipelines are aligned with best practices and reporting standards, all the while upholding security, performance, robustness and reliability
Build new and exciting reports and dashboards in Tableau, all the while working with colleagues to interpret insights from the data.
Act as a teammate on a small team, where on any given day, you may wear different hats, roll up your sleeves, and do what is needed to get the job done
Develop a deep understanding of data sources and know exactly how, when, and which data to use to solve particular business problems
As part of development efforts, ensure that technical documentation is created and maintained, along with the capture of business requirements and acceptance criteria that pertain to the technical solution
Contribute to the continual improvement of the business’s data platforms through observations and well-researched knowledge.
Keep a pulse on industry best practices and trends, offering opportunities for process and system improvements
Monitor the existing metrics, analyze data, and lead partnership with other Data and Analytics teams in an effort to identify and implement system and process improvements.
Qualifications:
Degree in Computer Science, Information Systems, or related field.
Experience in SQL and Python; Snowflake and Tableau experience is a plu
Proficiency with data manipulation and analysis, along with the ability to build, maintain and deploy sequences of automated processes.
Demonstrated ability to write clear code that is well-documented and stored in a version control system
Excellent listening, interpersonal, communication and problem-solving skills
|
Data Scientist Intern Summer | Sprinklr |
What You’ll Do:
Engage in exploratory data analysis in alignment with business and technical requirements. The data may span across Sales, Finance, HR, Customer and Operational domains.
Build base models to support business needs and iterate on those models to tune parameters.
Develop and deploy predictive models based on historical data that provide future predictions for specified enterprise objectives.
Build and maintain reporting dashboards in Tableau in order to provide insights to stakeholders.
Offer methodology recommendations to consider for advanced analysis projects (predictive models, clustering / segmentation, etc).
Where needed, engineer data to support enterprise data needs and provide the basis from which data science algorithms can be applied.
Coordinate with different functional teams to build and implement models and monitor outcomes.
Design, build and manage automation tools using Python/ Apps Script/ VBA for a wide range of business requirements.
Identify the key organizational trends using statistical modeling and machine learning, and propose action plans working closely with stakeholders
Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e. g., predictive models, LTV, propensity models).
Who You Are & What Makes You Qualified:
Masters in a field that emphasizes analyzing, displaying, or reporting on data (e.g., data science, computer science, statistics, math, engineering).
Thorough coursework and/or work experience in the field of Data Science, possess experience in building and productionizing machine learning / AI algorithms for classification, regression, clustering, time series forecasting, topic modeling, anomaly detection etc.
Experience with tools such as Python, R, Tableau, SQL and any other related programs for implementing the above responsibilities.
Good understanding of data visualization principles and fundamentals of probability and statistics.
Advanced presentation skills to share key insights with executives, senior leadership and business stakeholders
Experience with data management and having an understanding of data structures as well as data ingestion, blending, transformation and visualization techniques.
|
Data Scientist | Coinbase |
Coinbase has built the world's leading compliant cryptocurrency platform serving over 68 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
At Coinbase, our vision is to build an open financial system for the world, and to get there we’ll need to continually learn from our data. Data scientists are focused on this critical step of converting data into learning.
You’ll spend part of your time collaborating closely with business partners in product, engineering, finance and marketing teams — to ensure we’re focused on the biggest opportunities and interpreting our data correctly. And you’ll spend the other part of your time with the Data team building analytics models and systems that help scale our insights more broadly, both throughout the company and directly in the product. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship.
What you’ll be doing (ie. job duties):
Measure business performance, develop core metrics and create dashboards to track and understand them.
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions.
Synthesize data learnings into compelling stories and communicate them throughout Coinbase.
Act as a strategic partner to functional teams and Coinbase executives; initiate and execute on data-driven analyses to help prioritize opportunities and provide actionable recommendations
Prototype new analytics & machine learning models that improve both our insights and the product directly.
Work across multiple subject matter experts to drive new data initiatives, automation of reports, establish best practices and mentor junior members in the team.
Lead analytics projects to completion.
Work with the broader Data team to find ways to scale our insights through better systems and automation.
What we look for in you (ie. job requirements):
5+ years relevant experience
Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Understanding of statistical concepts and experience in applying them.
Experience in data analyses using SQL.
Experience in at least one programming language (e.g. R, Python, Java, Ruby, Scala/Spark, or Perl).
Be able to independently create plans for analytics projects and build collaboration within the team.
BA / BS degree or equivalent practical experience
Nice to haves:
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage.
Previous experience working with financial services data is a plus.
Experience with Looker, Tableau or other business intelligence platforms.
Domain experience in product, marketing, growth, or other business analytics areas.
Experience manipulating large amounts of structured and unstructured data.ID:G1435
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.
|
Senior Data Scientist | Dave Inc |
Dave is a banking app on a mission to create financial opportunity that advances America’s collective potential. Dave's financial tools, including its debit card and spending account, help its more than 10 million customers bank, budget, avoid overdraft fees, find work and build credit.
Dave is a virtual-first company, which means there is no preference on where team members get their work done. Employees are able to live anywhere in the United States, with the only exception of Hawaii for now. For those who want to work in an office setting on a more regular basis, we will eventually open offices in Los Angeles and San Francisco.
Dave is backed by Mark Cuban, Norwest Venture Partners, Section 32, and Financial Venture Studios, among many others and just announced our plans to go public by the end of 2021.
Team Overview
Dave is looking for an experienced and passionate senior data scientist in our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Dave and improve user experience for our customers.
What You'll Do
Be constantly curious and continue to pursue in-depth explorations of our datasets.
Collaborate with key stakeholders to understand the business problems, ideate ML solutions and effectively communicate to stakeholders.
Research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on.
Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current- and next-generation GPU, network and compute architectures.
Partner with Engineering, Product team to develop and deploy ML solutions into product features.
Continuous monitoring and evaluating model performance and communication to the relevant stakeholders.
Conduct model related analyses to provide comprehensive insights about ML solutions.
What You'll Need
BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Mathematics, Statistics or other STEM fields.
5+ years of industry modeling and machine learning experience to build ML-driven products for solving business problems eg. prediction, optimization, segmentation and so on.
5+ years experience as an ML scientist/engineer with proven ability in developing ML models in Python, C++
Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark and cloud platforms.
Ability to communicate your ideas/code clearly to business stakeholders.
Enjoy working with multiple levels and teams across organizations (engineering, product and marketing teams etc.)
Effective verbal/written communication, and technical presentation skills.
Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team.
Preferred Experience
ML model deployment in production experience plus
Experience in Financial Services or FinTech plus
Experience in credit, fraud, automation and personalization/recommendation system
Benefits & Perks
• Premium Medical, Dental, and Vision Insurance plans
• Insurance premiums 100% covered for you and 80% for your dependents
• Company provided Basic Life and Short-Term Disability plans
• Competitive salary and equity compensation packages
• Voluntary Life Insurance and Long-Term Disability plans
• 401(k) savings plan with matching contributions
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• Generous and flexible PTO
• Flexible work hours
• Generous paid parental leave
• A collaborative environment with opportunities for learning and growth
• Virtual social events
Dave Inc is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, ethnicity, religious creed, color, national origin, ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, age, status as a protected veteran, status as an individual with a disability, medical condition, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.
#LI-REMOTE
|
Staff Data Scientist | Figure |
About Figure
Figure is transforming the trillion dollar financial services industry using blockchain technology.
In three short years, Figure has unveiled a series of fintech firsts using the Provenance blockchain for loan origination, equity management, private fund services, banking and payments sectors - bringing speed, efficiency and savings to both consumers and institutions. Today, Figure is one of less than a thousand companies considered a unicorn, globally.
Our mission requires us to have a creative, team-oriented, and supportive environment where everyone can do their absolute best. The team is composed of driven, innovative, collaborative, and curious people who love architecting ground-breaking technologies. We value individuals who bring an entrepreneurial mindset to every task and will embrace our culture of innovation.
Every day at Figure is a journey in continuous learning yet a daily focus on getting work done that makes a difference. Join a team of proven leaders who have already created billions of dollars in value in the FinTech space!
Forbes America’s Best Startup Employers
Forbes Top 50 Blockchain Companies
Figure Series D Announcement
About the Role
Each member of the Data Science team plays an integral part of what we are building at Figure. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!
What You’ll Get To Do
Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance.
Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions.
Understand and apply proper risk framework to your analysis and modeling.
Collaborate cross functionally to implement models and monitor outcomes.
What We Look For
5+ years of hands on Data Science experience building Models and partnering with stakeholders to make business decisions
Credit and Risk modeling experience in consumer finance a plus
Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions.
Experienced in using Python for analysis and modeling (TensorFlow is a big plus)
Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks.
Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
Excellent cross-functional communication skills.
Ability to thrive in a fast-paced environment.
Benefits and Perks
Competitive salary and growth opportunities
Company quarterly performance based bonus
Equity stock options package
Employer funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents
Employer funded life and disability insurance coverage
Company HSA, FSA, Dependent Care, 401k, and commuter benefits
Up to 12 weeks paid family leave
In office, remote, and hybrid work location options
Home office and technology stipend for those working outside of a traditional office more than 75% of the time
Flexible time-off plan to empower employees to take the time off that they want and need
Continuing education reimbursement
Routine Team swag deliveries!
Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and Prospective Employee Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.
Figure is unfortunately unable to provide sponsorship for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
|
Senior Data Scientist Computer Vision | Socure |
Who we are:
Founded in 2012, Socure is the leader in digital identity verification technology at account onboarding and beyond. Our predictive analytics platform applies artificial intelligence and machine learning techniques, with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real-time. We have more than 750 customers across the financial services, gaming, telecom, and ecommerce industries, including four of the top five banks, seven of the top 10 credit card issuers, three top MSBs, multiple tier-one payroll providers, the top credit bureau, and over 100 of the largest and most successful fintechs such as Varo Money, Public, Chime, and Stash. Socure is now offering its solutions to public sector agencies.
We are also funded by some of the world's best investors, including Accel, Scale Venture Partners, Commerce Ventures, Citi Ventures, Wells Fargo Strategic Capital, Capital One Ventures, and more.
Our trophy case includes numerous industry awards and accolades, including being named one of Forbes America’s Best Startup Employers 2021 as well as the Best New Technology Introduced over the Last 12 months – Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked #70 on Deloitte’s Technology Fast 500™, getting listed as a Gartner Cool Vendor, and winning Finovate’s Award for Best Use of AI/ML, to name a few.
The only way we can further our mission of becoming the single, trusted source of identity verification and eliminating identity fraud is by building the best team on the planet. This is where you come in.
What the role is:
Socure is hiring a Sr. Data Scientist to lead efforts to improve our current computer-vision based identity verification solution. The Sr. Data Scientist is part of a global team, and will work under the direction of the Sr. Director of Data Science (Computer Vision) and in close partnership with data science teammates and colleagues in product and engineering. They will contribute in a hands-on capacity to the development and implementation of computer vision algorithms, as well as make technical recommendations to drive solutions.
This role can be based anywhere remotely within the USA.
What You’ll do:
Lead the the machine learning aspect of projects related to the evolution of the product, working in collaboration with the Product and Engineering teams
Identify opportunities to solve challenges with novel solutions
Implement, optimize and deploy cutting edge computer-vision algorithms like OCR, RCNN, MTCNN, SSD ResNet, SSD MobileNet, Barcode Reader,…
Feature Engineering
Perform analysis to assess risk of fraud
What You'll Bring:
Masters or PhD. in deep learning and computer vision
Experience with at least two of the following: object detection, segmentation, face detection and recognition verification, text detection and recognition or anomaly detection.
A minimum of 4+ years experience as a data scientist, ML or CV engineer or scientist, contributing in both a hands-on and strategic capacity
Expertise and knowledge in the state of the art of computer vision and machine learning
Preferred to have experience with NLP
You are experienced with GPU
You have programming experience in Pytorch and/or TensorFlow
Perks & Benefits:
Competitive base salary
Equity - every employee is a stakeholder in our upside
Medical, dental and vision benefits for employees and their dependents
Parental leave and fertility support
Flexible PTO
401K with company match
Stipend to supply your home office
Annual professional development stipend
A Message on COVID-19:
Socure's number one priority is to safeguard the health and well-being of our team members, our families and our communities. During this unprecedented time, we are closely monitoring COVID-19 developments and updating our response plan quarterly. We are regularly soliciting feedback from our employees to help inform our return-to-office strategy. For our team members who loved going into the office, we are looking forward to meeting once again! But until then, we are striving to ensure that Socureans have the resources and support they need to excel from home. This includes a work-from-home stipend so you can build your home office and fun, virtual events so you can continue to feel connected to your coworkers.
We are an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
|
Data Scientist | Rackspace |
Rackspace is a different kind of technology company. With a combination of unbiased expertise, meticulous methodologies and innovative delivery models, we are uniquely positioned to help you achieve your specific goals using the appropriate combination of technologies.
Our ability to apply best practices and provide exceptional solutions has resulted in numerous industry awards, including being a leader in the Gartner Magic Quadrant for Public Cloud Infrastructure Professional and Managed Service Providers, Worldwide 2019.
Right now Rackspace and the Global Data Office is growing the Data Science team!
What we do?
Data Science is one of the blocks under the Integrated Technology Solutions organization. We are the hub of where Rackspace operations, strategy and data analytics converge, helping the business connect insights to action. Here’s your chance to help to build sound Data Science models with our customer and operational data.
As a member of Rackspace Data Science team, you will be delivering decision support to several different internal organizations. As such you will use machine learning, statistics, and problem-solving techniques to provide actionable insight on system/technology performance and how to improve the customer experience and commercial performance to help meet business goals. Our vision is to optimize the future with better data-driven decisions today!
What You’ll Do?
Candidates who thrive in this role need to be exceptionally well-rounded, flexible, and driven. Having a practical approach to Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets to execute and deliver on the most impactful opportunities while leveraging analytical best-practices will be required to succeed in this role.
The role requires the knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities and make valuable discoveries leading to prototype development and product improvement. Ideal candidates are able to frame Data Science problems, put mathematical models into production, writes reusable code, builds high quality data pipelines in cloud environments and answer business questions to management. In addition, using your influencing and relationship-building skills, you will drive the communication with internal organizations.
What is required :
Strong structured learning/hierarchical and statistical modeling techniques and Machine learning experience.
Ability to obtain data from multiple, disparate data sources including structured, semi-structured and unstructured data to find actionable business insight, with an emphasis on customer experience. This will require Experience with cloud-based ecosystems (GCP, AWS).
Utilize analytical techniques to determine areas of opportunities to help meet business goals.
You will use bold problem-solving skills and provide analytics to understand the drivers of current issues and recommend solutions
You will assist other organizations of the company in understanding the value of an analytical approach to decision-making, provide them with the insights that contribute to their strategic goals and influence their day-to-day activities with tools and solutions.
Who we need :
Bachelor’s Degree in Applied Mathematics, Physics, or Quantitative Discipline
Master’s degree on Data science, business analytics, or other data related field
3+ years of relevant industry experience in analytical/technical roles
Advanced proficiency in querying and composing large datasets with Big Query or SQL
Proficiency using Tableau, Qlik Sense, Power BI (or similar BI tools) to create data visualizations
Exceptional team collaboration skills with the ability to work in matrix organizations and influence people
Excellent verbal, written, and data presentation skills
Hands on experience on statistical analysis and/or data science experience utilizing R or python
Solid time management and organizational skills. Able to work independently under pressure in time-sensitive, fast-paced environment
Creativity and critical thinking to go beyond current tools to deliver the best solution
Bonus points if you have :
Strong operational and financial acumen
Experience in strategy consulting
Six Sigma Green Belt Certified
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
Position is available for remote work in the following states unless otherwise specified. Alabama, Arizona, Arkansas, California, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming.
|
Data Science Manager | Civis Analytics |
What we do
At Civis, we take a science-first approach to solving problems. With a blend of proprietary technology and statistical advisory services, we help public and private sector organizations find, understand and connect with the people they care about, so they can stop guessing and start using mathematical proof to guide decisions. We know others use “data science” and “analytics” as buzzwords, but at Civis we don’t stand for fluff, and we will always deliver scalable products and technologies — not PowerPoints — to drive your business forward. Learn more about Civis at www.civisanalytics.com.
Our mission
Our mission is to bring objective, data-driven truth to organizational decision-making – all the way from the boardroom to the world’s largest social causes.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we are looking for/Responsibilities
We are looking for a Data Science Manager to lead 6 - 10 data scientists across multiple teams. Data Science Managers are responsible for building an engaging team environment, recruiting talent to the team, and developing staff to their highest potential.
At Civis we build software products for teams of Data Professionals. Civis Platform, our flagship product, makes cutting-edge data science and data warehousing techniques available to a broad audience. We are looking to hire experienced data scientists and engineers to scale our team to achieve our ambitious goals. Civis Data Science Managers exhibit sound judgment, ownership, and autonomy. At Civis, you will be responsible for fostering an inclusive, supportive, and high performance environment for your direct reports.
Required Qualifications
5+ years of experience as a data scientist or similar role, including experience taking a leading role in significant technical projects
2+ years leading teams of data scientists or others in similar roles
Demonstrated experience building team culture and data science processes, especially on high growth teams
Exemplification of an eagerness to constantly learn and teach others
Experience using Python or R to analyze data
US work authorization
Preferred Qualifications
Significant experience with any of the following:
Machine Learning libraries (e.g., scikit-learn, TensorFlow)
Probabilistic programming libraries (e.g., Stan/RStan, Tensorflow Probability)
Statistical methods for survey inference or observational causal inference
Statistical modeling of person-level data
Experience working with political data or government data (e.g., Census Bureau data)
Experience building software for internal or external users
Why join our team?
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal and inclusive workplace.
Competitive benefits, including unlimited PTO, 401K match with immediate vesting, health, dental, and vision benefits, fully paid parental leave, breastfeeding support including breastmilk shipping services for traveling moms, commuter benefits, wellness initiatives including weekly group meditations, monthly on-site massage therapy, and pet insurance.
To support employees in our now fully remote work environment, we also have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (5-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-up where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from home schedules to help employees juggle responsibilities at home.
Civis Analytics embraces the individuality of our employees and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or Veteran status. If you have a disability or special need that requires accommodation, please contact [email protected]
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
|
Staff Data Scientist | Iterable |
Iterable is a cross-channel platform that powers unified customer experiences and empowers marketers to improve on every interaction taking place throughout the customer journey. With Iterable, brands create individualized marketing touchpoints that earn engagement, solidify trust and galvanize loyal consumer-brand relationships.
Developed for the enterprise, Iterable is built from modern technologies that transform cloud, partner and tool-specific data into integrated, personalized engagements. No matter the audience size or degree of campaign sophistication, Iterable empowers brands to implement where it matters most—creating experiences and promoting connections with over 2 billion people world-wide. Leading brands, like Zillow, DoorDash, Calm, Madison Reed, and Box, choose Iterable to power excellent customer experiences throughout the entire lifecycle.
Iterable's momentum grows daily and there has never been a more exciting time to join the team! We've been recognized as one of the Best Places to Work - SF for the past four years, one of the Best Places to Work in Colorado for the past two years, and were named as one of Colorado’s Best Paying Companies! We’ve also been listed on Wealthfront’s Career Launching Companies List for the past two years, rank sixth on the list of Top 25 Companies Where Women Want to Work and hold a top 20 spot among the SaaS 100.
We have a global presence with offices in San Francisco, New York, and Denver, and London, and remote employees located all over the world. As we scale, we continue to live by our core four, founding values - Trust, Growth Mindset, Balance, and Humility. To understand the Iterable story, and learn more about our mission, explore our Culture and About Us page.
How you will make an impact:
We serve large and small companies spanning many different industries and have the opportunity to analyze large and diverse data sets. You will be leading data science projects to launch new machine learning products and improve our Engagement Optimization, Content and Product recommendation models. Here’s more information about our Engineering culture, values, and interviewing process.
One of our core values is growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.
In this role you’ll get to:
We serve large and small companies spanning many different industries and have the opportunity to analyze large and diverse data sets. You will be leading data science projects to launch new machine learning products and improve the predictive features in our core platform.
Position Details:
Research, evaluate, train and adapt state of the art machine learning algorithms
Mentor data scientists and ML engineers on state of the art machine learning developments
Study academic and industry research papers to learn new machine learning techniques for marketing use cases such as personalization, user segmentation and content or product recommendations
Work closely with other machine learning and data engineers to improve the tools and processes to streamline ml development
Design end-to-end machine learning systems including data acquisition, data cleaning, data models, model training, model serving and evaluation
Build the Iterable AI brand with a track record of talks, blog posts, open source contributions and research articles
Collaborate with leadership, senior teammates and product managers to create product and technical roadmaps for features and products as part of Iterable AI
The Ideal Candidate Will Be/Have:
Masters or PhD in CS, Math, Physics or similar engineering/science discipline
Extensive experience with multiple ML applications, especially personalization.
Expertise with data exploration, visualization and unsupervised learning techniques
Experience with building end-to-end machine learning systems in production
Comfort with modern Deep learning frameworks and the Python data science ecosystem
Experience with large scale data and commercial ML platforms
Perks & Benefits:
Paid parental leave
Competitive salaries, meaningful equity, & 401(k) plan
Medical, dental, vision, & life insurance
Balance Day (First Friday off every month)
Fertility & Adoption Assistance
Paid Sabbatical
Flexible PTO
Daily lunch allowance
Monthly Employee Wellness allowance
Quarterly Professional Development allowance
Pre-tax commuter benefits
Complete laptop workstation
Perks & Benefits:
Paid parental leave
Great compensation packages, meaningful equity, & 401(k) plan
Medical, dental, vision, & life insurance
Balance Day (First Friday off every month)
Fertility & Adoption Assistance
Paid Sabbatical
Flexible PTO
Daily lunch allowance
Monthly Employee Wellness allowance
Quarterly Professional Development allowance
Pre-tax commuter benefits
Complete laptop workstation
We’ve rethought traditional workplace planning and are looking to strengthen belonging, innovation, productivity, and happiness whether it’s in an office, from home, or a hybrid of the two. As such, we've moved to a single geographical compensation band for all of our employees (the San Francisco Bay Area market for the US, London for the UK).
For Colorado-based employment: The minimum salary for this position is $182,000/year. The compensation package includes equity, plus a range of medical, dental, vision, financial and other benefits. Additionally, perks such as daily paid lunches and generous stipends for health & fitness and learning & development, among others, are included.
Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.
Last Update: (6/23/2021)
|
Sr Data Scientist | Betterup |
At BetterUp, we give people the coaching, support, and push they need to reach peak performance and unlock their limitless potential, in all they do, personally and professionally. We work with world-class experts and Coaches, pioneer innovative technology, and foster human touch at scale to fuel the BetterUp experience, and make growth and development achievable for all. We believe that practicing strong mental fitness is a never-ending practice of maintaining and building the strengths that proceed health, happiness, and success.
And we’re looking to build out a diverse and ambitious team of go-getters to join us as we grow. Exciting opportunities lie ahead, as well as work that makes a real difference — not only in the lives of others, but for your own personal and professional growth, too. Join us as we continue to bring BetterUp to more people everywhere, and create impactful change for our members and for you.
Come build the future of data at BetterUp! We are looking for an experienced Sr. Data Scientist to join our team. At BetterUp we believe that data is critical to our success. If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and enjoy driving the business forward with data, then this is the role for you.
What you’ll do:
Be an embedded analyst in one of our product squad and serve to help them drive product growth through a deeper understanding of our members
Conduct data deep dives to continue to learn new truths about the member experience. Present your findings to the squad with key recommendations on the next steps that will help drive future product strategy
Partner closely with Product Managers to understand their needs and goals and ensure to cascade critical information they need to know about what is possible with our data
Partner closely with data engineering to design new data models that serve to provide data on each critical part of the experience
Help drive A/B testing strategy including testing design, and measurement. Help ensure that all tests are well designed to ensure quick learnings
Create statistical models to better understand the drivers behind members’ usage and personal growth
Translate complex results to non-technical audiences and help use data to inform the product strategy
Build strong relationships with other analysts to ensure we leverage each other's learnings and research
Reports to the Director of Product Analytics
If you have some or all of the following please apply:
5-7+ years of experience programming with SQL, LookML, and Python / R
5-7+ years of experience building statistical models that drive a deeper understanding with 3+ of those years at a fast-growing technology company
The ability to translate complex results into strategic recommendation (both written and verbal)
Previous experience with Amplitude a plus
Benefits:
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.
Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Medical, dental, and vision insurance
Flexible paid time off
Per year:
All federal/statutory holidays observed
4 BetterUp Inner Workdays (https://www.betterup.co/inner-work)
5 Volunteer Days to give back
Learning and Development stipend
Holiday charitable contribution of your choice on behalf of BetterUp
401(k) self contribution
Diversity & EEO statement
We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.
BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
#LI-Remote
|
Senior Data Scientist Workforce Analytics Americas | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, implement and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into vast, high-impact projects and make foundational contributions across analytics, strategy and operations? If so, this role is for you!
As a Senior Data Scientist, Workforce Analytics on our Customer Support Services (CSS) team, you will partner closely with key business leads, focus on some of the most exciting challenges Atlassian faces.
Some examples of what you will be doing:
Work closely with finance, product, and CSS leadership teamBe responsible for predictive modeling and analyses of workforce data: workforce growth, organization structure, and talent managementOwn and drive improvement of inbound business volume forecasting; working with Operations partners to better enable staffing, training, and optimization of resourcesOwn and enhance predictive pipelines and advanced analytic tools support CSS Workforce Management forecasting and allocationKey contributor to workforce planning strategy which is critical to Atlassian customer support experienceWork closely with Data Engineering team on measurement and data instrumentation maturity
Some examples of the skills and tools you'll use are:
Analytics: Statistics, predictive modeling, advanced analytics, metrics and measurement, ETL automation, and data pipelines, data story tellingTools: SQL, Tableau, R / Python, Excel, etc.Collaboration: Confluence, Jira
|
Senior Data Scientist Americas | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, implement and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into vast, high-impact projects and make foundational contributions across analytics, strategy and operations? If so, this role is for you!
As a Senior Data Scientist on our Customer Support Services team, you will partner closely with key business leads, focus on some of the most exciting challenges Atlassian faces.
Some examples of what you'll be doing:
Work with a cross functional team to drive improvement and efficiency in a rapidly scaling and dynamic customer support environment, bringing analytic capabilities and insights to bearDevelop strong collaborative partnerships with business and operations leadersUse compelling data, deep business acumen and exceptional communication to drive business strategy and executionAddress business challenges, performance bottlenecks and growth opportunities with analytic solutionsPropose rapid experiments or A/B tests to assess the effect of new strategies or initiatives, and iterate quickly
Some skills and tools you'll use are:
Analytics: Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurementTools: SQL, Tableau, R / Python, Excel, etc.Collaboration: Confluence, Jira
More about you:
You've been working with data for 5+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field.You have experience in building business impacting analytic solutions and experience using data to influence operational teams. You have strong communication skills (non-technical) and core tech skills.To keep pace with our rapid growth you enjoy and are capable of learning new things quickly. You can take an ambiguous assignment and move rapidly to deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and couple that with intuition and light-weight tests to prioritize how to drive forward on complicated problems.You are someone who actively likes to mentor / grow less experienced analysts.You have strong business acumen, love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.You combine curiosity with critical thinking and good judgment, and like asking "why" to unravel a seemingly complex problem and get to the root cause.You know how to gather, document, and interpret business requirements; always knowing how to ask the ‘why’ underpinning all requests.You’re a senior ‘pillar of the team’, confident in your business acuity, analytics expertise and communication / coordination skills to push through ambiguity and up-skill those around you.When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward, and exercise good judgment to drive ahead.
|
Senior Manager Data Science Europe | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from the Netherlands, UK, France, and Germany your interest, apply today and chat with our friendly Recruitment team further.
Do you get excited by the challenge of scaling a fast-growing company through strong analytics insight and data science solutions? Do you find it rewarding to navigate through complexity and solve problems nobody had solutions before? Are you enthusiastic about experimentation, fast learning and innovation?
We have a unique opportunity for a senior leader to grow a high-performing team with a passion to solve business problems with advanced analytics. You and your team will be the strategic partners to senior business leaders, uncovering opportunities and problems, test and measure hypotheses, build analytics and data science solutions, and surface insights to drive transformative changes.
The ideal candidate will be a seasoned people manager with a background in applied statistics, economics or a related quantitative field. We are looking for someone with solid commercial awareness, who is comfortable with ambiguity and complexity, and has experience working with senior leaders and cross functional teams. You are a self-starter, strategic problem solver, and a humble leader. With demonstrated success in using data science to drive understanding, progression, and decision making for large organizations.
In this role you will:
Hire, lead, and grow a team of data scientists with great technical skills, commercial awareness, and value fitPartner with leaders to identify business opportunities and build critical metricsPartner with cross-functional teams (program management, etc) to enable transformative initiatives and make an impactBe an inspiring leader, build analytics strategy, provide transparency of roadmap, and drive sprint planningBuild shared vision, empower a team of missionaries, and deliver high-quality outcomeDrive impactful analytics insights, build data science solutions, and measure impactManage roadmapping, sprint planning, partner engagement, and remove blockers when neededBe a great communicator, able to share complex ideas simply, advocate teamwork, and coach data storytelling
On your first day, we'll expect you to have:
Experience as a people leader with proven success growing and mentoring teamsBackground working in analytics and data science fieldSuccess at hiring, managing and growing a globally distributed team remotelySolid commercial acumen and critical thinking - when there is complexity and ambiguity, you can help your team identify the right problem to solveSuccess at building a culture of data-informed decision making, fast learning, and innovationStrong communication skills to tell data stories to a non-technical audienceStrong technical background in statistics, measurement, experimentation, modeling, SQL, R/Python, data instrumentationExperience applying advanced analytics knowledge to the real worldRoadmap planning, sprint planning, and project management skills
It's great, but not required, if you have:
Experience in B2B, customer support, customer successExperience in product analytics, people analyticsExperience with large data sets and distributed computing (Hive/Hadoop)Experience in using Jira, Team Central, Confluence to manage and share team's work
|
Principal Data Scientist Europe | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from the eNetherlands, UK, France, and Germany your interest, apply today and chat with our friendly Recruitment team further.
Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, implement and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into vast, high-impact projects and make foundational contributions across analytics, strategy, and operations? If so, this role is for you!
As a Principal Data Scientist on our Customer Support Services team, you will partner closely with key business leads, focusing on some of the most exciting challenges Atlassian faces.
What you'll get to do:
Work with a cross-functional team to drive improvement and efficiency in a rapidly scaling and dynamic customer support environment, bringing analytic capabilities and insights to bearDevelop strong collaborative partnerships with business and operations leadersUse compelling data, deep business acumen, and exceptional communication to drive business strategy and executionAddress business challenges, performance bottlenecks, and growth opportunities with analytic solutionsPropose rapid experiments or A/B tests to assess the effect of new strategies or initiatives, and iterate quickly
Some skills and tools you'll use are:
Analytics: Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurementTools: SQL, Tableau, R / Python, Excel, etc.Collaboration: Confluence, Jira
More about you:
You've been working with data for 7+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science, or other quantitative fields.You have experience in building business impacting analytic solutions and experience using data to influence operational teams. You have strong communication skills (non-technical) and core tech skills.To keep pace with our rapid growth you enjoy and are capable of learning new things quickly. You can take an ambiguous assignment and move rapidly to deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and couple that with intuition and light-weight tests to prioritize how to drive forward on complicated problems.You are someone who actively likes to mentor / grow less experienced analysts.You have strong business acumen, love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.You combine curiosity with critical thinking and good judgment, and like asking "why" to unravel a seemingly complex problem and get to the root cause.You know how to gather, document, and interpret business requirements; always knowing how to ask the ‘why’ underpinning all requests.You’re a senior ‘pillar of the team’, confident in your business acuity, analytics expertise, and communication/coordination skills to push through ambiguity and up-skill those around you.When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward, and exercise good judgment to drive ahead.
|
Group Manager Analytics And Data Science Pdt | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We’d love you to join us:
We're looking for an Analytics & Data Science leader (Group Manager) with strong business instincts, management experience, creativity, and analytics mastery. Someone who is passionate about applying these skills to lead multiple analytics teams, drive smarter product decisions, and ultimately delight our customers.
In this role you'll get to:
Collaborate with Atlassian’s product leaders to provide data-driven viewpoints on strategic decisions, identify high impact opportunities for analysis and align priorities with the company strategy and product roadmapLead a team of data science managers and plan insight and measurement roadmaps by collaborating with product partners, customer research, data engineers and other analystsDesign targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueBe part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
On the first day, we'll expect you to have:
Extensive proven experience applying your analytics to initiatives which have had a positive impact on company level business and product decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality; with experience coaching teams to balance rigor, perfection and speedStrong ability to influence; crafting compelling insights, explaining data science concepts to diverse audiences, and building decision confidence by sharing expertise of facts and uncertaintiesFamiliarity partnering with multiple business functions. For example; Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsExtensive previous experience in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in A/B experimentationA degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
An understanding of SaaS business model and metricsPreviously worked in global teams and high growth companiesAre an active member of the broader analytics and data science community
|
Senior Forecasting Decision Scientist Americas | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
We are looking for a top-tier data scientist to join our Decision Sciences team as a Senior Forecasting Decision Scientist. As a member of the decision science team, you’ll be providing the models and insights that empower teams across our business to learn quickly and make smart investments. Atlassian is experiencing rapid growth, so there are plentiful chances to create an impact in this role.
You are passionate about bringing structure to complex business problems. Your models will create powerful feedback loops between incoming data and decision-makers. Working alongside data engineers, data scientists, and product leaders, you’ll be monitoring business performance and translating insight into improved business forecasts. You've got demonstrable experience with building and deploying predictive models and a proven track record of fostering strong and trusted relationships with stakeholders, with whom you turn data into action.
On your first day, we expect you to have:
5+ years of relevant experience using data to build software at industry-leading companiesExpertise in SQL and one of Python or R3+ years of applying statistical and econometric methods that uncover actionable insights, estimate causal relationships or derive predictions.Demonstrable experience in deploying production-grade predictive models in close collaboration with engineering teams, product leaders and business stakeholders.Excellent communication to garner trust and bring forecasts close to product driversAbility to turn complex findings and results into a compelling narrative and a set of actionsStrong sense of accountability, self-drive, and the ability to function independentlyPassionate about products, and about analytics as a craftUndergraduate in a technical subject from a top school
It’s great, but not required, if you have:
Exposure to advanced statistical or econometric techniques (e.g. survival analysis, vector autoregression, general linear models, Markov models and panel data methods)Experience in both enterprise (or B2B) as well as consumer (or B2C) environmentsTrack record of presenting at meet-ups and conferencesMS, MBA or PhD degree in a relevant topic
|
Principal Data Scientist Confluence Performance Americas | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Confluence is changing the way companies collaborate and share information. More than half of Fortune 100 companies, hundreds of thousands of teams, and millions of users use Confluence every day to get their jobs done, faster and more collaboratively. Join us as we unleash the power of teams all over the globe.
We are looking for a top-tier data scientist to work on Confluence product analytics. The role needs to manage a multi area within product analytics, with the possibility of having direct reports.
Product performance and scalability is the backbone of any B2B cloud products. On top of this, user’s needs for workplace collaboration products are fast evolving. Therefore, this role is multidisciplinary. You need to have the skills to dig deep into both performance and API data as well as usage data, connect the dots together quickly and communicate insights in a way that persuades action. Your product managers, UX designers, and full stack software engineers, lean on you for data informed decisions. Particularly for this role, you will have the opportunity to shape product roadmap.
On the first day, we'll expect you to have:
5+ years of experience in a product analytics functionExpertise in SQL and proficiency in PythonThorough understanding of usage data creation process and experience of partnering with engineering teams for data trackingExperience in designing and analyzing product experimentsAbility to turn complex findings into a compelling narrative and a set of actionsTrack record of influencing decision-making using analyticsBackground in Engineering or quantitative subject (e.g. Mathematics, Physics, etc)
It's great, but not required if you have:
Experience in both enterprise (or B2B) as well as consumer (or B2C) environmentsManagement experience
|
Senior Data Scientist Product Analytics Agile Devops Australia New Zealand | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionising the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We'd love you to join us!
We are looking for a Senior Data Scientist to join our Product Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately, delight our customers.
You’ll be part of Atlassian’s multi-discipline Agile & DevOps product organisation whose mission is to enable our customers to connect every dimension of their work with greater visibility, organisation, and impact through our industry leading Jira Software.
In this role you'll get to:
Collaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and product roadmapDesign targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueDrive the measurement culture and understand the impact our product strategyEnvision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
On the first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact to company level business and product decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality, balancing “having something now" vs. "perfection in the future"Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling storiesFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsExpertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny)A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
Previously worked in global teams and high growth companiesAn understanding of the SaaS development, business model and metricsExperience in customer and/or product analytics, particularly in delivering outputs which can be used to advance analytics projects across an organisationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science communityAdvanced degree in Computer Science, Math or Statistics
|
Senior Data Scientist Australia New Zealand | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Do you get excited by the challenge of scaling a fast-growing company by powering it with data? Are you intrigued by the ever-evolving landscape of workplace collaboration products?
Using your eye for business and creative problem solving, you will build data products and generate insights that will allow our business and product leaders to make better-informed decisions. We’re growing fast, so there’ll be tons of opportunities for you to make an impact and take charge of the direction of your work.
Product Analytics at Atlassian is multidisciplinary. The ideal teammate is someone who has the skills to surface insights quickly, and communicate those insights in a way that persuades action by senior leaders, product managers, designers, marketers and engineers. You'll use SQL, R, and/or Python often, but you won't be at your desk all day. Part of your job is to improve the data literacy of your product team, teaching people when, where, and how to harness the data available.
You’ll be working within our JSM Product Analytics team collaborating primarily with the Jira Service Management (Sydney, Bangalore and Ankara) product development teams. These teams are working to build and develop Atlassian products to unleash the potential of Customer’s DevOps and ITSM teams!!
On your first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact to strategic and product roadmap decisionsStrong ability to communicate. Explaining complex concepts to diverse audiences, crafting compelling stories, and managing multiple stakeholdersExpertise and experience in working with very large data sets in SQL Expertise and experience in modelling and visualisation in another data programming language (Python, R, etc.)Proficiency in one or more analytics and visualisation tools (e.g., Tableau, Mode, Power BI)Expertise in foundational statistics (data distributions, inferential statistics, probability etc.) and modelling (regression, classification, clustering etc.)
It's great, but not essential, if you have:
Familiarity with event-based analytics, data instrumentation and loggingExperience in breaking down complex problems using MECE frameworksExperience in designing and analysing experiments that drive key decisionsExperience working in a global environment with remote teamsKnowledge of and experience with widely-used workplace collaboration tools and integrations between those toolsAn understanding of the SaaS development, business model and metricsAre an active member of the broader analytics and data science community
|
Data Science Leader | Gemini |
Empower the Individual Through Crypto
Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto.
Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it's a movement.
At Gemini, our mission is to empower the individual and that includes giving our employees flexibility of choice — our Office Optional Policy allows employees to choose to work from one of our physical locations or from home.Select roles that are location-specific will still be eligible for flexible schedules.
The Department: Data
Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the analysts, scientists, and engineers that make up the Data team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including product strategy, user acquisition and journey, cryptocurrency performance and project development, and crypto’s position as a technology, industry, and asset class within the context of the global financial markets at large.
The Role: Data Science Leader
As the leader of the data science function, you’ll steer Gemini’s data science strategy and lead its execution. You will build and lead a high-performance data science team to solve diverse and complex business problems. You will leverage your experience and communication skills to work across business teams to build and develop innovative data science models and algorithms. You will inspire and mentor a strong team through your leadership and strong hands-on capability to transform decision-making and build solutions for different business groups at Gemini. Communicating your insights and driving new product development across the organization is paramount to success. You will also be looked upon to share Gemini’s data vision and products externally.
Responsibilities:
Lead a team responsible for building, scaling and deploying statistical and machine learning models
Establish a vision and roadmap for data science function to strategically change the economics of our business
Coach and mentor capable data scientists and continuously drive them to achieve higher level of excellence
Be able to distill complex models and analysis into compelling insights for our stakeholders and executives
Be a key driver in bringing innovative ideas to the table that are backed by robust analysis, models and insights
Be a hands-on leader and contribute in building and productionizing data science models and algorithms for business analytics and consumer facing applications
Lead applied research and build state-of-art data science solutions for complex customer centric business problems
Develop new tools and solutions to enable stakeholders to consume and understand data more intuitively
Stay up-to-date with data science tools and methodologies in technology and financial domain
Partner with cross-functional teams and translate business problems into technical requirements
Qualifications:
Masters or PhD(preferred) in Statistics, Applied Math, Computer Science or related fields.
10+ years of work experience in analytics and data science domain focusing on business problems
7+ years of work experience using statistical and data mining techniques
5+ years of experience deploying statistical and machine learning models in production
3+ years of experience in integrating data science models into applications
Skilled in programming languages like Python, R and SQL
Sound knowledge in dealing with large data sets for analytical approach and quantitative methods
Ability to influence stakeholders and converse at the executive level
Ability to formulate data into actionable insights and business decisions
Solid understanding of cloud computing and infrastructure concepts
Good understanding of deep learning algorithms and workflows
Experience with one or more big data tools and technologies like Databricks, SageMaker, Hadoop, Spark, Presto
Strong technical and business communication
It Pays to Work Here
We take a holistic approach to compensation at Gemini, which includes:
Competitive Compensation and Profit-Sharing Equity
Flexible vacation policy
Retirement Plan Matching
Generous Parental leave
Comprehensive health plans
Training and professional development
At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.
#LI-PL1#LI-REMOTE
|
Senior Data Scientist Product | Typeform |
About Typeform
One sunny Barcelona morning, two designers sat down to build a beautiful lead gen form for a bathroom company’s showroom. They ended up reimagining the data collection experience, and realized it was one idea they wouldn’t be flushing down the toilet. Today, Typeform is a team of over 300 people from more than 35 countries, with offices in Barcelona, Spain and San Francisco, US.
We’re building a world where brands, businesses, and their communities can have more personal relationships with the people who matter most. To do this, we give people the tools they need to have conversational experiences at scale—because meaningful relationships start with conversations.
From online lead forms and engaging quizzes, to face-to-face encounters in the office, help us build more meaningful relationships, one conversation at a time.
About the Team
At Typeform, the Data team is making data our #1 asset. And we know how important that is— our product helps people collect information in the best way possible, by making it conversational.
That’s why we need you. We’re looking for a Senior Data Scientist to work within our Analytics team.
The Analytics Team work together with our Product department to unlock customer acquisition and retention. We are responsible for identifying and monitoring initiatives that drive customer value, understanding the needs and sentiments of our current customers, as well as for Market Research, Data Analysis, and development of optimization models to enable data-driven decisions and automated optimizations.
About the Role
Here’s what you’ll do:
Partner with Product to proactively influence the activation and retention roadmap, while ensuring our customers get the most value.
Continuously derive insights from our customers' behaviors & journeys with advanced machine learning and statistical techniques.
Develop non-production machine learning models to predict customer behavior that will eventually get deployed by the Machine Learning team.
You’ll define and update key operating and user-engagement metrics that help us understand the health and forecast the future of our business.
Develop and maintain models to predict customer engagement, LTV and retention.
Work with our Data Visualization Experts to develop dashboards that visualize the key user-engagement metrics and marketing funnel from awareness to purchase.
Communicate results and insights from your analyses to our top stakeholders, including founders and investors.
Collaborate, learn, share, and brainstorm with other data scientists.
About you
Here’s what we’re after:
You’ve got 5+ years of experience as a data scientist. Experience working closely with Product is a plus.
You have a proven track record of statistical modeling / applied machine learning with a focus on churn prediction, LTV prediction, and customer behavioral clustering.
You have experience with A/B and Multivariate test design and implementation.
You’re pragmatic. You value simple and effective solutions over complicated brain-melters.
You can take a complex concept and make it sound simple, using clear visual references to help.
You like taking on big challenges—given the appropriate time and resources.
You’re hungry to learn and embrace healthy debate.
You're empathic, enthusiastic, and collaborative.
You’ve are proficient building queries with SQL.
You have experience with AWS or other cloud systems.
You are an expert in Python or R, and have some experience in implementation (Scala/Java).
Having a working knowledge of Big Data technologies (e.g. Spark or Redshift) is a plus.
You’re fluent in English and eager to work in a multicultural, international environment.
Think you’re a good fit? Hit apply—success might be just around the corner 😉
*Today, more than 2.5M people from all over the world use Typeform. We celebrate the diversity of our customer base, and we want our employees to reflect those differences. At Typeform, we’re committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We strive to be an equal opportunity workplace.
|
Data Scientist Varying Levels | Windfall Data |
Founded in 2016, Windfall Data is on a mission to determine the net worth of everyone on the planet. The company helps nonprofit and for-profit organizations to more effectively identify, understand, and engage affluent consumers with the industry’s most reliable and accurate dataset available. More than 750 organizations use Windfall Data to identify and engage their most promising constituents. As a company, we are growing quickly, and every member of our team has a tangible impact on the success of our business and our customers.
At Windfall Data, data is our product — and data science lies at the heart of everything we do. We are looking for experienced data scientists who are able to run machine learning models in production from day one, and who are driven to deeply understand and build upon our unique data assets.
Responsibilities
Build production-quality, custom predictive models to enhance and expand our core product
Investigate new data sources, perform statistical analyses, and document findings
Work with engineering and data vendors to improve the accuracy of our data sources
Requirements
Advanced degree in a quantitative discipline
5 – 12+ years of full-time data science experience, including applied techniques in modern data science and machine learning in production environments
Expert knowledge of Python & SQL
Collaborative, team-focused attitude with a strong desire to advance the product and learn new things
The ability to communicate technical ideas to a non-technical audience
Self-starter with experience turning ideas into actionable designsExcellent written and verbal communication
Eligible to work within the United States
Perks
Small team = opportunity for a big impact
Compensation includes equity and a competitive salary
Excellent company-sponsored benefits
HQ at great location in downtown SF (Jackson Square), option for remote work within US
|
Director Of Data Science | Outdoorsy |
Outdoorsy is looking for a Director of Data Science to join our Engineering team. If you’re passionate about the outdoors and would like to work in a fast-paced environment, then we want you! Fun fact: Outdoorsy has been recognized on the Forbes list of America’s Best Startup Employers in both 2020 and 2021.Job SummaryA hands-on data leader who enjoys both data engineering and science. You're a stickler for proper data infrastructure and you're not afraid to voice your opinion if something isn't designed properly. A/B testing design should be second nature as we lean tech-forward into production-ready ML implementations for automated risk analysis, search ranking and dual-sided marketplace pricing. We’ve got a passionate data team already with room to grow.Qualifications Strong communication and interpersonal skills. Must have an interest in working in a highly collaborative environment Experience designing and implementing a/b tests following statistical principles Must be a "doer" with a "roll up your sleeves" attitude 5+ years of architecting data and business intelligence platforms/ data warehouse 3+ years of experience building, designing, and managing production machine learning models with a focus on optimization Experience presenting data and using data visualization tools such as Tableau Experience transforming vague problems into algorithmic solutions Strong manager of people and projects across reporting lines Excellent influencing skills and a proven collaborator Highly organized with outstanding project management and execution skills Ability to juggle multiple priorities and make things happen in a fast-paced, dynamic environment; strong bias for action Benefits & Perks Opportunity to help build a company from an early stage Competitive salary Equity in one of the world's fastest growing companies Comprehensive health and welfare benefits 401(k) Match Flexible PTO 2 paid RV rentals per year-- we believe in balance and taking the time to nourish mind, body, and soul. About usOutdoorsy is the most trusted RV rental and outdoor experiences marketplace on the planet. We have grown from a lofty white-board idea in 2015 to over $1B in total transactions. Outdoorsy’s mission is making memorable outdoor experiences accessible to everyone. We are creating jobs and helping individuals, couples, and families realize financially life-changing freedom. With offices worldwide in the US, Canada, Australia, Europe and the UK, we’re mobilizing the 56+ million idle RVs and campervans around the world to ensure everyone has the access, choice, and opportunity to safely spend more time outside.We're passionate about our customers, collaborative consumption, community, and entrepreneurship. We’ve been motivated by our values from day one: we always put the customer ahead of ourselves. We like winning. We make long-term progress in the world and repay our gratitude in every community interaction.Outdoorsy has been recognized on the Forbes list of America’s Best Startup Employers in both 2020 and 2021.
|
Director Of Data Science | Biobot Analytics |
Biobot’s mission is to build resilient and inclusive public health infrastructure by turning our sewers into early warning health observatories. During the COVID-19 pandemic, Biobot pioneered wastewater analysis (based on what is excreted in urine and stool) as a tool for tracking the progression of the virus through communities. We are now the leader in pathogen detection for community-level and building wastewater, as evidenced by the U.S. Department of Health and Human Services’ recent award to sponsor COVID-19 monitoring by Biobot of over 300 hundred wastewater treatment plants representing over 100M people. Since the Company’s founding in 2017 from a Massachusetts Institute of Technology (MIT) laboratory, we have been building capabilities to combat public health crises like the opioid epidemic, and plan to expand our early warning platform to serve as a resource management hub for disease, nutrition disparities, and more. Please note that Biobot is currently unable to sponsor employment visas.
In this role you will be responsible for defining, organizing and leading the strategy related to our growing data set and product offerings built around this data. You will work with key stakeholders across the company from Labs, Science, Business, Engineering, and Product development to harvest our growing data set to offer unique insights that can be packaged and offered to customers through a suite of differentiated digital product offerings. This role can be remote within the US, but travel will be required to our Boston and NYC offices.
What you will be doing
Define and grow Biobot’s data team. Establish team processes, foster a data-driven culture across the organization, and propel Biobot as a leader in data science, public health, and data for social impact.
Develop strategic roadmaps for Biobot’s data products, identifying new opportunities for wastewater-based data to have impact and where we can leverage other existing data to add value to our unique wastewater dataset.
Establish best practices for data science at Biobot, including tracking and sharing exploratory data analyses, versioning data, sharing insights across the organization, and communicating our work publicly to relevant communities.
Manage a team of data scientists, epidemiologists, and computational biologists who are developing statistical models to interpret variability in our data and extract community health insights, and coordinate analytics efforts to respond to customer feedback and questions.
Define and drive execution against core KPIs that govern the team’s progress, measurement of impact and effectiveness against company and team goals.
Represent the data science team and its work with Biobot’s leadership, helping set business strategy and driving high-impact decisions.
What you need to succeed
7+ years of relevant experience in data science, applied statistics, epidemiology, geospatial analysis, computational biology, or related.
4+ years of experience in managing and mentoring data science and engineering teams in a high scale technology company. Exceptional track record as a strong and inclusive coach, providing feedback and mentoring to fellow team members.
Experience developing algorithms and performing data analyses on complex noisy datasets, preferably with expertise in at least one of Bayesian statistics, signal processing, time series analysis, geospatial analysis and/or related concepts.
A mastery of either Python or R, with a working knowledge of at least Python, is required.
Demonstrated ability to communicate complex analytical and scientific concepts across a broad range of audiences, including the public, customers, company executives, and in-house technical experts.
Ability to lead organizational change by influencing others across various functions and navigating the team through new processes and/or technical advances.
Ability to drive complex projects from ideation to completion, ideally with formal project management experience.
What will help you succeed
Familiarity with modern software engineering best practices, including iterative/agile development, scientific software development lifecycles, version control, and troubleshooting and testing.
Familiarity with basic computational biology and bioinformatics concepts, including analysis of next-generation sequencing data, targeted or untargeted metabolomics, and/or other ‘omics data types.
An understanding of regulations which govern epidemiological data systems, including requirements for data privacy, accuracy, and security. Knowledge of best practices and high-quality data sources, especially as it relates to public health and population data.
At Biobot, we believe that the best technologists can improve society and we strive to build a workplace in which everyone can thrive. Our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from women; non-binary, trans, and gender-non conforming individuals; Black and indigenous individuals, and people from other minoritized racial and ethnic groups; and other groups traditionally underrepresented in technology startups.
|
Data Science Manager | Citizens Bank |
Description
The Data Science Manager is responsible for planning and implementing long-term strategies around developing and maintaining comprehensive customer and prospect databases, which can be leveraged for various purposes including servicing, marketing, operational streamlining, and customer support. This role will also interact heavily with Business Intelligence analysts seeking to access and utilize the data for approved purposes such as generating analytical insights and provide strategic direction to senior management. This position is expected to play a key role in supporting development of databases, models, insights, and data intelligence that supports marketing programs, marketing list execution, and customer analytics.
Key responsibilities include:
Planning, developing, and maintaining data environments that enable complex business analyticsManaging a team of technical staff members with backgrounds in IT, databases, and statisticsDeveloping long-term strategic plans to improve the data environment by adding data streams, functionality, tools, and cost efficienciesDocumenting the data environment and communicating regarding status and plans with senior management
Qualifications
Required Skills/Experience:
Ability to manage diverse teams with backgrounds in statistics, database development/maintenance, and information technology to build, deploy, and utilize BI systemsAbility to build business cases and secure resources from upper management for BI projects that will drive increased efficiency and growthAbility to successfully communicate analytic results, business insights, and resulting business implications to non-technical business partners7+ years of experience in SQL programming and use of BI tools to derive business insightsExperience with data security and information security auditsAbility to thrive in a fast pace work environment supporting multiple projects for a variety of stakeholders subject to rapidly changing priorities.Effectively communicates, both verbal and in writing, with technical and business teams.Proven ability to apply understanding of data architecture, relational database design principles, and software development life-cycle to create and support business intelligence solutions.
Preferred Skills/Experience:
10+ years of experience in Analytics/Database MarketingStrong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, Oracle, JIRA, SAS, etc.)Proven track record of product development
Education, Certifications and/or Other Professional Credentials:
Bachelors degree in Statistics, Mathematics, Economics, or related field requiredMasters degree in Statistics or beyond preferred
Hour and Work Schedule:
Hours per week: 40
Work Schedule: 8:00-5:00
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability or perceived disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws.
Equal Employment and Opportunity Employer/Disabled/Veteran
#LI-Sourcer1
|
Principal Data Scientist | Citizens Bank |
Description
This Principal Data Scientist will be responsible for developing analytical insights and/or statistical models that optimize business and marketing spend, identify new business/marketing opportunities and/or provide strategic direction to senior management.
This position will collaborate directly with business partners to play a key role in the development and application of models, insights and data intelligence that supports business and marketing programs, customer analytics and operational improvements.
Primary responsibilities include:
Researching growing market trends and mine the Citizens data intelligence to develop new insights that can guide the strategic direction of the Citizens Bank lines of businessAnalyzing current business processes and programs and developing models/strategies/insights that can lead to a more optimal business performance and spend of marketing dollars.Documenting and communicating technical/analytic results for a non-technical audience
Location is not a barrier for this role and while our preference would be to have a chosen candidate with onsite capabilities in one of our corporate headquarters – we are open to remote employment within the United States for an experienced candidate.
Qualifications
Required Skills/Experience:
5 - 10 years of experience in Analytics/Database Marketing, with experience in Financial Services preferred5 - 10 years of experience in SAS and/or related programming languagesStrong written and verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Python, Splus, etc.)Deep knowledge of a variety of statistical concepts and procedures, including generalized linear models, machine learning algorithms, experimental design, stochastic processes, markov process modeling, response surface methodology, and statistical graphics
Education, Certifications and/or Other Professional Credentials:
Master's Degree in Statistics/Mathematics/Applied Math required, PhD preferred
This position is not available in Colorado.
#LI-Sourcer1
|
Senior Data Scientist | Evolent Health |
It’s Time For A Change…
Your Future Evolves Here
Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving power that brings us to work each day. We believe in embracing new ideas, testing ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference in everything from scrubs to jeans.
Are we growing? Absolutely. We have seen about 30% average growth over the last three years. Are we recognized? Definitely. We were named one of “Becker’s 150 Great Places to Work in Healthcare” in 2016, 2017, 2018 and 2019 and are proud to be recognized as a leader in driving important Diversity and Inclusion (D&I) efforts: Evolent achieved a 95% score on its first-ever submission to the Human Rights Campaign's Corporate Equality Index; was named on the Best Companies for Women to Advance List 2020 by Parity.org; and we publish an annual Diversity and Inclusion Annual Report to share our progress on how we’re building an equitable workplace. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it. What You’ll Be Doing: The Sr. Data Scientist will support the building of AI products in an Agile fashion that empowers healthcare payers, providers, and members to quickly process medical data to make informed decisions and overall reduce health care costs. As a research scientist/engineer part of the Data Science team, you will be working primarily on structured and unstructured data to build statistical and machine learning applications to support various use cases around Claims, Payments, Clinical, Administration, Patient Care, and Fraud in Healthcare. These applications include but are not limited to computer vision, understanding the contents of the medical documents using natural health language processing techniques, Structured data in data warehouses, and integrating the processes into the overall AI pipeline and enterprise platforms. The Applications will be used dually for real-time operational processes with both automated and human-based decision making as well as contribute to reducing healthcare administrative costs, reducing the burden on Providers from administrative work, and improving the care of the patients while reducing overall fraud, waste, and Abuse in Healthcare. We work with all major cloud and big data vendors offerings including but not limited to (Azure, AWS, Google, IBM, etc.) to achieve AI goals in healthcare and support Evolent business.
Develop Statistical, Machine learning, and AI-related products to support Evolent Health business objectives, products and improve processing efficiency, reducing overall healthcare costsGather external data sets; build synthetic data, label data sets, and do Data engineering as per the needs for projectsApply software engineering skills and Cloud-native solutions to build ML/AI products to improve automation and improve user experiences leveraging structured/unstructured data, machine learning approach, distributed and cloud computing platformsBuild the Machine Learning and AI products — from platforms to systems for model training, versioning, deploying, storage, and testing models with creating real-time feedback loops to fully automated servicesWork closely and collaborate with Data Scientists, Machine Learning Engineers, IT teams, and Business stakeholders spread out across various locations in the US and India to achieve business goals
The Experience You’ll Need (Required):
MS degree or above in Computer Science, Statistics & Mathematics, Physics, or related STEM fields3+ years of Industry experience related to Data engineering, Data Exploration, Statistical Analysis and building Machine learning models Strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and statistics including Bayesian approachesStrong programming experience including understanding of concepts in data structures, algorithms, and software engineering principlesGood understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and regressions, SVM, trees, model evaluations, anomaly, Fraud detectionExperience with developing and deploying products in production with experience in twoor more of the following languages (Python, C++, Java, Scala)Strong Unix/Linux background and experience with at least one of the following cloud vendors like AWS, Azure, and Google in multiple servicesStrong Data Visualizations skills to build dashboards and very good communication skills to present to a wider audience
Finishing Touches (Preferred):
Experience with computer vision and natural languagePrior experience working in Health care industryMedical concepts with codes from standard ontologies (SNOMED CT, LOINC, RxNorm, ICD, etc.)Experience with Kubernetes and dockers Experience building REST APIs for AI work and knowledge of microservices architecture Experience working with team members spread globally.
Technical requirements:
During the current pandemic Evolent employees are working remotely from home. As such we require that all employees have the following technical capability at their home: High speed internet over 10 MBPS and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.
Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status
#LI-Remote
|
Data Scientist | Evolent Health |
It’s Time For A Change…
Your Future Evolves Here
Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving power that brings us to work each day. We believe in embracing new ideas, testing ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference in everything from scrubs to jeans.
Are we growing? Absolutely. We have seen about 30% average growth over the last three years. Are we recognized? Definitely. We were named one of “Becker’s 150 Great Places to Work in Healthcare” in 2016, 2017, 2018 and 2019 and are proud to be recognized as a leader in driving important Diversity and Inclusion (D&I) efforts: Evolent achieved a 95% score on its first-ever submission to the Human Rights Campaign's Corporate Equality Index; was named on the Best Companies for Women to Advance List 2020 by Parity.org; and we publish an annual Diversity and Inclusion Annual Report to share our progress on how we’re building an equitable workplace. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it. What You’ll Be Doing: The Data Scientist will support the building of AI products in an Agile fashion that empowers healthcare payers, providers, and members to quickly process medical data to make informed decisions and overall reduce health care costs. As a research scientist/engineer part of the Data Science team, you will be working primarily on structured and unstructured data to build statistical and machine learning applications to support various use cases around Claims, Payments, Clinical, Administration, Patient care, and Fraud in Healthcare. These applications include but are not limited to computer vision, understanding the contents of the medical documents using natural health language processing techniques, Structured data in data warehouses, and integrating the processes into the overall AI pipeline and enterprise platforms. The Applications will be used dually for real-time operational processes with both automated and human-based decision making as well as contribute to reducing healthcare administrative costs, reducing the burden on Providers from administrative work, and improving the care of the patients while reducing overall fraud, waste, and Abuse in Healthcare. We work with all major cloud and big data vendors offerings including but not limited to (Azure, AWS, Google, IBM, etc.) to achieve AI goals in healthcare and support Evolent business.
Develop Statistical, Machine learning, and AI-related products to support Evolent Health business objectives, products and improve processing efficiency, reducing overall healthcare costs
Gather external data sets; build synthetic data, label data sets, and do Data engineering as per the needs for projectsApply software engineering skills and Cloud-native solutions to build ML/AI products to improve automation and improve user experiences leveraging structured/unstructured data, machine learning approach, distributed and cloud computing platformsWork closely and collaborate with Sr Data Scientists, Machine Learning Engineers, IT teams, and Business stakeholders spread out across various locations in the US and India to achieve business goalsProvide support to Data Scientists and Machine Learning Engineers on the team
The Experience You’ll Need (Required):
MS degree or above in Computer Science, Statistics & Mathematics, Physics, or related STEM fields1-3 years of Industry experience including internship related to Data engineering, Data Exploration, Statistical Analysis and building Machine learning models Strong understanding of mathematical concepts including but not limited to linear algebra, Advanced calculus, partial differential equations, and statistics including Bayesian approachesStrong programming experience including understanding of concepts in data structures, algorithms, and software engineering principlesGood understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and regressions, SVM, trees, model evaluations, anomaly, Fraud detectiongood programming experience in twoor more of the following languages (Python, C++, Java, Scala)Strong Unix/Linux background and experience with at least one of the following cloud vendors like AWS, Azure, and Google in multiple servicesgood Data Visualizations skills to build dashboards and very good communication skills to present it to wider audience
Finishing Touches (Preferred):
Prior experience working in Health care industryExperience with Kubernetes and dockers Experience building REST API’s for AI work and knowledge of microservices architecture Experience working with team members spread globally.
Technical requirements:
During the current pandemic Evolent employees are working remotely from home. As such we require that all employees have the following technical capability at their home: High speed internet over 10 MBPS and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.
Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status
#LI-Remote
|
Director Of Data Science | Carerev |
CareRev, a 100% remote company, is bringing the future of work to Healthcare. We are developing a robust marketplace that connects trusted Healthcare professionals to relevant per diem shift opportunities. We are working to change the traditional relationship between Healthcare professionals and Healthcare facilities alike, aiming to build a future that ensures people who work in Healthcare have better tools and are empowered to be the healers they want to be.
What You’ll Do as a Director of Data Science is you will manage a team, provide guidance and feedback, and grow a data team to meet goals and exceed goals set by you. Working closely with data engineering, systems engineering, and product management to productize data science solutions built by you and the data science team.
What we're looking for
Curious and experimental mindset
Relentless drive to source and discover data sets that can help produce value
Down to earth and realistic about what makes sense for data science to solve vs classic programming methods
Ability to discover areas of opportunity where data science lends a big advantage
Deep understanding of statistics and classical ML methods such as neural nets, NLP, reinforcement learning, clustering, and classification
The tendency towards even-keeled decision making and guidance managing team members
Hands-on experience with one or more of Python, R, Julia, or similar
Solid SQL skills
Requirements
6+ years of hands-on machine learning experience building and deploying solutions
2+ years of managing other data scientists, analysts, and/or engineers
BS or MS in Science, Math, Economics or Engineering related field
Live in and eligible to work in the USA
A Few Reasons to Consider Us
Annual bonus program
Comprehensive medical, dental, vision, and life insurance benefits
Paid holidays & unlimited PTO
401k and matching program
100% remote
Home office equipment reimbursement
CareRev is building the #1 staffing platform for healthcare professionals. We partner with hospitals and medical centers across the US, and book thousands of specialized professionals through our app every month. We are putting transparency, fairness, and trust back on the table. We are excited to grow our team of 150+ employees distributed across the US in a remote environment! We deeply value changing the world for the better and work toward diversity across our teams while we scale our teams in breadth and volume. To date, CareRev has raised $50M in funding. In addition, CareRev has a fantastic group of investors, including Transformation Capital, top Healthcare VC firms, Y Combinator partners, and alumni.
CareRev is 100% remote. We have a small office in Los Angeles (Venice/Mar Vista) and Chicago open for use by employees.
CareRev is an equal opportunity employer and will not discriminate against any employee or applicant for employment in an unlawful manner. We celebrate diversity and are committed to creating an inclusive environment for all individuals. CareRev treats all employees and job applicants based on merit, qualifications, and competence without regard to any qualified individuals' sex, race, color, religion, national origin, ancestry, gender (including pregnancy, breastfeeding, or related medical condition), sexual orientation, gender identity, gender expression, age, physical or mental disability.
|
Data Scientist | Bold Penguin |
We didn’t create Bold Penguin because commercial insurance is broken. It isn’t. But as the world has gotten more connected and digitized, commercial insurance lags — creating a fragmented landscape where businesses, agents, and insurance companies struggle to interact in a smooth and easy way. That’s why we’ve built a highly efficient exchange that cuts the friction out of commercial insurance by connecting everyone to the right quote in record time.
Powering the world of insurance is no small feat, so we’ve built a team that's incredibly talented and passionate about our potential to upgrade the entire industry. As more and more companies, big and small, depend on our technology to operate in the commercial insurance space, we’ll need the best talent all around to support our growth. That’s why we’re looking at you (yes, you!) to make a bold move and join our adventure.
YOUR ROLE
Bold Penguin is seeking a Data Scientist who will be responsible for the end-to-end development of models using various modeling approaches ranging from statistical techniques, to machine learning and deep learning. This includes taking high-level business challenges, translating them into a concrete quantitative framework, and shepherding solutions from R&D into production.
WHAT YOU'LL DO
Own the entire Machine Learning (ML) development process from data collection, model development, and results presentation to production.
Design and implement ML algorithms and techniques using data analytics, text analytics, and Natural Language Processing (NLP).
Collect or extract data from different sources, processing, cleaning and validating for further use.
Periodically test and retrain ML/AI models to adapt the best model for problem statements.
Collaborate with the development team to put models into production and monitor for performance.
SKILLS AND QUALIFICATIONS
Proficiency in various NLP tasks including text extraction, entity extraction, refining existing NER models, and documenting understanding.
Strong programming skills with experience using modern packages in Python, and platforms including Amazon SageMaker, H2O, and others.
Knowledge of computer vision, object detection with deep learning preferred.
Must have a graduate degree in Mathematics, Science or Computer Science/Engineering.
Must have at least 3 years experience working as a data scientist in a fast-paced, highly iterative and highly collaborative team.
Bonus Qualifications:
Bonus points for Insurtech background or commercial insurance experience!
BENEFITS
We offer competitive compensation and progressive benefits that include:
Medical, Dental, and Vision
Disability and Life Benefits
401K with a company match
Employee Assistance Program
Parental Leave
Paid Time Off
Remote Culture. Here at Bold Penguin our remote employees are top of mind, and we have created an inclusive, engaging remote environment.
Choose-your-own gear. Whether you prefer Mac, PC, or Linux, one screen or three, we’ll set you up for success.
Stay connected to the Glacier. We slack. A lot. We also like to video conference regularly. We even have all- hands "Waddles" held Tuesday - Friday 12:00PM EST.
Penguin bling. Like swag themed after a certain antarctic bird? Just. You. Wait.
Bold Penguin believes in inclusion. That’s why we’re proud to be an equal opportunity employer that considers all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, beak size, or inability to fly.
To learn more about our results-focused culture and employee-focused perks, read more on our careers page.
|
Vice President Of Data Science | Missionwired |
At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.
We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we're excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.
We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.
We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.
Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.
Overview: We are looking for a Vice President of Data Science to join us in bringing machine learning to online fundraising through our AdvantageAI product. The models you create will improve the lives of people throughout the world by empowering digital donors and activists to support our mission-driven clients. You’ll be driving positive change by leading a team of data scientists and engineers developing first-of-their-kind machine-learning products.
You’ll join an engineering team that is deeply devoted to inclusion, particularly in the following three areas:
Process: We create a context in which everyone is empowered to contribute.
Machine Learning: We are committed to identifying and removing bias from our algorithms.
Philanthropy: We empower diverse groups of individuals to participate in giving.
With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go!
You will be responsible for:
Joining each and every one of your colleagues in creating an inclusive workspace;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Designing experiments to determine how to maximize client goals, such as philanthropic donation or email activation;
Developing and supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Collaborating with cross-functional teams to support their data infrastructure needs.
Must-have qualifications:
5+ years of professional experience in designing and implementing machine learning solutions to business problems;
Experience as a line manager of small or large teams of technologists;
A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches, an openness and critical eye to the latest techniques, and a willingness to lead collaborations to find optimal solutions;
High-level familiarity with big data tools using AWS or other cloud services;
Attention to detail;
Intellectual curiosity to innovate on ways to solve data management issues.
Nice-to-have qualifications:
Working knowledge of Pandas and, ideally, PySpark;
Experience deploying deep-learning models;
Experience managing data warehouses and/or data lakes;
Ability to build and optimize data pipelines, architectures, and data sets;
Experience working with cross-functional teams in a dynamic environment.
Salary floor for this role is $150,000+ per year, commensurate with experience.
If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!
|
Senior Data Scientist | Missionwired |
At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.
We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we're excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.
We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.
We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.
Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.
Overview: We are looking for a mid-level to senior Data Scientist to join us in bringing machine learning to online fundraising through our AdvantageAI product. The models you create will improve the lives of people throughout the world by empowering digital donors and activists to support our mission-driven clients. You’ll be driving positive change as part of a team of data scientists and engineers developing first-of-their-kind machine-learning products.
You’ll join an engineering team that is deeply devoted to inclusion, particularly in the following three areas:
Process: We create a context in which everyone is empowered to contribute.
Machine Learning: We are committed to identifying and removing bias from our algorithms.
Philanthropy: We empower diverse groups of individuals to participate in giving.
With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.
You will be responsible for:
Joining each and every one of your colleagues in creating an inclusive workspace;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Designing experiments to determine how to maximize client goals, such as philanthropic donation or email activation;
Developing and supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Collaborating with cross-functional teams to support their data infrastructure needs.
Must-have qualifications:
3-5 years of professional experience in designing and implementing machine learning solutions to business problems;
A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches, an openness and critical eye to the latest techniques, and a willingness to lead collaborations to find optimal solutions;
Experience with SQL to write nuanced analytic queries;
High-level familiarity with big data tools using AWS or other cloud services;
Attention to detail;
Intellectual curiosity to innovate on ways to solve data management issues.
Nice-to-have qualifications:
Working knowledge of Pandas and ideally PySpark;
Experience deploying deep learning models;
Experience managing data warehouses and/or data lakes;
Ability to build and optimize data pipelines, architectures, and data sets;
Experience working with cross-functional teams in a dynamic environment.
Salary range for this role is $85,000 to $135,000 per year, depending on experience.
If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!
|
Data Scientist | Hello Alice |
Work with a Purpose:At Hello Alice we are about equal access fueled by technology and powered by everyone who believes that diverse small business participation isn’t just the right thing to do, but the smart thing to do. That’s true of our small business owners, and it’s true of our team. If you agree, keep reading. Job Summary: As part of the Data Science team at Hello Alice, you will play an important role in driving our Data Science mission forward. We build tools and products using Data Science and Artificial Intelligence (AI) that empower small business owners. By using data, machine learning, and AI we augment human intelligence and cognition for optimal decision-making. We strive to evangelize on the importance of being a data-driven organization and use data to tell stories and uncover insights. You’ll report directly to the Director of Data Science. Role and Responsibilities: Here’s what you’ll be working on day-to-day, but as a nimble organization that puts our small business community at the forefront, flexibility is key, and other responsibilities may arise. Apply various data science methods to understanding the most important aspects of our product, users, and business Transform data into insights that can be utilized by people without a programming or data science background. Evangelizing evidence-based decision making by partnering with key decision makers (including senior-level and executive management) and driving democratized accessibility of data and insights Design and build data set processes for modeling, data mining, and production purposes Determine new ways to improve data quality and predictive capabilities Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis Provide research on topics including Hello Alice's business model and recommendation techniques Deliver reports and insights on data findings that are understandable to non-data scientists Required Skills and Experiences: Degree in a related field such as Mathematics, Statistics, Analytics or Computer Science 1-2 years of experience which can include relevant internship experience Basic knowledge of statistics to include linear and logistic regression, supervised machine learning and time series forecasting Knowledge of building statistical, machine learning, NLP, and AI models Prior experience with different models and projects with the ability to explain in detail Experience with tools and programming language to include Excel, PowerBI, Tableau, Mode Analytics or Shiny Cloud databases including Google Cloud platform, AWS, Microsoft Azure R or Python and SQL experience is required Ability to identify a business problem, define and create a solution and convert the solution into an insight feature Benefits & Perks Generous PTO days Competitive compensation, benefit, and equity package Work from home stipend Professional development Diverse, fun, and unique work environment About Hello Alice: Hello Alice is a free, multichannel platform that helps businesses launch and grow. With a community of nearly 500,000 business owners in all 50 states and across the globe, Hello Alice is building the largest network of owners in the country while tracking data and trends to increase the success rate for entrepreneurs. Our partners include enterprise business services, government agencies, and institutions looking to serve small- and medium-business owners to ensure increased revenues and promote scale. A Latina owned company, founded by Carolyn Rodz and Elizabeth Gore, we believe in business for all by providing access to all owners including women, people of color, veterans, and everyone with an entrepreneurial spirit. To learn more, visit helloalice.com, as well as Twitter, LinkedIn, Instagram, and Facebook. Hello Alice is a fully remote team, so all United States locations are considered. Hello Alice is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law. www.helloalice.com // Twitter // Facebook // Instagram // LinkedIn
|
Data Scientist Pricing Strategy Analytics | Loadsmart |
ARE YOU INTERESTED IN JOINING A HYPER-GROWTH LOGISTICS TECH COMPANY?
→ Do you see yourself deep diving into internal and external data, leading a multitude of analyses and projects that generate insights for the overall pricing strategy?
→ Are you capable of bridging theory to practice, simplifying complex concepts to a larger audience and communicating your analyses and models to stakeholders?
→ Do you want to work with many different teams to assist in identifying which multi-million dollar bets we should make to maximize yield and minimize risk?
If so, nice to meet you! We are Loadsmart and we have recently created a new Data Scientist in Pricing Strategy & Analytics role. We are a Series C-funded logistic technology company that has increased our revenue by 200% year over year, led by a leadership team of logistics veterans and experienced engineers, product leaders and data scientists continuing to disrupt this $800 billion industry.
We are seeking a data scientist /economist who thrives in a dynamic and fast-paced global company.
LOCATION: Remote from anywhere in Latin America
What you get to do:
Lead statistical & econometric analyses, leveraging both internal and external market data to create pricing strategies that optimize revenue, PnL, and manage brokerage risk in both spot and contracted freight markets in the US. This includes:
Identifying patterns and trends that help feed our pricing strategy
Understanding the dynamics of our machine learning pricing algorithms to create optimal strategies on top of existing algorithms
Leveraging macroeconomic and industry level data and analytics to identify actionable business opportunities and improve our lane-level and company-level strategy
Leverage technical expertise to design database structures, automate recurring tasks, and publish market research & insights internally (potentially externally down the road)
Optimize Loadsmart’s PnL by enhancing Loadsmart’s spot (day-to-day) and contracted (long-term) pricing
Collaborate with Sales, Account Management, Carrier Sales, Product, Engineering, Data Science, and existing Pricing Strategy teams to provide data-driven insights and to enhance knowledge and understanding of the truckload market
Create the foundation for building / growing a business-facing data science & analytics team.
You have experience:
5+ years of experience in a highly analytical data science, statistics, economics, finance or related roles
Proficient in verbal and written English – you will be communicating with native English speakers daily
Proficiency in R, Python or similar programming language, advanced Microsoft Excel skills and a basic working knowledge of SQL
Masters / PhD is a plus
Academic background and/or job experience in economics & finance is a plus
Proficiency in modelling time series data is a plus
Effective analytical and problem-solving capabilities
Able to excel alongside and within groups to maintain a collaborative work environment
Detail oriented and focused
Note: This role does not require knowledge of software engineering in activities such as : Implementing models into production, configuring APIs, maintaining tech infrastructure, data pipelines, etc.
Your colleagues describe you as:
Highly analytical - data driven, logical reasoning, strategic, also having an eye for the business bottom line
Detail orientated & organized - structured, can balance multiple projects/deadlines
Strong communicator - clear & specific
Agile and proactive - independent self-starter.
WORKING AT LOADSMART:
Prosperity
• Competitive base salaries - we believe in rewarding top talent
• Extremely competitive Equity package
• Signing bonus - because you will work remotely, you will use it as you like: to setup your home office, get a new laptop or buy that amazing coffee machine to make your days happier :)
• Training budget - we will support you on developing your skills.
Happiness
• Unlimited time off
• Wellbeing initiatives
• Lots of engagement activities;
• An opportunity to work with a diverse, global community of 450+ Loadies united by our core value of Teamwork
• Regular recognition, feedback, and transparency across all levels
• Opportunities for you to join our community service initiatives.
At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.
|
Senior Data Scientist Applied Research Personalization | Scribd |
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.5M subscribers in nearly every country worldwide.
The Applied Research - Personalization team’s goal is to comprehensively understand our users, create representations of their behavior and complex interactions with our content, and deliver user models that drive ML product features. This is accomplished as a team of aligned, talented and collaborative full-stack data scientists that run exploratory analyses, create data pipelines, and build models from prototype to production to solve some of the company’s highest profile initiatives.
You are excited by the opportunities and challenges of working on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, and podcasts and the interaction of that content with hundreds of millions of users. As a Senior Data Scientist, you are a technical leader that understands how your priorities impact the business. You stay up to date with advancements in technology and methods, and bring new ideas and ways of working to the team.
You will:
Deeply understand our data and define how user interactions create signals for ML models.
Take full advantage of our scale of data. For example, use Transformers and other state-of-the-art deep learning architectures to extract rich user embeddings.
Optimize personalization for new users by integrating other sources of data and innovating on models. For example, use Bayesian methods to smoothly combine priors about user segments with data-rich modeling approaches.
Design for scale, both in terms of number of users and content and in terms of multiple use cases across the product.
Increase the effectiveness of the team on a technical and problem-solving level through thoughtful collaboration with other Data Scientists, Machine Learning Engineers, and System Engineers.
You have:
4+ years of experience in data science or related field.
Bachelor's degree in a quantitative discipline. Master’s or Doctorate degree preferred.
Intermediate level or greater experience with Python, SQL, and Spark.
Previous professional experience with developing personalization features, recommendation systems, or other related ML experience.
Experience with TensorFlow and embedding-based deep learning architectures is a plus.
Benefits, Perks, and Wellbeing at Scribd
• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans and milestone Sabbaticals
• 401k plan through Fidelity, plus company matching with no vesting period
• Stock Options - every employee is an owner in Scribd!
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family
Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
|
Senior Data Scientist | Heap |
Heap is built on a unique dataset of product activity, including hundreds of billions of events across thousands of websites. We’ve automated the process of capturing user behavior, and we’re developing a new category of features to proactively help clients understand and take action on this dataset.
In this role, you’ll research, develop, and productize advanced features for Heap’s product analytics platform. These features will guide PMs’ attention towards “unknown unknowns” in their user behavior, suggest the right questions to ask, and otherwise make it easier to learn something important about their users.
You’ll iterate quickly on challenging and interesting technical problems. How can we automatically identify confusing or frustrating aspects of a customer’s product? What kinds of phenomena are important for a PM to know about, and how can we use an autocaptured dataset to find them? How can we quantify the “interestingness” of a potential result? How can we help PMs avoid overfitting, and protect them from being fooled by confounding factors?
This work is central to Heap’s strategy and to continued success as the leading product analytics platform.
In this role, you’ll:
Be central to our strategy. The core of our product strategy is to produce differentiated insights based on our unique autocapture dataset. You’ll work directly on this problem, creating new features to analyze the Heap dataset and, especially, generate unknown unknowns for our customers.
Turn your expertise into product features. You have experience analyzing data to drive product decisions and company strategy. At Heap, you’ll turn that experience into products so you can deliver that expertise to thousands of PMs.
Impact thousands of products. Heap is a leading player in the product analytics industry, and if your work is successful it will change how thousands of companies understand their users and develop their own products.
Work on a senior and fast moving team. You’ll report to David Robinson, Principal Data Scientist. You’ll work closely with Vijay Umapathy, Director of Product Management, Will Guldin, Senior Product Designer, and our Analysis team led by Asher Eastham.
What you will be doing:
Designing new product features that make proactive suggestions based on behavioral data.
Working with PMs, designers, and engineers to build a product that will reliably lead users to correct insights about their own users.
Analyzing usage of our existing data science features in order to generate improvements.
What we’re looking for:
3+ years of professional experience as a data scientist
Background in statistics. You’re familiar with the risks of overfitting, confounding factors, and multiple hypothesis testing, and you’re well-versed in statistical methods for handling them.
Practicality: you care about finding effective and robust approaches that can be scaled into products, not about using the newest and shiniest technologies.
Experience in the R toolchain. You’re fluent in transforming, modeling, and visualizing data to solve business problems.
Expertise creating and maintaining R libraries is optional but preferred.
Strong communication skills: able to collaborate with semi-technical stakeholders.
You prefer rapid iteration, and you have a preference for proving out ideas quickly.
An advanced degree (PhD or MS) in a quantitative field is optional but preferred.
People are what make Heap awesome. Regardless of age, education, ethnicity, gender, sexual orientation, or any personal characteristics, we want everyone to feel welcome. We are committed to building a diverse and inclusive equal opportunity workplace everyone can call home.
Heap has raised $95M in funding from NEA, Y Combinator, Menlo Ventures, SVAngel, Sam Altman, Garry Tan, Alexis Ohanian, Harj Taggar, Ram Shriram, and others. We offer plenty of awesome benefits, and we were named #1 on Glassdoor’s Best Places to Work (SMB). We'd love to hear from you!
|
Senior Data Scientist Advertising | Spotify |
We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify.
We are looking for a Data Scientist to join Spotify’s Advertising Business Unit. The Advertising Business Unit is responsible for the success of Spotify’s freemium business model that allows us to deliver an amazing free experience to more than 200 million users worldwide.
Our team uses machine learning to drive both advertiser outcomes and listener satisfaction in Spotify Free, helping democratize music access globally while positively impacting Spotify’s bottom line. We develop innovative solutions around the core problem of getting the right ad or message to the right user at the right time, while embodying Spotify’s values and keeping our users’ best interests at heart.
What You'll Do
Work closely with cross-functional teams of ML engineers, user researchers, product owners and designers who are passionate about Spotify’s success
Perform analyses on large sets of data to extract meaningful insights that will help drive ML driven product decisions
Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation
Communicate data-driven insights and recommendations to key team members
Build lasting solutions to surface critical data and performance metrics
Help us develop our knowledge and practice around the development and evaluation ML driven products
Develop individually to continue to grow your impact, and help mentor peers
Who You Are
You have Ph.D.-level expertise in a related computational field, in particular addressing probability and uncertainty as they relate to data.
You have familiarity with applying machine learning to solve product needs, and can reason about choice of algorithms, minimal viable products and iteration.
You are capable of tackling very loosely defined problems.
You have the technical competence to perform more sophisticated analysis:
Coding skills for analytics and data extraction (SQL, R, Python, Pandas)
Data visualization (such as Tableau, D3, ggplot, Looker)
Experience performing analysis with large datasets
Solid understanding of statistics and machine learning
You are a communicative person that values building positive relationships with co-workers and stakeholders and have the ability to explain complex topics in simple terms.
Where You'll Be
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Working hours? We operate within the Eastern Standard time zone for collaboration
#remote
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.
|
Data Scientist | Yelp 990B0D32 3De8 42A8 82B4 C3Be539Ea035 |
At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.
The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. Our teams sit in Yelp’s central product management organization and work directly with cross-functional leaders to understand quantitatively how our products are performing and where the largest opportunities are. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.
Where You Come In:
Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products
Design, execute, and analyze complex business and user experiments
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience
Proactively research and build ETL pipelines for product and marketplace metrics
Communicate key insights from analyses, experiments and data products to stakeholders
What It Takes to Succeed:
MS/PhD in quantitative field and 3+ years of industry experience in a senior quantitative role
Ability to apply statistical, analytical and technical expertise to product and business problems
Prior experience structuring and leading impactful data science projects independently
Oral and written communication skills to mentor colleagues, and work effectively with partners on engineering, product and business teams
Expertise in SQL, and R or Python for data analysis and platform development
Enthusiasm for building a culture of learning and development
It's Nice To Have:
Product analytics experience with small business or consumer technology products
Prior industry experience building online experimentation and machine learning platforms
#LI-Remote
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco).
CCPA Privacy Notice
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] or 415-969-8488.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
|
Director Of Applied Data Science Media Insights | Civis Analytics |
What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we're looking for
Civis Analytics is seeking a Director of Applied Data Science (ADS) to lead the Media & Insights (M&I) ADS Team, responsible for setting and executing the vision for the M&I ADS team to drive departmental growth, build knowledge of data science applications within Media, improve employee satisfaction, and broaden Civis’ success with our clients that leverage Civis’ media offerings.
The Applied Data Science Team is the advisory arm of Civis Analytics, working closely with some of the largest publishers, advertisers, and agencies, as well as governments, nonprofits, and campaigns to help solve their toughest challenges with data science. They are critical components of the project team and are expected to take leadership in understanding how to design and implement data science solutions for each client’s unique situation.
Responsibilities
Vision and Direction.
Develop and execute a vision for the M&I ADS team in partnership with the VP, Media & Insights
Collaborate closely with cross functional leaders to address evolving business needs and create solutions for internal Civis teams as well as our clients
Do good work.
Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission.
Partner closely with Engineering and Product leaders to oversee the development and delivery of industry leading media measurement tools
Support the team.
Manage a team of data scientists and analysts
Be a mentor and coach to the members of the M&I ADS team, building a culture where team members feel valued, supported and challenged with clear paths for growth.
Grow the business.
Grow Civis' business by delivering excellent work, identifying new strategic growth opportunities for the company, and leveraging expertise and credibility applying data science to media use cases
Support Business Development by leading conversations to understand prospect clients’ needs, translating those needs into Civis’ solutions, and illustrating those solutions with clear support such as case studies and client success stories.
Grow our brand.
Serve as a brand ambassador within the Media space through Civis presence at relevant conferences, panels and other networking events or authoring thought leadership pieces
Travel requirements <15%
Minimum Qualifications
Bachelor’s degree
A strong foundation in statistics and data analytics to solve real-world business challenges
Experience writing proposals and presenting in front of senior business leaders
Experience managing teams to complete projects within scope and on time
Excellent interpersonal and communication skills; ability to engage with both business and technical collaborators
Demonstrated history of delivering high-quality analytic work to decision makers
Experience advising or working within a data science or analytics function within an advertising agency or publisher, or in support of marketing initiatives for a brand
Preferred Qualifications
Proficiency in SQL and/or statistical packages (R, Python, STATA, etc)
Advanced degree in an analytical subject (statistics, math, economics, physics, business, etc.).
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.
Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected].
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
|
Data Science Manager | Civis Analytics |
What we do
At Civis, we take a science-first approach to solving problems. With a blend of proprietary technology and statistical advisory services, we help public and private sector organizations find, understand and connect with the people they care about, so they can stop guessing and start using mathematical proof to guide decisions. We know others use “data science” and “analytics” as buzzwords, but at Civis we don’t stand for fluff, and we will always deliver scalable products and technologies — not PowerPoints — to drive your business forward. Learn more about Civis at www.civisanalytics.com.
Our mission
Our mission is to bring objective, data-driven truth to organizational decision-making – all the way from the boardroom to the world’s largest social causes.
Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we are looking for/Responsibilities
We are looking for a Data Science Manager to lead 6 - 10 data scientists across multiple teams. Data Science Managers are responsible for building an engaging team environment, recruiting talent to the team, and developing staff to their highest potential.
At Civis we build software products for teams of Data Professionals. Civis Platform, our flagship product, makes cutting-edge data science and data warehousing techniques available to a broad audience. We are looking to hire experienced data scientists and engineers to scale our team to achieve our ambitious goals. Civis Data Science Managers exhibit sound judgment, ownership, and autonomy. At Civis, you will be responsible for fostering an inclusive, supportive, and high performance environment for your direct reports.
Required Qualifications
5+ years of experience as a data scientist or similar role, including experience taking a leading role in significant technical projects
2+ years leading teams of data scientists or others in similar roles
Demonstrated experience building team culture and data science processes, especially on high growth teams
Exemplification of an eagerness to constantly learn and teach others
Experience using Python or R to analyze data
US work authorization
Preferred Qualifications
Significant experience with any of the following:
Machine Learning libraries (e.g., scikit-learn, TensorFlow)
Probabilistic programming libraries (e.g., Stan/RStan, Tensorflow Probability)
Statistical methods for survey inference or observational causal inference
Statistical modeling of person-level data
Experience working with political data or government data (e.g., Census Bureau data)
Experience building software for internal or external users
Why join our team?
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal and inclusive workplace.
Competitive benefits, including unlimited PTO, 401K match with immediate vesting, health, dental, and vision benefits, fully paid parental leave, breastfeeding support including breastmilk shipping services for traveling moms, commuter benefits, wellness initiatives including weekly group meditations, monthly on-site massage therapy, and pet insurance.
To support employees in our now fully remote work environment, we also have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (5-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-up where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from home schedules to help employees juggle responsibilities at home.
Civis Analytics embraces the individuality of our employees and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or Veteran status. If you have a disability or special need that requires accommodation, please contact [email protected]
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
|
Data Scientist | Ten Spot |
Ten Spot is hiring a Data ScientistTen Spot is a fully remote organization and has been since before COVID made it trendy. While we have groups of employees in Chicago and New York, our team works from cities and states across the USA. Though many companies offer fully remote working environments, no one is as good as Ten Spot at building strong team culture in a remote working environment: it’s what we do. What we doTen Spot is the workforce engagement platform enjoyed by companies and communities nationwide. Our popular, all-in-one virtual platform helps forward-thinking companies increase their productivity, boost retention, and build a strong culture. How do we do this? We provide companies with a scalable tool to bring teams together no matter where they are physically located. From fitness classes and experiential workshops to team challenges and Slack icebreakers, Ten Spot offers a fun experience for any situation alongside powerful analytics to measure engagement and behaviors. Ten Spot allows companies to harness real insights to improve culture, identify leaders, and create a space that welcomes everyone, all while having a great time!Why Ten SpotThe Ten Spot product is evolving at lightning speed, and our employees have the opportunity to make an extraordinary impact. We are growing fast and achieving new milestones every day. And the problem we're solving couldn't be more relevant!We are looking to add a data scientist to our growing product and engineering team. Ten Spot's product creates a wide variety of data, from basic product usage and analytics to sentiment surveys, video viewing data, chat logs and more. We intend to leverage these data assets to build a best-in-class suite of tools to help managers do their jobs better. This is our first hire in a data science role, and we need a self starter who can help us build the right environment to house and analyze our data, and build a true data science function that complements our existing product/engineering/UX team.The right candidate will have experience working in a startup, and is comfortable with ambiguity and change. Ideally you've also worked on a product team before and understand how to communicate with developers and product managers, and have a track record of using data science to optimize product and process through A/B tests, experiments, simulations, etc. Positive, self-starter attitude is essential, as is comfort with full remote work.Requirements: Strong problem solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Our full-time employees receive a competitive compensation and benefits package, including stock options, health, dental, vision, and life insurance, and 401K. Work from wherever you want, and know you’ll build camaraderie with the team because we use our own product and care about our culture and our people.
|
Data Science Manager | Discord |
You Will:
Partner closely with product, engineering, and business teams to understand feature adoption, proactively identify opportunities for improvement, and build robust scalable tools to empower decision-making at all levels of the company
Create novel and interpretable metrics to provide insight into the health of the Discord app and use analytics, modeling, and experimentation to understand their impact on business goals
Transform data into information - establish hypotheses, dig deep, and seek to understand root causes - to improve the effectiveness of our marketing efforts
Own the vision and roadmap for the Safety Data Science team, supporting a key pillar of Discord's mission
Build and mentor a world-class analytics team, expanding the impact of data at Discord
In partnership with our Data leaders, inform architectural decisions, establish best practices, develop lean scalable processes, and contribute to the overall direction of the Data organization at Discord!
You Have (not hard qualifications - if you're not sure, please apply!):
3+ years of leadership experience as a people manager, leading a team of 3+ data scientists. Ideally, your team would have had technical expertise covering at least two of the following: BI & analytics, machine learning, and A/B experimentation
Excellent skills in communicating to both technical and non-technical audiences, with an ability to explain complex concepts in easy-to-understand ways
6+ years of industry experience in applying machine learning and/or analytics techniques to answer vague and challenging business problems
Proficient in Python/R or SQL (any dialect) for hands-on modeling and/or analysis
Familiarity with A/B testing principles
A collaborative attitude and natural curiosity
Bonus Points:
Experience with social media and/or safety aspects within digital consumer products
Proficient in modern BI tooling (Chartio, Looker, Tableau, etc.), with an eye towards clear, rich visualizations and performance
Experience with very large data sets and distributed computing
Familiarity with Airflow, GCP, BigQuery
Experience partnering with business teams in a data-driven culture
Passion for Discord or online communities
Our Benefits:
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now
|
Senior Data Scientist Analytics Revenue | Discord |
What you'll be doing
Partner with teams throughout Discord through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You'll Thrive In This Role If (not hard qualifications - if you're not sure, please apply!)
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
3+ years experience writing excellent SQL
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Passion for Discord or online communities
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc
Experience writing performant code in BigQuery SQL
Benefits and Perks
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now
|
Senior Data Scientist Analytics Growth | Discord |
What you'll be doing
Partner with teams throughout Discord through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You'll Thrive In This Role If (not hard qualifications - if you're not sure, please apply!)
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
3+ years experience writing excellent SQL
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Passion for Discord or online communities
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc
Experience writing performant code in BigQuery SQL
Benefits and Perks
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now
|
Principal Data Scientist | Twilio |
The Who, What, Why and Where
Twilio is looking for a Principal Machine Learning Engineer who wants to design, build, and deploy machine learning systems into the real world and help Twilio power its growth initiatives. You are eager to learn and inspire, and you like to think at scale and work on real world products and problems. You bring a focus on efficient experimentation, team collaboration, large-scale systems design, and good first-principles engineering. You deal with ambiguity effectively and are able to bring clarity in requirements and technical solutions. You are a technical lead for other MLEs on the team and partner effectively with product managers and other cross function groups. This is a good opportunity to influence and contribute to early stage product development and harness the power of machine learning for highly visible initiatives.
Who?
Ideal candidates would have the following:
A Masters or PhD in Computer Science, Mathematics or Statistics.
Strong background in the foundations of machine learning - depth in Regression, Classification, KNN, RFM, DNN, SVM and Naive Bayes.
7+ years of hands-on experience with one of Python, C/C++ or Java/Scala
Strong fundamentals in Systems Design and Computer Science
Exposure to Big Data technologies(spark/hadoop) and Microservices Architecture
Exposure to different ML frameworks and services like Sagemaker, Clarify, Model Monitoring, TensorFlow, MxNet, PyTorch, Skitlearn etc.
Track record of building, shipping and maintaining machine learning models in a highly ambiguous and fast paced environment.
Track record of defining new data science techniques and best practices that improve the ML model performance
Track record of designing and architecting large scale experiments and analysis which impact multiple teams and adjacent focus areas
What?
As a Machine Learning Engineer, you will live the Twilio Magic values:
RUTHLESSLY PRIORITIZE: Work with other engineering teams and with members of the product organisation to distill internal and customer needs into requirements and tech specs.
DRAW THE OWL: Build new features without having all of the answers.
BE AN OWNER: Architect new systems with a focus on scalability, testability, and maintainability.
WEAR THE CUSTOMER’S SHOES: Help resolve technical issues and blockers for internal and external customers.
DON’T SETTLE: Drive high engineering standards on the team through code review, automated testing, and mentoring. We care what our code looks like, and you should too.
EMPOWER OTHERS: Collaborate with colleagues on a small, energetic team.
Why?
The Growth Automation pillar is building a new platform to provide a one-stop shop for marketers to build delightful, personalized customer experiences across any channel based on a single view of the customer. Orchestrate a customer journey and send emails, SMS, push notifications, voice, video, whatsapp, onsite personalization - any channel that the customer prefers most with a relevant message they actually want to see. Our team’s goal is to help Twilio-Segment customers understand, aid, and delight their customers across every first party touchpoint and interaction.
Growth Automation is being built on top of the most sophisticated first party customer data platform in the world. Imagine a platform that can take the hundreds of thousands of messages entering Segment’s pipelines every second, add in a new identity graph, and overlay multiple high speed, realtime and batch databases — and you have the Personas platform. We’ve since built several successful products on top of the Personas platform: Segment Audiences for real time audience management, Segment Traits for computation, and Profile API for real time personalization. We are now personalizing customer engagement by transforming raw customer data across all channels into actionable, individualized customer predictions that you can leverage in any workflow or process.
Where?
This position will be located remotely in North America. Twilio offers benefits and perks to support the physical, financial, and emotional well being of you and your loved ones. No matter where you are based, you will experience a company that believes in small teams for maximum impact; seeks well-rounded talent to ensure a full perspective on our customers’ experience, understands that this is a marathon, not a sprint; that continuously and purposefully builds an inclusive culture that empowers everyone to do their best work and be the best version of themselves.
About Us
Millions of developers around the world have used Twilio to unlock the magic of communications to improve any human experience. Twilio has democratized communications channels like voice, text, chat, video and email by virtualizing the world’s communications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications. By making communications a part of every software developer’s toolkit, Twilio is enabling innovators across every industry — from emerging leaders to the world’s largest organizations — to reinvent how companies engage with their customers.
In accordance with applicable law, the following represents Twilio's reasonable estimate of the range of possible compensation for this role if hired in Colorado. Please note that this information is provided for those hired in Colorado only, and this role is open to candidates outside of Colorado as well.
Salary:
Denver/Boulder Metro:
$146.240 - $201,080
Rest of Colorado:
$127.960 - $175,945
Non Sales: Additionally, this role is eligible to participate in Twilio's equity plan.
An overview of Twilio’s benefits offered is listed below:
Twilio is committed to delivering a comprehensive benefits program that provides support needed for you and your loved ones. It’s likely that you don’t think about benefits every day; however, they are an important component of your total compensation, and we want you to understand the options available to you so that you can make the most of your benefit dollars. At the time of this posting, this role is eligible to participate in the following benefits, which Twilio reserves the right to modify at any time for any reason in accordance with applicable law:
Healthcare Insurance and Leave
Prescription Drug
Dental
Vision
Flexible Spending and Health Savings Accounts
Leave programs for all of life’s moments: maternity, parental/bonding, as well medical leave to care for yourself or a loved one
Financial Benefits
Short and Long Term Disability Insurance
Life and Accidental Death & Dismemberment Insurance
401(k) Retirement Savings Plan with a match
Reimbursement Programs & Stipends
$65 per month work-from-home stipend
Up to $50 per month for wellness expenses and activities
Up to $30 per month to use towards books/eBooks
#LI-Remote
|
Sr Data Scientist | United Health Group |
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
The Payment Integrity data Science team within Optum Insight (OI) Payer Analytics is expanding. We are looking for experienced Data Scientists to join this growing team. This individual will be responsible on the development and delivery of large and complex predictive modeling projects for healthcare Payment Integrity processes. Senior Data Scientist develops innovative and effective approaches to solve client's analytics problems and communicates results and methodologies. Sr. Data Scientist also provides directions and guidelines to Data Scientists to discover business insights, identifies opportunities, and provides solutions and recommendations to solve business problems through the use of statistical, algorithmic, data mining, and visualization techniques. In addition to advanced analytic skills, Sr. Data Scientist is also proficient at integrating and preparing large, varied datasets, architecting specialized database, and computing environments, and communicating results.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple predictive detection engines in Optum Insight payer analytics Lead discovery processes with Data Scientists and partner with Payment Integrity Operation management to identify the business requirements and the expected outcome Create and provide sound statistical analyses and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions Collaborates with the data steward to gather information to be used for analytics and predictive model building purpose and to ensure the data meets the qualification and assurance requirements of the analyses Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, etc., identify appropriate analytic and statistical methodology, develop predictive models and document process and results Communicate analytics results and predictive models to business partners and clients Provide on-going tracking and monitoring of performance of statistical models and recommend ongoing improvements to methods and algorithms that lead to findings, including new information Recommends ongoing improvements to methods and algorithms that lead to findings, including new information
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
Bachelor’s degree (ideally in Computer Science, Applied Mathematics, Statistics, or similar field) 5+ years of experience using data modeling skills 5+ years of experience manipulating large datasets 3+ years of experience in predictive analytics with machine learning/statistical modeling techniques 2+ years of experience programming in R or Python 3+ years of experience in scripting languages (such as Python, SAS, T-SQL, etc.) 2+ years of experience with ETL and enterprise data warehouse technical development Experience working with analytical concepts and how analytical solutions can help customers Proven solid understanding of execution plans, identifying redundant and faulty processes for optimization opportunities, performing load balancing, parallel processing, partitioning and indexes
Preferred Qualifications:
Master’s or PhD degree Experience with healthcare claims data Experience helping customers in reducing their healthcare claim costs Experience with Databricks, Spark, Snowflake, and/or similar tools Experience with Version Control (for example Git Version Control system) Experience in UI design for automated or end-user-interactive visualizations (Ex: Tableau) Experience with Agile/Scrum Understanding of medical coding, such as ICD, CPT, or DRG
Careers with Optum. Our objective is to make health care simpler and more effective for everyone. With our hands at work across all aspects of health, you can play a role in creating a healthier world, one insight, one connection and one person at a time. We bring together some of the greatest minds and ideas to take health care to its fullest potential, promoting health equity and accessibility. Work with diverse, engaged and high-performing teams to help solve important challenges.
California, Colorado, Connecticut, Nevada, New York, Rhode Island, or Washington Residents Only: The salary range for California, Colorado, Connecticut, Nevada, New York, Rhode Island or Washington residents is $85,000 to $167,300. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
|
Junior Data Scientist | Global Fishing Watch |
The Position
This position is an exciting opportunity to join the Research and Innovation team at Global Fishing Watch as a junior data scientist. The Research and Innovation team at Global Fishing Watch connects data science and machine learning experts with leaders in the scientific community to produce new datasets, publish impactful research and empower others to use our data.
The junior data scientist will primarily work on the forced labor research project. The junior data scientist will play an essential role in the forced labor project by using online resources to investigate cases of forced labor; helping with data collection and quality analysis; and analyzing vessel information to help validate our models and better understand the behaviors, patterns, and relationships between vessels related to suspicious activity. As they become more familiar with the model and the workflow of our research, they will be able to help improve the model pipelines and its structure. They will also have the opportunity to collaborate on scientific papers related to this and other research projects.
The successful candidate will have an interest in human rights issues and well-developed analytical, coding, and web-searching skills. The position requires an ability to critically engage with complex and sensitive datasets, as well as willingness, interest, and enthusiasm to work within a truly multidisciplinary team in a fast-paced work environment. The incumbent will build diverse technical skills in programming and big data, and gain a variety of experiences working for a globally diverse, fully distributed, and growing organization. Initially, this is a one-year project period with the possibility of extension depending on funding.
Principal Duties and Responsibilities
Data collection
Expand the dataset of reported cases of forced labor using media reports, government reports, and other sources of information in multiple languages.
Examine the reported cases that are collected and perform a quality assessment.
Collect complementary information on each reported case and other vessels to understand the connections between vessels existing in forced labor settings and to feed our models.
Data analysis and modeling
Review positive and negative cases predicted by the model and assess if model predictions are consistent with the vessel’s history of human rights practices and IUU fishing.
Produce visualizations such as summary graphs and maps, and assist with the generation of tables for internal and external use (e.g. reports for the industry, scientific papers)
Help write R and SQL code to improve the forced labor model pipeline and the model itself.
Publications
Contribute to writing blog posts on the forced labor project for the website.
Contribute to scientific paper writing (if desired)
Candidate description
Required
Bachelor's degree or at least 2 years of work experience in fields related to data analytics, data journalism, or quantitative social sciences
Systematic web-searching skills: ability to design a thorough investigation plan and conduct desk research on a given topic
A deep curiosity and dedication to critical thinking
A commitment to analyzing complicated datasets to meet deliverables and a talent for developing novel ways of extracting meaning from diverse data sources
Great written and verbal communication skills in English
Demonstrated ability to work with a high degree of independence and autonomy while effectively communicating updates in a transparent and proactive manner
Demonstrated coding and data analysis skills with R (or Python but basic familiarity with R and commitment to improving R skills on the job)
Readiness to embrace Slack, Google Suite, and other collaborative tools for remote work
Strongly preferred
Familiarity with human rights issues and data ethics
Experience using SQL skills
Experience with version control tools such as git and GitHub
Good written communication skills in Indonesian, Chinese, Spanish, or French
Also a plus
Experience in investigative journalism
Familiarity with fisheries
Familiarity with machine learning algorithms and statistics
Master's degree in a relevant area or equivalent experience
An understanding of the complexities and collaboration required to work effectively for a globally remote organization; and ability to thrive in a diverse, distributed and dynamic team.
The successful candidate will meet most, but not necessarily all, of the required criteria above. If you don’t think you check all the boxes, but you are highly motivated and believe you have unique skills that make you a great fit for the role, we want to hear from you!
Additional Information
Reporting to: Forced labor lead data scientist
Location: Remote
Staff: Research and Innovation
Hiring process: If selected for consideration, the hiring process for this position will include a formal 30-45 minute interview with 2-3 staff. This will be followed by an administrative call, when compensation information will be provided. Candidates advancing beyond this round may be asked to participate in another interview, take a technical assessment and/or submit a representative code sample. Lastly, an informal 30-45 minute call with 3-4 members of the team will be held with finalists, to present Global Fishing Watch’s culture and answer any remaining question.
Compensation: Compensation is commensurate with experience and will vary depending on the hired candidate’s country of residence, in accordance with local laws and regulations. While we are unable to provide a compensation range here, we will be happy to discuss a range when we know the desired location of our active candidates. GFW offers pension/retirement, health and other benefits commensurate with similar level GFW employees in the country of employment. The position may be a GFW employee or consultant, depending on the country of residence.
Working Hours: Full time position for one year with the possibility of an extension. Global Fishing Watch supports flexible working, so the pattern of hours may vary according to operational and personal needs. The position will be part of a global team spanning many different time zones and so the candidate must be able to accommodate regular early/late meetings to be able to work effectively. Weekend work may be required on occasion. The post holder may be required to undertake regional and international travel. No overtime is payable.
Equal opportunities: Global Fishing Watch is an equal opportunities employer. We believe that our mission is best advanced when welcoming the contributions of people of diverse backgrounds, beliefs, and cultures and are committed to providing an inclusive and welcoming environment for all employees of Global Fishing Watch and our partners, vendors, suppliers, and contractors. We welcome the application of all qualified professionals and especially encourage those that have been historically marginalized or underrepresented because of their actual or perceived race, color, religion, sex, sexual orientation, gender, national origin, age, disability, or any other characteristic protected by applicable law.
Please apply by Monday, 22 May 2023
|
Mid Level Data Scientist | Jack Henry |
Description & Requirements
Press space or enter keys to toggle section visibility
At Jack Henry, we deliver technology solutions that are digitally transforming and empowering community banks and credit unions to provide enhanced and streamlined user experiences to their customers and members. Our best-in-class products are just the start as we lay the groundwork for the future of digital banking and payments. We hope you’ll join us. We can’t do it without you.
Would you like to be part of the smarter payments vision that delivers fast, safe, and best in class experience to banking users using AI? The successful candidate will apply data science techniques from machine learning to a combination of third party and Jack Henry proprietary datasets to launch/enhance AI products that help our financial institutions deliver faster, safer payment experiences and build digital engagement.
This position can be worked out of the Louisville, KY office or remote from anywhere within the US.
The target salary range for this position is $125,000 – $130,000, based on location and experience.
What you’ll be responsible for:
Translate business requirements into data science problems for a variety of use cases including real-time fraud detection and financial wellnessFeature engineer and pre-process raw data to optimize model performanceImplement end-to-end ML pipeline and model training to deliver AI use cases using machine learningDrive model selection by comparing a variety of statistical and machine learning algorithmsCollaborate with cross-functional teams to leverage data lake in assembling and synthesizing training datasets from a wide variety of data sourcesPrototype, refine, develop, deploy and scale ML models for Jack Henry AI productsEnhancing client experience of our products through usage data analysis, ad hoc analytics and metricsMay perform other job duties as assigned
What you’ll need to have:
• Bachelor’s degree in Computer Science, Economics, Applied Math or related analytical field with course work/certifications in Data science. AWS certifications highly preferred.
• A minimum of 6 years of hands-on work experience as data scientist with machine learning focused skillset.
• Business acumen and experience with creating solutions to address the business problem, planning, and execution
• Keen interest in understanding payments business domains and their data
• Prior end to end experience delivering a client facing ML based AI product/business solution from data extraction and feature engineering to model training and deployment
• Experience in practical data processing working with large scale datasets, data mining/transformation, and information retrieval tasks
• Experience with modern programming languages (Python, R, Javascript) and open-source technologies
• Experience with Machine Learning APIs and computational packages (e.g., - Scikit-Learn, SciPy, Pandas, Matplotlib, stats models)
• Experience with business analytics, creating ad hoc analyses to inform client usage and user adoption of products
• Must be a collaborator and team player. This role interfaces with various cross-functional stakeholders in Data Services, DevOps, Development, client facing and leadership teams.
What would be nice for you to have:
• Prior experience with AWS AI/ML stack - Sagemaker, Feature Store, Kinesis, and Lambda highly preferred
• Experience implementing fraud detection solutions
• Experience with Agile methodologies
• Prior experience in Payments/Banking/Fintech
• Excellent communication and presentation skills
If you got this far, we hope you're feeling excited about this opportunity. Even if you don't feel you meet every single requirement on this posting, we still encourage you to apply. We're eager to meet motivated people who align with Jack Henry’s mission and can contribute to our company in a variety of ways.
Why Jack Henry?
At Jack Henry, we pride ourselves through our motto of, "Do the right thing, do whatever it takes, and have fun." We recognize the value of our associates and believe much of our company’s strength and success depends on their well-being. We demonstrate our commitment by offering outstanding benefit programs to ensure the physical, mental & financial wellbeing of our people is always met.
Culture of Commitment
Ask our associates why they love Jack Henry, and many will tell you it is because our culture is exceptional. We do great things together. Rising to meet challenges and seeking opportunities is part of who we are as an organization. Our culture has helped us stay strong through challenging times and we credit our dedicated associates for our success. Visit our Corporate Responsibility site to learn more about our culture and commitment to our people, customers, community, environment, and shareholders.
Equal Employment Opportunity
At Jack Henry, we know we are better together. We value, respect, and protect the uniqueness each of us brings. Innovation flourishes by including all voices and makes our business—and our society—stronger. Jack Henry is an equal opportunity employer and we are committed to providing equal opportunity in all of our employment practices, including selection, hiring, performance management, promotion, transfer, compensation, benefits, education, training, social, and recreational activities to all persons regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, genetic information, pregnancy, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, and military and veteran status, or any other protected status protected by local, state or federal law.
No one will be subject to, and Jack Henry prohibits, any form of discipline, reprisal, intimidation, or retaliation for good faith reports or complaints of incidents of discrimination of any kind, pursuing any discrimination claim, or cooperating in related investigations.
Requests for full corporate job description may be requested through the interview process at any time.
|
Staff Data Scientist Revenue Cycle | Invitae |
By joining Invitae, you’ll work alongside some of the world’s experts in genetics and healthcare at the forefront of genetic medicine. We’ve crafted a culture that empowers our teams and our teammates to have the biggest impact and to explore their interests and capabilities. We prize freedom with accountability and offer significant flexibility, along with excellent benefits and competitive compensation in a fast-growing organization!
Invitae is seeking a Staff Data Scientist to join the team and lead efforts to improve the company's reimbursement performance. Reporting to the VP of FP&A and Business Analytics, the Staff Data Scientist will work closely with leaders in the billing and reimbursement, technology, finance, commercial, and customer experience teams. Over time, this position may expand in scope to include other areas of high strategic importance to the company.
Responsibilities:
Develop a structured understanding of opportunities to improve the company's revenue cycle performance from insurance companies through analysis of claims and other data.
Evaluate the impact of initiatives under consideration and monitor performance after implementation.
Support analysis with statistical or machine learning models as needed to further our understanding of root causes.
Design and develop dashboards, models, and presentations to communicate insights and recommendations to leadership.
Think strategically about the company's broader business objectives; put proposed initiatives and set analytic priorities in that context.
Requirements:
Bachelor's or Master's degree in a related field such as Data Science, Business Analytics, Statistics, Biostatistics, Computer Science, or a relevant quantitative field preferred.
8+ years of relevant experience in data analysis, preferably in the healthcare industry. Experience with healthcare claims data preferred.
Typically requires a minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience. Any equivalent combination of training, education, and experience that provides the required skills, knowledge and abilities.
Familiarity with healthcare reimbursement policies and procedures a plus.
Strong proficiency in SQL and Excel. Proficiency in Python for data analysis, model development, and visualization.
Experience with statistical and/or machine learning model development.
Demonstrated ability to work independently, prioritize effectively, and think strategically in a fast-paced environment.
Excellent communication skills, with the ability to communicate complex ideas to leaders at the VP level and above.
Highly analytical thinker with excellent problem-solving skills.
Remote in US
#LI-Remote
|
Data Scientist Customer Experience | Invitae |
Invitae envisions a world in which genomic sequencing routinely informs lifelong healthcare decisions. We are committed to enabling the utilization of genomic data in order to improve health, catalyze scientific and medical research, and contribute to improved outcomes for everyone. Invitae is an open, title-free company that operates as a meritocracy. We focus intently on our ability to deliver reliable solutions that contribute to improving people's lives. We have excellent benefits.
Experience Platform
The customer experience team works cross-functionally to help achieve Invitae’s mission. We are responsible for the full product cycle from strategy to execution, and iteration to experimentation. We are highly cross-functional, working closely with our designers, engineers, data scientists, founders, operations, and genetic counselors.
As a Data Scientist for the customer experience team at Invitae, you’ll turn data into insights and get a deep understanding of customers and patients to impact our strategy and direction. You will study user behavior, strategic initiatives, markets, content, and new features and bring data and insights into every decision we make. Above all, your work will directly impact the lives of patients around the world.
Why Invitae?
#1 -- You will change patients’ lives on a daily basis.
#2 -- You will have the scale to impact millions.
#3 -- We are on the cutting edge of medicine.
What you will do:
Perform analyses on large sets of data to extract actionable insights that will help drive decisions across the business and understand how our customers use our products.
Communicate data-driven insights and recommendations to key stakeholders
Design customer-facing experiments (A/B tests) and turn the results into actionable outcomes
Serve as data steward of Invitae’s web events, including maintaining data quality of customer and web interactions and guiding best practices for managing web events data
Help define product and business success metrics by collaborating with product, engineering, design, and marketing teams to ensure correct data tracking instrumentation for measurement
What you bring:
You have at least 3+ years of experience in a similar data scientist role and a degree in a quantitative discipline (computer science, statistics, economics, quantitative social science, etc.)
Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience. Any equivalent combination of training, education, and experience that provides the required skills, knowledge and abilities.
You are a data evangelist who wants to scalably distribute learnings and amplify business impact by helping the team (and company at large) make smarter decisions.
You love to investigate behavioral data (preferably in the domain of online interactions) to get more objective, definitive answers to questions of “why”
You have data chops: Advanced SQL skills and experience with large-scale relational databases. You also have deep knowledge of R or Python for data cleaning, statistical modeling, data analysis, and data visualization
You have solid experience with research principles, experimental design, and current best practices for mixing qualitative and quantitative methodologies
Nice-to-haves:
Experience working in healthcare and/or tech sector
Experience with common web analytics tools (Google Analytics, Amplitude, Mixpanel, etc.)
Domain knowledge in clinical genetics
Experience with a BI tool such as Tableau
Experience with a variety of research tools (Qualtrics, Optimizely, Google Optimize, etc.)
Experience with Snowflake
#LI-Remote
|
Sr Bioinformatics Scientist | Invitae |
Invitae is a biotechnology company focused on providing tools and services for clinical research applications of genomics. Our mission is to unlock the power of precision medicine in improving patient care by providing a technology platform to advance genomics and facilitate collaborative research.
Invitae is seeking Bioinformaticians to join our team. This role will be centered around creating workflows, tools and algorithms to complement assay/product development. The ideal candidate should be able to perceive a problem clearly and dissect it into components which can be resolved programmatically. Having a comprehensive grasp of genomics and next generation sequencing will be key to succeeding in this role. The candidate should be independent, well organized and collaborative with clear communication skills. In addition, the ability to frequently switch between tasks will be helpful.
As necessary, but not as a primary role, the candidate will assist the Clinical team in ad-hoc analysis and research required to meet regulatory requirements. You will be responsible for scaling our pipelines as we work toward our goal of providing low-cost genetic answers to billions of people.
Responsibilities:
Develop high-performance bioinformatics workflows that can accurately and reliably analyze large volumes of NGS data using Nextflow in a system agnostic manner
Collaborate in a cross-disciplinary team by building, deploying, and maintaining software solutions compatible with distributed and/or containerized systems
Designing APIs using industry best practices to streamline communication between various Invitae platforms
Develop best practices for analysis of NGS data including optimization of parameters, resource utilization, and consensus approaches across various NGS applications
Mentor budding engineers/scientists by participating in code review/analysis sessions
Drive genetics technology development in a cross-disciplinary setting by critically analyzing and deriving insights from experimental data (including NGS, arrays, and novel technologies) using open source NGS tools and building custom tools when needed
Develop reproducible analysis for research and development purposes
Review, understand, and stay in compliance with Invitae HIPAA Security policies and procedures
Optionally, build and evaluate algorithms and statistical models to improve existing genetics applications within and beyond NGS technologies and create novel ones
Optionally, maintain a visible profile in the Bioinformatics community through publications, conference presentations, and collaborations
Good to Have Qualifications:
MS with 8+ years experience or PhD with 5+ years experience in Bioinformatics or Computational Biology
Fluent in R/Python
Fluent in *nix, and SQL like DB technology for data analysis
Working knowledge of standard bioinformatic tools used in NGS pipelines
Working knowledge of pipeline workflow engines: Nextflow, Snakemake
Strong knowledge of Genomics and Molecular Biology
Solid understanding of Illumina sequencing technologies and metrics
Formal statistics background is a plus
Formal software development experience (preferred)
Understanding of Cloud Computing (preferred)
#LI-Remote
|
Senior Data Scientist | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Data Scientist to join our real-time bidder team, one of the most exciting and important products within Chartboost. This role will be focused on ad ranking, which ensures that our DSP is bidding on the most promising inventory for our advertisers. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time.
Impact you will make:
Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward
Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and enhance model infrastructure
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in data science or machine learning roles
Experience with recommendation systems or ML for ranking and relevance
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
The following experience would be a plus:
Hands-on with deep learning in production pipelines
Ad tech and/or mobile space
Perks:
Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely.
Private health insurance
Life insurance
Optical complement for glasses or contact lenses.
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
|
Data Scientist Product Analytics | Gametime |
About Us:
Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the new, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.
With platforms on iOS, Android, mobile web and desktop supporting more than 25,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.
Job Description:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, product, marketing, finance, and operations teams. As a Senior Data Analyst, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. You will dive into user behavior data to provide insights which will impact major business decisions and own the maintenance of Gametime’s business intelligence reporting. The ideal candidate will be able to thrive in a fast-paced environment and able to adapt to changes within the business and the industry.
What you'll do/own:
Provide insight into critical business decisions, working closely with the executive team to answer pressing issues
Analyze user behavior data and funnel metrics, generating recommendations for product and feature improvements
Maintain and improve Gametime’s business intelligence reporting infrastructure
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally
Our ideal candidate has:
2-3+ years of Data Analyst experience, ideally at a technology company
Proficient in SQL
Experience with A/B testing a plus
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong collaboration and communication skills
Experience analyzing user-centric products, preferably in the gaming or marketplace industries
Strong problem-solving skills
Some experience with Python or R
Experience with a data visualization software
What we can offer you:
Flexible PTO
Equity
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
New equipment setup provided
Diverse Family-forming benefits through Carrot Fertility
Wellness programs
Tenure recognition
Base salary range:
$135,000-$155,000
$135,000 - $155,000 a year
Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
|
Lead Biostatistician Data Scientist | Linus Health |
Linus Health is a Boston-based digital health company focused on transforming brain health for people across the world. By advancing how we detect, diagnose, and address cognitive and brain disorders – leveraging cutting-edge neuroscience, clinical expertise, and artificial intelligence – our goal is to enable a future where people can live longer, happier, and healthier lives with better brain health.
We are a team of 95+(and growing!), embarking on an exciting period of accelerated growth. We invite collaborative, self-driven and impact-oriented professionals to join our dynamic and fast-growing team.
Does this sound like an innovative & disruptive start-up where you could see yourself? If so, continue reading…
Please note that we are only open and considering US and Canada based candidates at this moment. Unfortunately, we are not able to provide sponsorship for any of our roles.
The Role:
We are looking for a Lead Data Scientist or Biostatistician who is willing to take on new challenges and work in a highly collaborative environment with clinicians, developers, and other data scientists. There is always something new to learn. This role is core to the product vision and continued growth of Linus Health. This is NOT your typical data scientist role and is perfect for those looking to leave customer churn prediction and AB testing behind.
What You’ll Do:
Systematically investigate statistical and algorithmic approaches to make data driven decisions
Design and execute statistical analysis plans for clinical trials and studies with research partners and to support internal initiatives
Lead data analytics initiatives and design data driven products to support customers and internal stakeholders alike
Participate in publications, presentation, and research to promote Linus Health as a thought leader in the domain of healthcare AI
Collaborate with clinicians, product managers, and software engineers to develop applied solutions and prioritize scientifically grounded product features
Address data challenges such as missing data, class imbalance, small data sizes, and inconsistent formatting
Mentor and grow the next generation of data scientists and statisticians at Linus Health
Learn, evaluate, and develop novel approaches to crafting digital twins, quantifying uncertainty, and targeted solutions to advance healthcare solutions
Collaborate and learn from other data scientists to align on best practices and leverage existing tools and knowledge
Clearly document, track, and communicate results to executive leadership and the C Suite
About You:
Must Haves:
Advanced degree in Physics, Mathematics, Statistics, Data Science, Biostatistics or similar
PhD and 4+ years of experience required
Previous work in healthcare data analysis
Deep knowledge of applied statistics and mathematics
Mastery of core statistical methods such as correlation analysis, hypothesis testing, evaluating distributions, etc.
Previous project leadership experience and comfort mentoring small teams of data scientists
Fluency with Python or R
Excellent verbal and written communication skills
Superior project leadership and planning skills
Nice To Haves
Experience working with cloud-based analytics solutions, preferably AWS
Expertise in deploying data driven products and working with software engineers
Exposure to neuroscience, neurology, neuropsychology, geriatric medicine, or similar
Experience working within an FDA regulated environment and with standard FDA data formats
What We Offer:
As a health and wellness company, an opportunity to have a lasting impact on the way people and communities engage with brain and mental health, and even to affect the prognosis of people’s mental and brain health trajectory
A mission-driven environment where all 95+ (and counting) employees strive to exemplify our core values every day
Competitive compensation packages that include an annual discretionary target bonus incentive as well as valuable equity
Unlimited PTO — We know this can work both ways, however our leadership team does an excellent job at encouraging people to take PTO
A sincere and deep appreciation for the importance of mental health. We have recently implemented a “monthly flex day” where employees are encouraged to take time away from work to rest, recharge & reset.
A peer-to-peer recognition program: Celebrating our employees hard work and success is in our DNA!
Employee Referral Incentive program
A robust healthcare package that includes medical, dental & vision benefits as well as a 401(K) program where Linus will match up to 6% of employee contributions.
Linus Health is an equal opportunity employer. All qualified candidates will receive consideration for employment without regard to race, religion, color, national origin, sexual orientation, gender, gender identity or expression, age, genetic information, disability or any characteristic protected by law. We believe that diversity is critical to the growth of our company and understand the importance of fostering an environment where everyone has a voice. We are also committed to providing reasonable accommodations for candidates with disabilities during the recruiting process. If you are in need of assistance due to a disability, please contact us.
|
Sr Product Data Scientist | Philo |
Philo: TV on the Internet (TVoIP)
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.
Data Science at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting engagement, content discoverability, experimentation, and retention-related problems across our streaming service. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service.
We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye.
Some of the recent projects our Data Science team members have worked on include:
Modeling to determine which early product behaviors predict conversion
Running experiments to evaluate content personalization
Building data models for analysis of lifecycle marketing communications
Price sensitivity research and competitive market analyses
Qualifications
Philo is seeking a Senior Product Data Scientist with demonstrated understanding of statistical modeling, A/B/n experimentation practices, SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams.
In this role the Senior Product Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to measurement and experiment design, and from causal analysis and post-launch learning to the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo.
Responsibilities:
Build a deep understanding of how subscribers use Philo on each of our streaming platforms, including where they run into problems as well as identifying new features and defining the metrics to evaluate those features
Own analytics and tracking plans, within several development work streams, from metric definition and data instrumentation design to ongoing reporting and research
Iteratively improve our experimentation methods and establish best practices for A/B/n experiments
Establish curated dashboards that will serve as the primary source by which we evaluate the performance of features
Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
Understand user flows, user behaviors, and long-term trends in our data to identify opportunities for new features
Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value, retention, win-back, and content consumption metrics
Key Qualifications:
10+ years of experience in a Data Science role
Demonstrated ability to influence product roadmaps and business decisions with data
Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques
Experience with relational databases and SQL
Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences
Expert with statistical analysis in either R or Python
Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience
Experience in writing production-quality code in R/Python, productionizing data models and statistical models with tools such as Git, Sagemaker, and dbt, and using software engineering best practices around version control, review, and automated testing
More about Philo
We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users.
Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content!
We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers.
Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E.
Status: Full-timeLocation: San Francisco, CA or remoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
Full health, dental and vision coverage for you and your family
Flexible working hours
Generous paid parental leave
Unlimited paid time off for vacation and sick leave
$2000 annual vacation bonus (we pay you to take a two week vacation)
$5250 annually for professional development and educational assistance
$1250 annual home office + TV stipend
$500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices
Dog-friendly office
And much more!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
Apply Now
|
Sr Growth Marketing Data Scientist | Philo |
Philo: TV on the Internet (TVoIP)
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.
Data Science at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting growth and marketing problems. You’ll be working closely with other data scientists, analysts, marketing managers, and engineers to build and deploy solutions directly for our service.
We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye.
Some of the recent projects our Data Science team members have worked on include:
Modeling to determine which early product behaviors predict conversion to a paid subscriber
Building in-house marketing attribution models to evaluate marketing channel performance (Marketing Mix Models and Multi-touch Attribution)
Performing matched market lift tests in collaboration with marketing managers
Price sensitivity research and competitive market analyses
Qualifications
Philo is seeking a Senior Growth Marketing Data Scientist with demonstrated understanding of statistical modeling (in R and/or Python), SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams.
In this role the Senior Growth Marketing Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to building and delivering software tools for our marketing team, including measurement and experiment design, and from causal analysis and post-launch learning into the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo.
Responsibilities:
Build a deep understanding of how subscribers are acquired on each of our streaming platforms, including where they run into problems as well as proposing new approaches
Develop a unified approach to measuring marketing performance by combining multiple methods of marketing measurement including Marketing Mix Modeling (MMM), Geo-based experimentation, and Multi-touch Attribution (MTA) to evaluate and iteratively optimize the performance of our marketing efforts
Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value measurement and optimizing customer acquisition costs
Establish curated dashboards and reporting that will serve as the primary source by which we evaluate the performance of our growth efforts
Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings
Build and deploy machine learning and statistical models such as Customer Lifetime Value, Segmentation, time-series forecasting end to end through scoping, researching, prototyping, and productionizing with tools such as Git, Sagemaker, dbt, Robyn
Key Qualifications:
10+ years of experience in a Data Science role
Demonstrated ability to influence product roadmaps and business decisions with data
Proven expertise in building and improving marketing attribution models, including techniques such as Bayesian methods for hierarchical modeling, ridge regression, and methods for handling missing data
Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques
Experience with relational databases and SQL
Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences
Expert with statistical analysis in either R or Python
Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience
Experience in writing production-quality code in R or Python and delivering software tools in an iterative fashion using software engineering best practices around version control, review, and automated testing
More about Philo
We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users.
Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content!
We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers.
Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E.
Status: Full-timeLocation: San Francisco, CA or remoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
Full health, dental and vision coverage for you and your family
Flexible working hours
Generous paid parental leave
Unlimited paid time off for vacation and sick leave
$2000 annual vacation bonus (we pay you to take a two week vacation)
$5250 annually for professional development and educational assistance
$1250 annual home office + TV stipend
$500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices
Dog-friendly office
And much more!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
Apply Now
|
Senior Data Scientist Product Analytics | Rec Room |
(This role is fully remote for candidates located in British Columbia.)
Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! As a Senior Product Data Scientist at Rec Room, you will be responsible for a large strategic area and will use data to be an advocate for our players. Your insights into what users are doing on the platform will inform broader team strategy and impact their short and long-term roadmap. You'll be equal parts leader, investigator, and storyteller, shaping experiences towards delighting players and building a sustainable business.
As we scale, Product Data Scientists will embed within individual teams, and as the Senior Product Data Scientist, you would be expected to drive product thinking at the broader team level and guide other data scientists as needed. You might be helping the econ team think through how to scale the buyer and builder ecosystem, or helping the growth team think through how to give users more reason to return to the app. You might also help the User Generated Content team think through how to enable creators to build the best products, or the Social team how to make a player's experience more meaningful. The questions and potential for impact are huge.
WHAT YOU'LL DO:
Work closely with our designers and developers to understand what users are doing on the platform. Broadly communicate those findings to the immediate team and beyond.
Define top-level business and team KPIs, establish learning agendas, measurement plans, and success metrics in close coordination with the product team.
Work with teams to build a culture of goal setting and accountability.
Drive changes to our product roadmap based on quantitative insights.
Structure thoughtfully designed A/B tests and up-level broader team through rigorous understanding of test results.
Contribute as needed to improve overall infrastructure - including building pipelines, data documentation, and dashboarding.
Work with the ML team as needed to develop novel features and understand performance.
WE ARE LOOKING FOR INDIVIDUALS WITH:
5+ years of product analytics experience, with a proven track record of deriving insights that lead to product changes
A Bachelor’s or Masters in Math, CS, or related field
Significant expertise in experimentation methodologies
Very strong knowledge of SQL
Experience with Python or R is a plus
Experience with manipulating and analyzing complex, high-volume data
A constant desire to learn, improve, and help others improve
Effective communicator with the ability to distill complex concepts into easily digestible insights
COMPANY INFO TO KNOW:
Rec Room offers generous medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. Rec Room strives to be an inclusive place for people from all walks of life. We support employees with competitive benefits, leave options, and unlimited paid time off. Our company values are real and drive our culture.
Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
|
Senior Data Scientist Machine Learning | Rec Room |
Rec Room is the best place to build and play games together. Players can chat, hang out, play in millions of rooms, or build something new to share with the world! We have a vibrant commercial ecosystem within Rec Room, and our goal is to enable creators to be rewarded for their work. Come join us on the ground floor to help optimize the ecosystem for both players and the business.
As a Senior Machine Learning Data Scientist, you’ll be responsible for designing, developing, and implementing machine learning models to power our in-game store recommendations and serve users content that they’d find valuable. You’ll be supporting creators in making a living on the platform, as well as playing a critical role in the success of Rec Room as a business.
WHAT YOU'LL DO:
Design, develop and implement production-facing ML models to deliver valuable commerce content to our users.
Collaborate closely with the ML Infra team to define a roadmap that powers real-time personalized ranking models.
Design and run A/B tests, analyze model performance, and deep dive into the data to uncover opportunities for improvements.
Build out pipelines in collaboration with our Analytics Engineering team to enable model building on top of sophisticated features.
Set best practices, mentor, and provide guidance to the more junior Data Scientists.
WE ARE LOOKING FOR INDIVIDUALS WITH:
Master's or Ph.D. degree in computer science, statistics, mathematics, or a related field
5+ years of ML ranking experience in a production setting
Strong proficiency in programming languages such as Python, R, and SQL
Deep familiarity with ML infrastructure to collaborate with our infra team
Extensive experience with experimentation.
dbt knowledge is a plus
Spark/Databricks knowledge is a plus
COMPANY INFO TO KNOW:
The base pay range for this position is $138,750-231,250 per year; however, the base pay may vary depending on job-related knowledge, location, skills, and experience. Stock options and, in some cases, a sign-on bonus may be offered as part of the compensation package. We also offer a full slate of benefits, including flexible vacation, medical, dental vision, life and disability coverage, long-term care insurance, FSA, commuter benefits, a 401(k) plan with company match, and a parental leave program. We also offer some not-so-standard benefits, including equipment, family, and pet care stipends.
Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
|
Senior Data Scientist Product Analytics | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
We are looking for a senior analytics professional to help drive the success of product efforts at Etsy by providing concrete insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization.
As a Senior Data Scientist you will be responsible for:
Applying advanced analytical techniques to break down high-level strategy questions into actionable insights that drive the next stage of growth for our users
Conducting online experiments to help improve buyer experience with Etsy Ads, while ensuring seller satisfaction with the product
Identifying drivers of relevance that contribute to engagement with seller ads, and surfacing inefficiencies that could help unlock improvements to our models
Do you find joy in guiding strategy with data-driven insights, telling the story of how we improve the experience for our users, to teams, to senior management, and to the community.? If so, this could be the perfect match.
This is a full-time position reporting to the Manager, Data Scientist, Product and the base salary range will be 130,000 - 168,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What’s this team like at Etsy?
The role is a part of the Product Analytics team which is responsible for helping drive the success of product efforts at Etsy. We partner with cross-functional peers through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience!This is a high visibility position supporting the Etsy Ads initiative. The team helps sellers level up their business through on-site advertising, while also meeting buyer expectations around relevance to help them make a purchase decision.
What does the day to day look like?
Lead all analytical aspects of the product lifecycle from sizing opportunities all the way through to measuring success via experimentation.Work closely and collaboratively with senior management within Etsy Ads to craft a well defined analytics roadmap.Define metrics to ensure robust measurement of product performance.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
4+ years experience as a data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.Successful track record of guiding product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and data-driven decisions. Experience working in a two sided marketplaces environment and/or in fulfillment/logistics preferred.Mastery of SQL and proficiency in R/Python. Passionate to try new approaches to advance your technical skills. Bonus points for experience with the Hadoop ecosystem and Looker, Tableau, or other data visualization software.Experience with crafting and analyzing online experiments with a good understanding of A/B testing.Ability to conduct sophisticated analyses and regularly use advanced statistical methods (ex. Propensity Score Matching, Causal Impact, Regression Models) in your work.Comfortable with distilling complex insights into compelling narratives for senior executives, both verbally and visually.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.
|
Lead Data Scientist Operations Research And Simulation | Rivian |
Rivian is seeking a simulation expert to assist in designing and optimizing fulfillment process using discrete event simulations for Commercial Operations. Perform process modeling and simulations, statistical analysis, and design on experiments to drive decisions on processes and designs.
Responsibilities
Build Discrete Event Simulation (DES) models to build, simulate, and optimize the fulfillment operational process flow models using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages to determine future state performance under varying conditions
Understand process flows, analyze data, perform Design of Experiments, and effectively represent in simulation model to achieve better correlation and process improvements
Analyze, interpret and facilitate process improvement initiatives among site operations, logistics, last mile operations and upper funnel groups.
Enhance models on ongoing basis to ensure continued alignment with business.
Examine key business data by identifying, cleaning, and providing analysis and insights. Validating data fidelity and creating data where none currently exists.
Generate insights and present findings to senior management using data visualization and presentation programs to make business recommendations.
Key partners to collaborate with include IT, Finance & Accounting, Treasury, Manufacturing & Engineering, Various Operations Teams, People Team, Strategy, Marketing, Commercial Analytics
Requirements
Master’s degree in Operations Research/Industrial Engineering, Statistics, Mathematics or related technical field required
3+ years of experience in building simulation models – discrete event simulation, agent based and hybrid simulation models.
Proficiency in Python, Java or other programming languages
Proficient in SQL, Tableau, and Excel.
Familiarity with AWS preferred
Experience in supply chain
Ability to quickly understand and map systems, processes, and operations
Experience in a dynamic and agile environment requiring high-adaptability, management of multiple projects, excellent cross-functional communication and presentation skills
Continuous improvement attitude: ability to suggest and implement best practices
Willing to travel (up to 5%)
Salary Range for New York City (not state) Based Applicants: [ 162,000 - 210,000 ] (actual compensation will be determined based on experience, location, and other factors permitted by law).
|
Senior Data Scientist | Nielsen |
Our business is centered on data, because it’s what our clients need to make confident decisions that shape the future of media. Our Data Science team delivers essential metrics and insights to brands around the world through new product ideation, experimental design and complex analysis.
ABOUT NIELSEN
Audience is everything! Nielsen is the global leader in mapping media ecosystems. With a footprint in 70 countries and 15,000 associates, we offer the world’s most complete measurement of everything people watch on all screens. We leverage the best data assets and modeling methods to build consistent and comparable metrics of viewing behavior. By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth.
ABOUT DATA SCIENCE
Data Science is at the core of Nielsen’s business. Our 500+ data scientists range from survey methodologists, experimental behaviorists, statisticians, machine-learning modelers, data engineers,and software developers. We drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world.
ABOUT YOU
You’re a visionary who can also execute--you see the possibilities, then create a plan and make it happen. You understand media measurement or are able to quickly pick up domain knowledge on the job. You write production-quality code and enjoy orchestrating your big-data solutions at scale. You’re able to shift gears quickly and adapt to changing circumstances. You also have the communication chops to translate it all into conversation or presentations, connecting strategic objectives to daily work. Seeing the big picture takes attention to detail. You know what’s happening in the data science world and you’re ready to influence what’s next.
ABOUT THE JOB
Our team builds methodologies that integrate Nielsen’s state-of-the-art data assets into cutting-edge audience measurement and planning products. The Senior Data Scientist will develop and producionalize data integration models for our content measurement for TV, digital, and radio platforms. Meetings are usually held during standard East Coast working hours; some flexibility may be required for international coordination.
QUALIFICATIONS:
Advanced degree in Statistics, Computer Science, Engineering, Physics or other STEM fields
Proficiency in Python, Spark, or Scala to develop sharable software with the appropriate technical documentation
Experience with enterprise data systems
Experience with cloud platforms.
Experience with Hadoop, Apache Spark, and other big data systems
Experience with Atlassian suite is a plus
Experience with statistical and machine-learning models
Experience with both designed and organic data
2 or more years work experience in data science
Excellent communication skills, ability to explain complex problems to technical and non-technical audiences
JOIN US!
Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!
Nielsen: Enabling your best to power a better media future. Our comprehensive benefits package (including health & wellness plans, 401(k) retirement coupled with a Nielsen match, a generous paid time off policy, and if eligible, a discretionary incentive/bonus) is designed to be inclusive for all employees and families, and we take pride in ensuring that employees are rewarded holistically for the role they are doing and their performance. A reasonable estimate of salary range for a new employee to be offered this role would be between 100,000 - 300,000, which would be adjusted based on each employee's geographic location. The position of each employee within a compensation range at Nielsen is dependent on several individual circumstances, such as experience, training, certifications and other business requirements/needs.
Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
#LI-REMOTE
|
Senior Data Scientist Automation | Biobot Analytics |
In this role, you will create new tools and processes to improve efficiency of the Data Science team. You will build dev environments, tools, libraries, and processes for efficient prototyping, and supporting R&D efforts. You will be at the intersection of Data Science and Data Engineering, where you will facilitate communication and skills-sharing between the teams. You are motivated to improve your teammates’ productivity and you have a strong passion for automation. Your work will help improve Biobot’s internal reporting and facilitate data sharing across the organization, which will be essential to help grow the company at scale. As a senior member of our data science team, you will drive the exploration and finding of opportunities to improve our code and processes, and suggest tools and ways to improve our system.
Essential Duties and Responsibilities (What you will be doing):
Identify opportunities for automation of data processes
Design and implement process improvements and automations
Build and maintain tools and libraries to support prototyping and R&D efforts of the Data Science team
Partner with Software Engineering to learn our engineering team’s development best practices and evangelize them to Data Science as applicable
Help developing scalable reporting and data sharing capabilities, both internally and with external customers
Provide mentorship and guidance to junior team members, encouraging best practices and implementing processes that help the team succeed
Education and/or Work Experience Requirements (What you need to succeed):
5+ years of related experience with a Bachelor’s degree; or 3+ years and a Master’s degree; or equivalent work experience.
Mastery of Python
Experience with cloud-based and containerized computing (e.g. AWS, Docker, etc)
Experience working with data scientists and software engineers
A strong passion for improving processes (and a strong aversion to inefficiencies and manual data work)
Desire to explore and learn new tools, and to teach others what you have learned
Strong communication skills
Strong owner mentality
Ability to adapt to a rapidly changing startup environment
Education and/or Work Experience Bonuses (What will help you succeed):
Experience building internal data science tooling and libraries
Experience with Airflow or other workflow scheduling tools
Experience using R
Experience using APIs
Degree in computer science, a related field, or equivalent working experience
Physical Requirements and Special Demands:
Standing or sitting for several hours at a time
Listening and speaking clearly on video conferencing for several hours a day
Our Benefits
HEALTH
Free medical, dental, and vision insurance for employees and their families, including a $0 deductible medical plan. We want our employees to manage their health and that of their families without worrying about high premiums or deductibles.
SELF CARE
Unlimited PTO with 3 week minimum. Whether it's playing MTG or D&D, singing on stage, camping, raising chickens, or anything else that inspires, we want our employees to unplug and explore their passions.
BIOBABIES
12 weeks parental leave at 100% pay. We love Biobabies and know that bonding with a new child is a critical need for employees and Biobabies alike.
SAVINGS
3% Biobot 401k contribution. Regardless of whether our employees contribute, we contribute 3% of salaries into participating employees' 401k accounts because we want to support their long-term financial goals.
WORKSPACE
$500 home office stipend for remote employees; free parking + commuter benefits and free meals for lab employees. Onsite or at home, we ensure our employees' workspace is set up for success.
About Biobot
At Biobot, we are working together to build a team environment in which everyone can thrive and is proud to belong. We are an equal opportunity employer and our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from candidates of all identities and backgrounds, including those who are traditionally underrepresented in technology startups.
Our mission is to transform wastewater infrastructure into public health observatories.
Named as one of Fast Company’s most innovative companies in the world in 2021, Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure biomarkers in sewage to better understand population health in cities. We first launched an opioid product to support government and public health officials in responding to the opioid epidemic, and in 2020 launched a Covid19 product to estimate the scope and trend of the outbreak in communities. We have operated in almost 500 communities across 43 U.S. states, generating Covid19 case estimates for over 13% of the U.S. population.
Battling the opioid epidemic and now the Covid19 pandemic is just the beginning - we’re transforming sewage into a data asset and building a public health database. Eventually, Biobot data will be an early warning system for disease outbreaks, a map of nutrition disparities, and more. Headquartered in the Boston area with an office in NYC, we aim to create the bedrock of human health infrastructure and smart cities in countries across all six continents.
Please note that we are unable to sponsor work visas at this time.
www.biobot.io
|
Climate Risk Data Scientist | Keybank |
Location:For Those Who Work At Home - Various, Ohio 44145ABOUT THE JOB (JOB BRIEF)This exciting role is at the intersection of Data Science and Environment Analysis. The Climate Risk modeling process is foundational to KeyCorp’s commitment to transforming to an environmentally responsible bank. This risk management program produces outcomes that help inform the bank’s decisions and strategies. The Risk Modeling and Analytics group within KeyCorp is looking for a Data Scientst to develop Climate Risk models. The primary responsibility will be to apply advanced statistical modeling, machine learning and artificial intelligence to develop, validate, modify and test predictive models at an advanced level. This role requires a deep understanding of statistical modeling techniques and how certain loan portfolios (e.g., commercial loans, real estate loans, etc.) are impacted by both loan attributes as well as physical and transition risks as they relate to climate. As part of the role, there will be a need for strong engagement with internal partners and taking lead on numerous initiatives. Finally, results and other analyses will be shared with various business executives to gain insights into the portfolio and share foresights and conclusions from the modeling and analytics.ESSENTIAL JOB FUNCTIONS
Develop, design, and/or leverage advanced modeling approaches, standard techniques for data inference and performance, and sophisticated statistical models
Perform complex data discovery utilizing AI and machine learning on large scale data lakes
Partner with business to provide meaningful insights and solutions for complex analytic needs
Deliver the message to partners using past trends to predict future behavior and link conclusions based on analyses to business impact
Communicate with modelers, business partners and stakeholders to gather knowledge and implement solutions
Identify and employ best practices
REQUIRED QUALIFICATIONS
Master’s degree (or its equivalent) in statistics, mathematics, economics, data sciences, or other quantitative disciplines and at least 1-2 years of relevant experience; or Bachelor’s degree (or its equivalent) and at least 3 years of relevant experience
Knowledge of statistics/econometrics and strong analytical ability
Ability to understand and develop statistical models in Python, R, SAS etc
Proficiency in the use of Microsoft Office, with more advanced experience in Excel
Strong data management skills
Track record of excellent time management and completion of complex projects
Strong communication, ability to work with highly technical staff from academia and business; Ability to work well in a team environment
Impeccable integrity, strong accountability, sound judgment, and strategic vision
PREFERRED QUALIFICATIONS
Familiarity with Climate Risk (Carbon emissions, Physical Risks, Transition Risks, etc.)
Familiarity of the Commercial and Industrial Lending (Institutional Banking, Middle Market etc.) and Real Estate portfolios
Understanding of drivers and predictors of deriving expected loss as well as knowledge of the banking sector in general
Familiarity with Cloud Analytics (e.g., Google Cloud Platform, Azure, AWS)
Familiarity with Current Expected Credit Loss (CECL) financial accounting standards
Familiarity with Tableau or other data visualizations platforms
EXPECTED COMPETENCIES
Leadership: Emerging leader across team; Provides direction/mentorship to interns
Partnering / Influencing: Proven relationship building ability; Strong interpersonal skills; Can participate in conversation with partners in the business, technology, etc.; Developing comfort with influencing and consulting typically within and across team
Business Acumen: Understands assigned LOB strategy; Possesses intellectual curiosity; Understands key drivers of financial results and business impact
Critical Thinking / Problem Solving: Leverages critical thinking and business acumen to provide solutions to increasingly more complex problems; thoroughly vets and thinks through options before making a decision
Communication: Strong writing skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders, with the right amount of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present; Demonstrated presentation development and delivery skills; Ability to create presentations that include the right data / information and tell the right story
#LI-RemoteCOMPENSATION AND BENEFITSThis position is eligible to earn a base salary in the range of $85,000 to $100,000 annually depending on job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligible.KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing [email protected].
|
Quantitative Analyst | Clipboard Health |
About the Role
Quants at Clipboard Health develop, deploy, and monitor mathematical algorithms to clear per-diem transactions across labor markets. They are independent thinkers who can innovate rapidly in a domain with virtually no pre-existing literature.
This is a high ownership role, where contributors own pricing problems all on their own. They're expected to find clues, design solutions, run experiments, and deploy successful strategies to the entire marketplace at an extremely fast pace (every 1-2 weeks). Quants also talk to customers, write a lot to keep the organization updated on their thinking, and participate in weekly meetings where they report on the progress of their initiatives (in writing).
What is the Pricing Team?
The Pricing Team is a new team at Clipboard Health that builds real-time, automated systems to price (and reprice) each shift in the marketplace to reflect the evolving dynamic between labor supply and demand.
Qualifications
Our interview process is focused on two case studies. They are the cornerstone of how we evaluate candidates. The qualifications below are only meant to serve as a helpful benchmark.
B.A., M.A., or PhD in a quantitative discipline, or equivalent quantitative experience.
Experience programming, ideally with Python. JavaScript experience is helpful.
Ability to write complex SQL queries.
Deep understanding of probability theory.
1+ years of experience in a high-growth environment is preferred but not required. New graduates are welcome.
Benefits
Competitive compensation, in line with quant roles at financial firms
Equity in a high-growth startup
Meeting-light, remote culture
Unlimited vacation
|
Senior Data Scientist Automation | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
Now we’re looking for an exceptional Senior Data Scientist to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.
Impact you will make:
Design and test predictive models and control algorithms at large scale that control real money and target specific financial goals
Guide development of campaign automation products that use increasingly sophisticated algorithms
Train, tune, and enhance production models written with Python and Scala
Explore and develop expertise with cutting-edge infrastructure (built and bought) for model development, deployment, and data observability
Propose and engineer new model features from our continuously growing and diversifying stores of data
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with Business, Product, Data, and Engineering teams to co-own the rollout of new product offerings
Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines
Who you are:
BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
5 to 7 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Experience with continuously-deployed and frequently-retrained production ML models or ETL pipelines for large and/or fast data
Experience designing and implementing successful data products
Strong data visualization and manipulation skills: you are able to distill a clear picture from disparate data sources reflecting a complex business
Intermediate Python proficiency for scripting and model prototyping; proficient with SQL
The following experience would be a plus:
Ad tech or mobile game industry
Control engineering
Perks:
The opportunity to help continue to build a company with the founding team
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
|
Data Scientist Automation | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
Now we’re looking for an exceptional Data Scientist to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.
Impact you will make:
Design and test predictive models and control algorithms at large scale that control real money and target specific financial goals
Train, tune, and enhance production models written with Python and Scala
Explore and develop expertise with cutting-edge infrastructure (built and bought) for model development, deployment, and data observability
Propose and engineer new model features from our continuously growing and diversifying stores of data
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with Business, Product, Data, and Engineering teams to co-own the rollout of new product offerings
Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines
Who you are:
BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Experience with continuously-deployed and frequently-retrained production ML models or ETL pipelines for large and/or fast data
Strong data visualization and manipulation skills: you are able to distill a clear picture from disparate data sources reflecting a complex business
Intermediate Python proficiency for scripting and model prototyping; proficient with SQL
The following experience would be a plus:
Ad tech or mobile game industry
Perks:
The opportunity to help continue to build a company with the founding team
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
|
Sr Product Manager Data Science And Machine Learning | Clari |
Clari takes pride in being the leader in Revenue Collaboration & Governance (RevCG) and providing the first platform to stop revenue leak and achieve revenue precision. With Clari’s Revenue Platform, all revenue-critical employees now have an enterprise system to run revenue. Forecasting, pipeline management, conversation intelligence, deal execution, coaching, and buyer collaboration (to name a few) are a maze of challenges made simple with Clari. Thousands of teams at leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision.
Clari's revenue operations platform enables experiences that are mission-critical for our users. It connects to our customer's most important business systems integrating data that we use to power our applications, analytics, data science, and APIs. We are building a platform of the future that lives and breathes data and intelligence which is instrumental in supporting our continued journey of explosive growth.
We are looking for a product manager who is passionate about data and machine learning to drive intelligence capabilities throughout our stack. In this role, you will have the opportunity to expand Clari’s data science capabilities and embed them throughout our platform.
This is a fully remote opportunity and can be worked from any location in the United States.
Responsibilities
Drive the vision and roadmap for data science in the Clari platform
Partner with engineering on approaches to leverage machine learning
Partner with product managers to maximize the impact of intelligence throughout our targeted revenue process applications
Develop tight working relationships with customers, partners, and internal stakeholders, ensuring that we’re solving our users’ and customers’ most pressing problems
Collaborate with Product Marketing, Growth, and GTM teams to shape and execute go-to-market strategies
Ensure that our data science solutions are built for trust, scale, extensibility, and reliability
Leverage data from multiple sources to inform product decisions and drive customer adoption
Set targets for product adoption & impact, and work with success teams to ensure our product goals are met
Qualifications
4+ years of SaaS product management experience, from inception to delivery
2+ years of data science/machine learning experience (e.g. time series analysis, HMM, Deep Learning for classification, and NLP)
Experience managing complex stakeholder relationships, including engaging with users, customers, partners, and industry analysts
Working familiarity with databases, data management, and modern API-based software architectures
Working familiarity with modern ML development stack, open-source libraries, and hosted ML services (e.g. Tensorflow, PyTorch, NumPy, AWS Sagemaker, DataRobot, etc.)
Experience delivering systems optimized for scalability and extensibility
Strong written and verbal communication skills with a forte for breaking down complex technical problems
Outstanding presentation skills with the ability to communicate business and technical topics and adjust to diverse audiences
Work-Life and Benefits @ Clari
Remote-first with opportunities to work and celebrate in person
Medical, dental, vision, short & long-term disability, Life insurance, and EAP
Mental health support provided by Modern Health
Pre-IPO stock options
Wellbeing and professional development funds
Retirement 401(k) plan
100% paid parental leave, plus fertility and family planning support provided by Maven
Discretionary paid time off, monthly ‘take a break’ days, and Focus Fridays
Focus on culture: Charitable giving match, plus in-person and virtual events
#BI-Remote #LI-Remote
You’ll often hear our CEO talk about being remarkable. To Clari, remarkable means many things. We believe in providing interesting and meaningful work in a nurturing and inclusive environment. One that is free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Efforts have to be recognized. Voices have to be heard. And work-life balance has to be baked into the very fiber of the company. We are honored to be recognized by Inc. Magazine and Bay Area News Group as a best place to work for several years running. We’d love to have you join us on our journey to remarkable!
If you feel you don’t meet 100% of the qualifications outlined above, we want you to apply! Clari believes in hiring people, not just skills. If you are passionate about learning and excited about what we are doing, then we want to hear from you.
Clari focuses on culture add, not culture fit. One of our values is One with Customers, and we know we can serve them better when we involve as many different perspectives as possible. Our team is made stronger by what makes you unique, so we hope you’ll bring your whole self to the job.
|
Senior Data Scientist | Red Canary |
Who We Are
Red Canary was founded to create a world where every organization can make its greatest impact without fear of cyber threats. We’re a cyber security company who protects, supports and empowers organizations to make better security decisions so they can focus on their mission without fear of cyber threats.
The combination of our market-defining technology and expertise prevents breaches every day and sets a new standard for partnership in the industry. We’re united in our commitment to customers and grounded in our values, which earned us a place on the Forbes Best Start-up Employers 2022 list. If our mission resonates with you, let’s talk.
What We Believe In
- Do what’s right for the customer
- Be kind and authentic
- Deliver great quality
- Be relentless
Challenges You Will Solve
Red Canary is looking for a Senior Data Scientist to work alongside our CIRT and Threat Intelligence teams to design, build, and manage innovative tooling which enables positive security outcomes for our team and customers.
In this role you will be responsible for manipulating and analyzing complex, high-volume data from our security operations platform. You will help drive a deeper understanding of Red Canary’s telemetry, develop and validate predictive machine learning models, improve existing approaches based on statistical methods, and partner with our CIRT to onboard and deploy tooling into production.
If you love data, cyber security, and having a direct impact on stopping cyber attacks at scale this is the role for you!
What You'll Do
Work with large, complex data sets.
Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Build and prototype analysis pipelines iteratively to provide insights at scale.
Train, validate, and tune predictive models related to data processed through the Red Canary security platform.
Translate operational challenges into data pipelines and model frameworks.
Deliver value to the business by transforming complex data into meaningful insights to power Red Canary products and customer security outcomes.
Develop tooling that integrates into our Detection Engineering processes to help improve process efficiencies.
What You'll Bring
6+ years of relevant experience in Data Science.
6+ year(s) experience developing and deploying code to live production systems, ideally as part of a product team.
5+ years experience with a deep learning framework
Has developed and deployed large scale real-time data pipelines and ETL tooling in production for a variety of applications
Expert in performant, scalable data warehousing, data modeling and database design
Comfortable with web service providers like AWS or GCE
Familiar with CI/CD pipelines, infrastructure as code and container orchestration
Familiar with microservice architecture and REST API design
Expert knowledge with statistical tools or packages: Python (strongly preferred; pandas, scipy, numpy, scikit-learn, etc), R
Experience with predictive models and performing data analysis
Familiarity with deploying and maintaining models and data pipelines (Airflow, Argo, Kubernetes, etc.)
Experience programmatically structuring and cleaning data, and not just analyzing highly cleaned data sets
You're a self-starter, highly accountable and will take ownership of delivering your work
Strong understanding of building models, ability to validate and measure efficacy of models via various metrics, and the knowledge to know what metrics make sense for which situation
A strong foundation in probability, statistics, and algorithm development
Programming skills that allow you to be self-sufficient in handling large datasets (Python, SQL, Scala, Java)
Experience with Vector search databases is a plus.
Targeted base salary range: $135,000 - $165,000 + bonus eligibility and equity depending on experience
Why Red Canary?
Red Canary is where people embody our mission to improve security outcomes for all. People work hard to maintain a culture that encourages authenticity in order to do your best work. Our people are driven and committed to finding the best security outcomes, delivering real and actionable answers, and being transparent along the way.
At Red Canary, we offer a very rich benefits program to our full-time team members so they can focus on their families and improving our customers’ security. For a full list of benefits, please review our Benefits Summary:
https://resource.redcanary.com/rs/003-YRU-314/images/BenefitSummary2022forRecruiting.pdf
Individuals seeking employment at Red Canary are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
|
Senior Data Scientist | Demandbase |
Introduction to Demandbase:
Demandbase is the Smarter GTM™ company for B2B brands. We help marketing and sales teams overcome the disruptive data and technology fragmentation that inhibits insight and forces them to spam their prospects. We do this by injecting Account Intelligence into every step of the buyer journey, wherever our clients interact with customers, and by helping them orchestrate every action across systems and channels - through advertising, account-based experience, and sales motions. The result? You spot opportunities earlier, engage with them more intelligently, and close deals faster.
As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, New York, Seattle, and teams in the UK and India, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area.
We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase!
About the Role:
You will be a member of Demandbase’s Central Data Science team that drives product innovation and is responsible for all ML/AI initiatives and projects. We build and apply ML models at every stage of the B2B buyer’s journey. Starting from the top of the funnel, Data Scientists build account rank models to score tens of millions of companies and also recommend companies that aren’t yet in their CRM. Our Data Scientists apply cutting-edge natural language processing algorithms and deep learning models to predict whether a company is interested in our clients' products even before they visit their site. Once ML-generated account lists are built, we launch campaigns to generate awareness and traffic to target sites.
Our Data Scientists build pacing, pricing, click-through rate, and engagement models using tens of billions of auctions daily to optimize campaign performance. We build reinforcement learning algorithms to optimize the user experience when potential prospects click on ads/banners and visit our customers’ websites.
Our Data Scientists build real-time intent using time series analysis to trigger an alert for sales after potential prospects share their contact information, to contact prospects when there’s an intent surge. ML models are a significant differentiator for each of our offerings in the ABM platform, Targeting, Conversion, and Intent products. Our Data Scientists not only build ML models, but are also substantially involved in productizing the models, and working closely and cross-functionally with data engineering, application, product, and UX design teams to deliver the world’s best account-based marketing and advertising product.
Below are examples of some of the types of projects you can expect to work on:
Identification and account intelligence: map billions of IPs and cookies to companies
Rank accounts in B2B buying journey
Intent: develop a browsable taxonomy of intent signals
What you'll be doing:
Develop Machine Learning algorithms that optimize and make an immediate business impact on KPIs.
Build, test, and deploy custom ML/AI models and algorithms on large datasets, and develop processes for monitoring and analyzing their performance in production environments.
Communicate algorithms, complex data science methods, and statistical results with technical and non-technical audiences.
Stay current with the latest technology/research and drive innovation.
What we're looking for:
3+ years of data science experience
Background in Statistics, Computer Science, Machine Learning, Mathematics, Computational Psychology, Operational Research, Physics, or relevant field
Driven more than one greenfield project from concept to production release
Proficiency with analytical and database tools (e.g. Jupyter notebooks, Hive, SQL, No-SQL)
Demonstrated ability to write clean and performant code in Python
Depending on the project you work on, experience with 1 or more of these AI/ML technologies: TensorFlow, scikit-learn, Spark MLlib, Bigquery Machine Learning, large-scale data sets, Natural Language Processing and Graph algorithms.
Nice to have skills:
Experience leading teams and projects
Experience with Google Cloud or AWS
Prior experience in Martech/Adtech space
Nice to have qualities:
You are highly self-motivated and able to operate with significant autonomy
You are able to break down complex problems and come up with simple innovative solutions
You are able to focus on the goals without getting lost in the details
Data is your thing, you love metrics and use metrics to drive projects
You are willing to build end-to-end and own the machine learning products you build or help build
Benefits:
Our benefits include options for up to 100% paid Medical, Dental, and Vision premiums for you and your entire family, $1,000 personal development stipend, flexible PTO policy, no internal meeting Fridays, Modern Health mental wellness platform, Headspace, Ginger, and 13 paid holidays and 2 additional weeks where all Demandbase employees take off (week of July 4th and Thanksgiving). Plus 401(k), short-term/long-term disability, life insurance, and all those good things.
|
Director Of Data Science Money | Shopify |
About the role
Throughout this journey, the Data Science & Engineering organization has evolved into one of the most influential and impactful entities within Shopify. As one of the inaugural teams, the data science team focussed on our Money product line helped define what was possible when merchant data was used to solve one of the most pressing problems faced by entrepreneurs - access to capital. Today, it is responsible for lending billions of dollars to merchants every year - all powered by data-driven features.
We are now looking for a Director of Data Science to take the Money Data team to the next stage in their journey. You’re inheriting a large business and a high-performing team on day one, but we expect you to play a foundational role in the next evolution that will allow us to change the global trajectory of commerce. Simply put, you’ll be shaping the future of banking for entrepreneurs while also powering Shopify’s business itself.
You will be:
Leading a team of super-talented data scientists and engineers.
Owning a portfolio of billions of dollars of capital to deploy in the service of merchants across the globe.
Delivering data and insight that is critical to the strategic decision making process across all levels of the organization.
In partnership with product managers, engineers, and designers, building product experiences that empower merchants financially.
This unique role combines global scale in a hyper-growth and fully remote environment. For the right individual this is the challenge and the opportunity of a lifetime.
This role will be working closely with:
Kaz Nejatian, VP Product (Merchant Services)
Brian Crescimanno, Director of Engineering (Merchant Services)
Mike Develin, Head of Data Science (Merchant Services)
Qualifications
You’ll Need To Have:
Organizational development – You’ll need a demonstrated track record of scaling and leading a best-in-class, diverse data organization, and building the leaders of the future.
A career path that may have included both large process-rich organizations and smaller, fast-moving companies. The ideal candidate will have been successful in both settings and can meld the best of large and lean.
Product mindset – You have a product gene that enables you to get to the root of problems faced by customers and users and to create data solutions to solve these challenges.
Well-balanced skills – People have trouble pinning you down. Both business and technical teams claim you as their own. You are equal parts technical and functional (and both are exceptionally strong), and you are equally comfortable and effective at presenting to technical or business leaders.
It would be great if you have previous experience with:
Building data-driven products and services within the fintech space
Applying machine learning algorithms in a large-scale production setting
General understanding of data infrastructure, such as Kafka, Spark, BigQuery, Presto, Tensorflow
Closing date: Monday, November 7 at 11:59PM EDT
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
All your information will be kept confidential according to EEO guidelines.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
|
Nlp Data Scientist | Home |
Are you a data scientist who’s eager to innovate and build scalable solutions that could support the next hit movie, TV show or video game? Is NLP your jam?
StoryFit is an Austin-based growth-stage startup that uses supervised machine learning and NLP to produce actionable data and audience insights that is changing the way entertainment clients acquire, develop, and drive growth and performance for their IP.
We are looking for an exceptional data scientist with extensive ML/NLP experience to work closely with our product team to develop and implement ML/NLP algorithms that impact the decision-making process for entertainment professionals. You will be responsible for building, measuring, and optimizing the quality of StoryFit’s algorithms. We are focused on high-impact projects utilizing big data analytics and machine learning to improve discovery, evaluation, and predictive outcomes.
We’re looking for:
A motivated, results-oriented Data Scientist with strong rigor and demonstrable skills in experimentation, ML, NLP, data mining, and/or large-scale distributed computation and enjoy peering into the future and shaping its outcomeSomeone who is adept at making complex concepts simple and easy to understand, has exceptional technical writing skills, and is driven to show the world the power of applied analytics
Key Responsibilities:
Develop machine learning (ML) models using natural language processing (NLP) that will be integrated into our automated processesServe as a technical leader providing insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverablesWork with cross-functional team members to identify and prioritize actionable, high-impact insightsUse Python and ML/NLP technologies to perform analytics on content narrative and dialogueSearch through large data sets and transform data to make it more appropriate for analysisExplore data in order to deeply understand the phenomenon being modeled, and the validity and reliability of the inputs.Develop models that can go directly into production, and build working prototypes.Validate models against alternative approaches, expected and observed outcome, and numerous directly and indirectly relevant business defined key performance indicators.Review models of peers for the purpose of reducing and managing risk to the business, and maximizing improvement of business practice and customer experience.Build processes to provide business stakeholders timely, relevant insights, scenarios and recommendations.
Ideal Candidate will have :
Master’s degree or similar level experience in Data Science, Machine Learning, Mathematics, Computer Science, Statistics, or another relevant quantitative field3+ years of experience as a Data Scientist/Machine Learning EngineerA strong knowledge of Natural Language Processing (NLP) including experience creating practical models solving problems like contextual emotion detection, converting text into a timeline, aspect-based sentiment analysis, stance detection, co-reference resolution, etc.Proficiency with Python (scikit-learn, SpaCy, NLTK, genism, AllenNLP, etc.)Experience with a deep learning framework (Tensorflow, Pytorch, etc.), deep learning architectures (RNNs, CNNs, Transformers, etc.) and platforms (e.g. Hugging Face)Experience with SQL, databases, and other data management toolsA deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
|
Senior Decision Scientist | Best Buy |
Overview
Full time
Individual Contributor
Digital and Technology Group
This role is remote eligible, which means you would work virtually from home or another non-Best Buy location.The Data Services team mission is to unify data across the enterprise to optimize business decisions made at the strategic, tactical, and operational levels of the organization. We accomplish this by providing an Enterprise Data Warehouse, reporting platform, and business processes that provide quality data, in a timely fashion, from any channel of the company and present them in such a manner as to maximize the value of that data for both internal and external customers.As a Senior Decision Scientist, you are responsible for designing and developing moderate to complex Business Intelligence reporting to facilitate business operations. You will also be part of a team working with new data technologies and tools like Tableau, Alteryx, Spark, Scala, HBase, Hadoop, HDFS, MongoDB and others to provide faster, more accurate, and deeper insights into our products and services. As a member of the growing data services and business analytics team, the person in this role will be a key contributor to the successful deployment of strategic future state capabilities critical for our business. As a Senior on the team, you will coach and mentor less experienced developers in reporting duties.
Responsibilities
Design, develop and test moderate to complex Tableau dashboards and data visualizations.Leverage established guidelines and custom designs to create complex formulas and calculations to meet the needs of the business.Design, develop, and test moderate to complex reports using a variety of tools, which include Tableau, Alteryx, Transact-SQL, SSIS, Stored Procedures and Functions in SQL Server 2014 and later environments. Contribute to the definition and development of the overall reporting roadmap.Translate reporting requirements into reporting models, visualizations and reports by having a strong understanding of the enterprise architecture.Standardize reporting that helps generate efficiencies, optimization and end user standards.Work with minimal guidance to meet or exceed the User expectations by designing effective and maintainable solutions that meet reliability, accuracy and performance standards based on gathered requirements.Integrate dashboards and reports from a variety of sources, assuring that they adhere to data quality, usability and business rule standards.Determine methods and procedures on new or existing requirements and functionality with little to no guidance.Work closely with analysts and data engineers to identify opportunities and assess improvements of our products and services.Drive workshops or training sessions with the business user community to further their knowledge and use of Reporting and Visualization tools. Produce and maintain accurate project documentation. Collaborate with various data providers to resolve dashboard, reporting and data related issues.Perform Data Services reporting benchmarking, enhancements, optimizations, and platform analytics.Develop from strategic and non-strategic data sources including data preparation/ETL and modeling for data visualizations in a self-service platform.Participate in the research, development, and adoption of trends in reporting and analytics.Mentor BI Developers and BI Analysts
Minimum Qualifications
3 or more years of experience in technology, analytics, software or product development, technical architecture or engineering3 or more years creating reports, dashboards, and/or summarizing large amounts of data into actionable intelligence to drive business decisions 3 or more years with MSSQL Server, MySQL, Snowflake, Oracle or PostgreSQL 1 or more years with visual data analysis using tools such as Tableau, Alteryx, PowerBI or other Business Intelligence platforms
Preferred Qualifications
5 years of experience in technology, software or product development, technical architecture or engineering5 or more years creating reports, dashboards, and/or summarizing large amounts of data into actionable intelligence to drive business decisions 5 or more years with MSSQL Server, MySQL, Snowflake, Oracle or PostgreSQL 5 or more years with visual data analysis using tools such as Tableau, Alteryx, PowerBI or other Business Intelligence platforms 5 or more years administrating reporting application platformsExperience with public or hybrid cloud environments are a plus.Experience with big data technologies like Spark, Scala, Kafka, Hbase, Hadoop, HDFS, AVRO, MongoDB and Redshift are a plus.Bachelor's degree in IT, Computer Science, Engineering, or related field OR equivalent combination of education and/or experience
Best Buy is driven to enrich people’s lives through technology. More than ever before, people need technology to connect, work, create, and learn. We provide incredible customer experiences where and when they need us, drawing on our rich legacy of using technology to drive outcomes that delight our customers. Our team of over 5,000 engineers in Digital & Technology fuels the growth and innovation needed to create these exceptional experiences, as the needs and context of our customers change.
You’re likely motivated by this momentum in change and are inspired by what technology can do for people. We are, too! We embrace a culture of rapid experimentation and constantly strive for improvement. You'll work in a collaborative, agile environment—one that fosters inclusion, encourages diversity of thought, and a passion for individual growth and mentoring others. We welcome your industry experience and outside perspectives that will contribute to our ongoing transformation.
Auto Req. ID886895BR
Location Number905010 BBYHealth San Diego CA
Address10945 Vista Sorrento Pkwy Suite 120
CitySan Diego
StateCA
Pay Range$105,600 - $189,100/yr
|
Principal Data Scientist Forecasting | Target |
About Us:
As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.
Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.
Join our global in-house technology team of more than 4,000 engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on diversity and inclusion, experimentation and continuous learning.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.
Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target’s culture, and apply retail domain knowledge.
As a Principal Data Scientist on the Forecasting team, you’ll influence by interacting with Data Sciences leaders, technical leaders outside of Data Sciences, business leaders, and other Data Sciences products leaders. You will perform within the scale and scope of your role by identifying the problem, being the architect of the solution, influencing the portfolio, contributing to Data Sciences’ and Target’s values by modeling, contributing, and elevating the culture. You’ll get the opportunity to use your deep expertise in multiple areas from the following: machine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. As you establish best practices/programming principles and advocate for best software engineering practices, you’ll drive adoption of the latest science methodologies across retail problems. You will perform end-to-end technical architecture for scalable and performant Data Science solutions and integrate patterns into technology applications. You’ll design and drive core data science modules to enable easy re-use across multiple products/models to ensure modeling consistency and determine technology strategy while articulating how technical strategy aligns with business goals. We’ll look for you to help in technology evaluation and selection, as well as in creating technical product architectures, negotiate with Product Managers (PM) to ensure that the team has bandwidth to identify, prioritize and eliminate technical debt, and partner with business teams to translate business challenges into technical solutions. In addition, you will also model the impact of price changes on demand forecasts.
You’ll partner with product/business in identifying the relevant problems to solve in their domain and with other Principals and leaders in identifying and solving for cross-product/domain optimization opportunities. While you serve as a Data Sciences ambassador across the enterprise, we’ll look to you to showcase Data Science capabilities in broader Target forums and technical communities outside Target, invest in mentoring and career growth guidance for individual contributors and future technical leaders, and provide technical guidance to team and to leaders. Through your understanding of what other teams within Data Sciences do, you’ll identify opportunities to drive cross-product efficiencies, understand the dependency between various applications/business processes and opportunities from cross-product optimization and develop deep understanding of multiple product areas that are inter-connected. The exciting part of retail? It’s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 9+ years of professional experience or equivalent industry experience PhD degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) is preferred7+ years of experience in modeling and algorithm designSignificant expertise in linear algebra, statistics, information theory, econometrics, time series modeling, especially in statistical inference, generalized linear models, Markov decision processesHighly proficient in Python, Scala, Kotlin and/or JVM ecosystemDeep understanding of data structures and algorithms Ability to test and measure algorithms/models
Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
The salary range is $119,500-$215,100.
Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.
|
Sr Data Scientist Merchandise | Target |
Join Target’s Data Science team where your goal will be to support Merchandise stakeholders with data science solutions that drive profitability for Target. You will build strong partnerships to ensure trust and understanding of data science insights and model outputs. You will enable continuous innovation and drive business performance through the application of Data Science methods and principles.
A role with Data Science is a chance to help develop our in-house strength for getting the maximum value from Target’s many data assets. We see data as a product and an opportunity to experiment and refine our approach to guest experiences. Together, we positively influence a wide array of merchandising and planning decisions. This is a role for someone passionate about data, problem solving and business strategy.
As a Senior Data Scientist in Data Science you’ll:
Serve as an advocate of our data-driven culture with Product, Business and Engineering to help them utilize insights that’ll direct their efforts towards initiatives with highest impacts.Develop statistical models to drive efficient analysis practices, providing metrics on model performance.Execute solutions to business problems using data analysis, data mining, forecasting, optimization tools, and machine learning techniques and statistics.Analyze and explore data in our Hadoop ecosystem, work with the product manager to design in-product experiments, analyze the results, and provide strategic recommendations.Synthesize analysis and results in compelling storylines and communicate to key stakeholders. You should have the ability to tell a story around the problem, the solution and the impact and value of implementing a solution.Partner closely with our Product Managers and/or business partners to identify gaps in product offering by conducting comprehensive data analysis, and accelerating the analytics maturity (predictive & prescriptive) in key product areas.Define data to be collected for measuring the success of new product features or business strategies, define KPIs, and work with engineering on tracking and instrumentation of data.Strive for query optimization problems on large data sets.Democratize data and insights as you strive to deliver self-service tools to your partners and enable them to make better decisions quicker.
Requirements:
M.S. in Mathematics, Statistics, Physics, Bio Statistics, Operations Research and/or Computer Science3+ years of experience deploying algorithms in a production environmentExperience designing algorithms on a Hadoop ecosystem4+ years of experience using data science and technology approaches to solve real business problemsProficiency at scale with the following: SQL, Python, R, Hadoop, Spark, Hive, visualization software, etc.Understand technical and analytical approaches - predictive modelingExcellent communication skills with the ability to speak to both business and technical teams as well as clearly translate ideas between themComfort with ambiguity and open-ended problems
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado, Connecticut or Nevada residents is $87,600 to $157,700.00 Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.
|
Sr Data Scientist Computer Vision | Target |
JOIN US AS A SENIOR DATA SCIENTIST – COMPUTER VISION
About Us:
The Target Data Sciences - Advanced Machine Learning and Vision team is a fast growing and dynamic team! Our data scientists work to create valuable retail insights through state-of-the-art mathematical models powered by cutting-edge AI technologies. Business teams and leaders - empowered with these insights and solutions, provide joy and ease of everyday shopping to all Target guests!
As a Senior Data Scientist – Computer Vision, you’ll be expected to research and develop software solutions for computer vision, natural language understanding, and other machine learning based products. You will create solutions using Agile practices and DevOps principles. Responsibilities will include model development, designing, programming, debugging and supporting high quality, distributed, large scale software solutions. We’re looking for a highly-motivated research/engineering professional who is a team player and can engage with both technical and business team members.
Key Responsibilities:
Develop classical and deep computer vision models for visual embedding, object detection, segmentation, 3D computer vision, etc.Prototype, design, and own individual components of a larger ML solutionWorkflow management using Oozie, Hadoop, SlurmEmbrace the needs of the customers and stakeholders and take ownershipEnsure that quality of code meets standards and guidelinesCollaborate with internal partner organizations in developing an integrated solutionDevelop AI related software systems using continuous integration and continuous deployment practicesFollow agile methodology for software development and technical documentationInnovate constantly and stay current with latest technologies while focusing on solving problems at hand
Requirements:
MS in Computer Science, Computer Vision or equivalent work experience3 plus years of experience with developing and deploying machine learning models (preferably Computer Vision solutions) in an industrial or academic settingUnderstand application/software development and designAbility to test and measure algorithms Strong leadership, organization, and communication skillsTeam-player with a growth mindset
Preferred qualifications:
PhD in Computer Science, Computer Vision, Image or equivalent work experienceExperience working on Big Data technologies like Hadoop, Spark and Hive and working knowledge of DockerKnowledge and experience with production ready data driven applications that are observable, maintainable, and scalableProficiency in at-least one of the following languages: Python, R, Java or Scala
Why grow your career with Target Data Sciences?
You will work directly on the AI/ML problems that have the most impact on Target's entire Digital/Target.com and Mobile, Supply Chain, Forecasting and Merchandising teams at the grandest scale. We value diversity! We believe that diversity and inclusion is of core importance when we create positive in-store experiences for our guests, and we think it is also critically important when building our teams. Read more about our commitment to diversity and inclusionWe love open source! Many of our team members contribute to open source communities and get to do it during work time. We try to contribute back to our communities where we can and are grateful to be able to open source some of our own projects!
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that is not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times yr.
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado, Connecticut or Nevada residents is $82,000 to $147,000. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.
|
Sr Data Scientist Demand Forecasting | Target |
About us:
Target is an iconic brand, a Fortune 50 company, and one of America’s leading retailers. Target as a tech and data company? Absolutely! We’re the behind-the-scenes powerhouse that fuels Target’s passion and commitment to cutting-edge innovation. We anchor every facet of one of the world’s best-loved retailers with a strong technology framework that relies on the latest tools and technologies—and the brightest people—to deliver incredible value to guests online and in stores. Target’s Tech and Data Sciences teams are on a mission to offer the systems, tools, and support that guests and team members need and deserve. Our high-performing teams balance independence with collaboration and we pride ourselves on being versatile, agile, and creative. We drive industry-leading technologies in support of every angle of the business and help ensure that Target operates smoothly, securely, and reliably from the inside out.
About the role:
As a Senior Data Scientist on the Demand Forecasting team with Target Data Sciences, you’ll develop models and algorithms for our retail business. You’ll work closely with partner team data scientists and Merch business partners to continuously learn more about our business and particularly develop an understanding of the various processes we have in play. You will partner with ML Engineers and Applied Scientists on our partner teams to build solutions for business needs including development, deployment, and maintenance of algorithms and models at scale!
Our team oversees the creation and development of the Demand Forecasting quantitative platform, building the key components which allow us to evaluate the demand and prices of our products and proprietary ‘new ventures’ products. We aim to develop these tools to be more efficient and precise – while also making them directly available to our business team users, allowing us to quickly respond to our Guests’ needs in stores and online.
In this role at Target as a Senior Data Scientist, you’ll:
Change the way demand forecasting and pricing is originated in retail in Target Data SciencesCreate our next generation demand and pricing platform at a Fortune 50 companyWrite code for math/stats models to evaluate demand for millions of items and compute pricesPartner with business users and other scientists / engineers to build a framework allowing us to develop a new platform to more efficiently estimate demand and price on the flyImpact our business by improving our ability to serve our Guests and by directly reducing compute cost through more efficient algorithmsCoordinate the analysis, troubleshooting, and resolution of issues in our software and the broader infrastructure
What we're looking for:
M.S/Ph.D. in Mathematics, Statistics, Operations Research, Economics, Physics, Computer Science, or in a related Mathematical or Computational Engineering major (or equivalent research experience)2+ years of experience in building forecasting models, artificial intelligence models, optimization algorithms or equivalent school experienceProficient in one or more of R, Python, C++, Java, Scala or equivalent programming language Understanding of data structures and algorithms Knowledge of linear algebra, statistics, information theory or related mathematical domains Understand deep learning, dynamic programming, reinforcement learning or related areasAbility to test and measure algorithms Excellent written and verbal communication skills
Bonus Points:
Strong quantitative skills including specific experience with Statistical Inference, Generalized Linear Models, Markov Decision ProcessesExperience working with large event-driven distributed systems and multi-threaded applications.
Why grow your career with Target Data Sciences?
You will work directly on the data science problems that have the most impact on Target's entire supply chain, forecasting and merchandising teams. We value diversity. We believe that diversity and inclusion is of core importance when we try to create positive in-store experiences for our guests, and we think it is also critically important when building our teams. Read more about our commitment to diversity and inclusionWe love open source! Many of our team members contribute to open source communities and get to do it during work time. We try to contribute back to our communities where we can and are grateful to be able to open source some of our own projects! We value our team members for who they are, not just what they can get done. We treat our team members like people, not like cogs in a machine. We are parents, hobbyists, enthusiasts, family members, and community members, and can offer flexibility to our team members' schedules and work arrangements so that they can flourish both inside and outside of work.
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado, Connecticut or Nevada residents is $87,600 to $157,700.00 Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.
|
Lead Data Scientist Digital Marketing | Target |
As a Lead Data Scientist in our Digital and Marketing Core Capabilities team, you will develop machine learning models and algorithms for next-gen capabilities that are cross-cutting to multiple, high impact product areas for Target including Recommendations, Personalization, Search, and Marketing. You will work with business partners, data science product teams, and other data scientists and engineers to gain an understanding of our business needs and technology processes. You will build end-to-end AI/ML solutions to meet those needs, including development, deployment, and maintenance of algorithms and models at the grandest scale!
In this role, you’ll translate your knowledge of deep learning from the fields of Computer Vision and Natural Language Processing into reusable data science assets that impact millions of Target guests on a daily basis. You will get to work with the latest research and technology as your solutions will drive the next generation of guest experiences and business insights with a diverse, global team.
Following are the specific job duties:
Analyze multi-modal data sets to formulate and validate statistical hypotheses and to find patterns and other actionable insightsLeverage your in-depth understanding of modern neural networks (transfer learning, representation learning, multi-task learning, multimodal learning, metric learning) to design and implement application-specific solutionsScale deep learning models to learn from large data sets, work with ML engineers to optimize these models for efficient performanceTest, validate, and deploy these models on modern computer hardware (GPUs, for example)Collaborate with other data scientists and ML engineers to solve high-impact business problems and to create operational efficienciesPartner and closely communicate with internal stakeholders and cross-product teams in stitching together end-to-end technical solutionsFollow agile methodology to build high quality technical productsKeep abreast with the relevant work and research in the industry as well as in academia
About you:
MS or PhD in Computer Science, Applied Mathematics, Statistics, or equivalent quantitative and foundational expertise5+ years of experience in building and optimizing Machine Learning models to solve complex business problemsProficient in Python, R, Java or equivalent programming languageExtensive hands on experience working with modern Deep Learning frameworks: Tensorflow and PyTorchExpert in creating Deep Learning -based NLP and CV modelsTheoretical and practical understanding of modern neural network architectures in transfer learning, representation learning, multi-task learning, multimodal learning, metric learningAble to adopt and modify publicly available Deep Neural Network (DNN) architectures for internal application needsDemonstrated ability to develop large scale ML models and deploy them to productionAbility to test, measure, and monitor performance of algorithms - including in productionDemonstrated experience in working with business teams and in driving value to business through analytical methodsAble to produce reasonable documents/narrative suggesting actionable insightsExcellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narrativesSelf-driven and results oriented; able to meet tight timelinesStrong team player with ability to collaborate effectively across geographies/time zones
About Us:
As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel, and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.
Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.
Join our global in-house technology team of more than 4,000 engineers, data scientists, architects, coaches, and product managers striving to make Target the most convenient, safe, and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on diversity and inclusion, experimentation, and continuous learning.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.
Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target’s culture and apply retail domain knowledge.
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
The salary range is $85,400-$153,700.
Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.
|
Lead Data Scientist Testing Measurement | Target |
About us:
Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.
Behind one of the world’s best loved brands, is a uniquely capable and brilliant team of data analysts, scientists, product owners and engineers. The testing and measurement team drives continuous innovation and business growth through experimentation using testing and measurement philosophy for Target stores, Target.com and Target Mobile. The testing and measurement team plays a key role in identifying, testing and measuring the top growth opportunities at any given time. We are here to help Target improve the guest experience, whether guests shop us in stores, on Target.com or on Target Mobile.
A role with Target’s testing and measurement team is a chance to help develop our in-house strength for quantifying the impact or minimizing the risk for a broad range of initiatives. Sometimes those initiatives are customer-facing as our clients look to optimize their business, but other times we apply advanced analytical methodologies on the internal products and processes our data sciences teams develop. We are in the process of adopting a responsible AI framework this person will champion and teach to others. As such, this role will be independent of modeling teams and will develop an independent perspective measuring possible unintended consequences for a broad range of algorithms.
About the Job:
Partner ConsultationYou’ll work closely with business, analyst, scientist, and teams to identify and prioritize existing models for explorationThis requires someone passionate about data, modern customer prediction methods both online and offline, and the ability to bring objectivity to measuring impacts of current processes
Improve Decision MakingYou’ll define the approach, develop the roadmap and lead ongoing review routinesYou’ll design and deliver insights using a mixture of analytical and visualization techniques
Job duties may change at any time due to business and product needs
About you:
You are an expert in research areas such as measuring bias, ethics governance, artificial intelligence, machine learning, artificial intelligence ethicsYou have deep applied experience with the customer predictive model process, including attribute screening, using 3rd party data attributes and the overall scoring processYou understand how to identify model bias, predictor drift and best practices for reporting on bothYou understand “protected class” predictors, and current industry trends across the data privacy conversation5-7 years of work experience in customer analytics, personalization, consulting, or data engineering rolesExperience with analytics tools such as: DOMO, Hadoop/Hive, R, Python, Spark, and equivalent technologiesBachelor’s degree with strong academic performance in a quantitative field; or strong equivalent experience
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado, Connecticut or Nevada residents is $118,200 to $212,800 Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.
|
Data Science Associate | Pulsedata |
pulseData is changing the way healthcare data is utilized within major healthcare sectors. As a series A health-tech startup, we provide the insights necessary for medical staff to understand who has and is at risk of major chronic illnesses. We have rooted ourselves within the Kidney space, and have the capabilities of bringing our approach to many more patient populations given our capabilities.
We recently raised $16.5M in our series A and are growing fast. This means we are onboarding brilliant people and providing endless areas for our employees to grow their careers. We believe in trust and transparency, and enjoy a remote friendly working environment that promotes collaboration and diversity.
The Role:
In your role as a Data Science Associate, you will use machine learning to deliver insightful and actionable intelligence and predictive solutions to our team to improve Healthcare growth in our business. You will gain experience understanding healthcare and developing data driven solutions to improve care delivery, while working closely with other team members of our Data Science and engineering team to deliver value to our business partners. Aside from supporting our data science model creation and data teams, you'll also assist the product team with growth opportunities.
Qualifications:
Strong communication skills.
Cumulative GPA of 3.5 or higher.
Bachelor/Master Degree students pursuing degrees in data science, statistics, applied math, computer science, engineering or other quantitative fields providing sufficient data science foundations
Exposure to writing code (Python preferred, R and SQL okay), collaboration (Git), developing models (machine learning, boosting & bagging algorithms, &/or regression techniques), and performing predictive analytics testing and evaluation (match case analysis, ANOVA, confidence intervals, experimental design, A/B testing, etc.).
A hunger to learn and work on challenging problems.
Any prior experience working in a startup will be bonus points
Benefits/Perks:
A base between $60-$80k plus bonus
A remote working environment - you'll be working eastern (ET) hours.
Top tier benefits including medical, dental, and vision insurance - 85% of which is covered by pulseData.
Unlimited PTO - so you can stay at your best year round!
Fun gym discounts, a 401k, and a new laptop + equipment.
Company offsite adventures throughout the US each year.
Tons of room for growth and the ability to learn new things.
Chronic Kidney Disease (CKD) is a substantially under-diagnosed condition that affects 37 million people in the US. Today, clinical and care management teams use our platform to identify the most at risk-individuals and proactively deliver care in advance of adverse events, delivering better clinical outcomes at a lower cost. Our clients are risk-bearing healthcare enterprises: ACOs, kidney clinics and nephrology practices, large health systems, managed care and health insurance companies. Together, we use data science to deliver more human care.
pulseData is backed by some of the best investors in the industry, recently raising a $16.5M Series A led by Bain Capital and Two Bear Capital.
|
Data Scientist Healthcare | Closedloop |
About ClosedLoop:
ClosedLoop.ai is healthcare’s data science platform. Purpose-built and dedicated to healthcare, we make it easy for healthcare organizations (HCOs) to use AI to improve outcomes and reduce costs. Our platform combines an intuitive end-to-end machine learning platform with a comprehensive library of healthcare-specific features and model templates.
We’re the leader in delivering unbiased accuracy and explainable AI healthcare solutions. Regardless of whether our customers have extensive data science teams or are just starting out, our products are engineered to help them harness the power of AI to improve patient outcomes, achieve clinical excellence, and enhance business success.
What sets us apart is our commitment and ability to deliver AI solutions at-scale in healthcare. We’re ready to help change the world. Are you? Come join us!
About the Role:
ClosedLoop is looking for a senior, customer-facing Data Scientist to build and deploy predictive models for our healthcare customers. ClosedLoop data scientists utilize our platform and work alongside our customer’s data science teams to deliver machine learning models into real world healthcare settings. In addition to ensuring the quality of the models, you will also help customers understand how to integrate those models into their processes and to measure the effectiveness of the models in production.
What you'll do:
Building predictive models on healthcare data using the ClosedLoop platform.
Work with customer teams to ensure that models are deployed and integrated into real world decisions.
Cleaning and vetting of a wide variety of healthcare data (claims, medical records, labs, ADT, etc) using the ClosedLoop platform.
Train and educate customer data scientists on best practices for data science in healthcare.
Create presentations and present model results to both technical and non-technical audiences
Make suggestions and provide commentary to the product management and engineering teams on how to improve the platform.
What you'll bring:
Bachelors or higher in Computer Science or related experience
5+ years of engineering experience with Python
Prior experience with healthcare data science required
Prior experience working in a customer facing consulting position
Understanding of machine learning and statistical analysis
Why ClosedLoop:
Competitive salary
Equity
401K
100% company-paid health insurance for medical, dental, and vision for employees and their families
Flexible PTO
Remote work
Employee Testimonials:
"Exciting place to work! - Company has a great vision for the role of machine learning (and AI) in healthcare. Exciting to go to work every morning!"
"Work Hard and Feel Rewarded - The CEO and CTO have total faith in their team, and the employees ideas and opinions are highly respected and listened to. The passion for our company's mission is contagious from the executive team, which makes our high standards fair and rewarding."
"Room to thrive"
"Passionate People, Supportive Environment, & Strong Vision"
|
Senior Data Scientist | Shift |
Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy. You will have an opportunity to innovate. We move fast, have fun, and help each other out.
We’re looking for an experienced Sr. Data Scientist to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning.
What You Will Do:
Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps.
Demonstrate best practices while delivering high quality results to business.
Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents.
Participate in build v buy decisions.
Participate in technical design, project planning and lead development of critical projects.
What You Will Bring:
Passion for data, technology and people.
PhD or Master's Degree in Computer Science, Mathematics, Neuroscience, Computational Biology, or Econometrics.
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents.
Strong analytical capabilities to translate business problems into data science problems and implemented solutions.
Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others.
Experience with deploying to AWS SageMaker.
Mentored junior data scientists, led projects to the finishing line.
Strong experience in SQL and programming in Python or R.
Strong mathematical background or computer science.
Advanced ability to perform exploratory data analysis.
Expert in Statistical Studies.
Preferred Skills and Experience:
Databrick experience.
Redshift experience.
Experience with monitoring, instrumentation tech, and vendor know-how (Segment, New Relic, Datadog, Pingdom and/or PagerDuty).
Experience with Product Analytics like Google Analytics and/or Amplitude.
About Shift
We’re a tech company who has built an e-commerce marketplace for customers to buy and sell used cars, all while having an experience that is fun, fair and accessible. We’ve set out to transform a huge industry using cutting-edge technology, and bring transparency and convenience to the car buying and selling process.
We aren’t stopping there. We bring that same transparency and convenience to car ownership too, with payments, maintenance, and insurance in one easy app. At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go.
Shift is an Equal Employment Opportunity Employer
Shift is an equal opportunity employer. Shift prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Shift conforms to the spirit as well as to the letter of all applicable laws and regulations.
|
Senior Data Scientist | Moz |
Description
The Moz Group Data Engineering teams are looking for an experienced Data Scientist with a strong Python background. This position will work from an engineering perspective with both the engineering and product teams to improve data modeling within our services and products. The ideal candidate will have experience using a broad set of statistical and machine learning techniques including supervised / unsupervised data sets and NLP.
Responsibilities
Comfortable learning Moz's SEO domain, creating appropriate models, and working with engineering and product teams to see those models implemented and released in the context of a standard framework, e.g. Spark or HadoopComfortable engaging with both engineering and product teams to educate them on data science topics, identify opportunities to apply data science to further our business and operational objectives, and advocate for action based on these identified opportunities
Technologies
Python Cloud providers, e.g. AWSPrototyping, e.g. Jupyter NotebookFrameworks, e.g. Spark, Hadoop, pandas
Data Science Skills
ForecastingInferential statisticsRegression / classificationNLP, e.g. Word2Vec
About the Moz Group
The Moz Group, a subsidiary of Ziff Davis, Inc (NASDAQ: ZD), is a leading provider of marketing technology solutions primarily for small and medium-sized enterprises that empowers businesses to engage their customers digitally and grow their revenue by leveraging the power of online search, email, voice, and text communications.
About Ziff Davis
At Ziff Davis, we work in a culture of collaboration and welcome those who desire to join our growing global community. We seek enthusiastic individuals with an entrepreneurial spirit looking for and environment that rewards your best work.
Ziff Davis offers competitive salaries, health benefits, and company-sponsored events. If you are seeking a dynamic work environment where you can see the direct impact of your performance, then Ziff Davis is the place for you. We offer a fun and friendly working environment where individuals are given the opportunity to learn, grown and build on their skills.#Moz
|
Sr Principal Data Scientist Telecommute | United Health Group |
Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. Join us and start doing your life's best work.(sm)
Join our Personalization Team, as a Principal Data Scientist, which works on solving recommendations, ranking, user condition predictions, and search problems. We are KPIs driven team that leverages Machine Learning (ML) to provide a personalized experience. In this team, you would work with brilliant data scientists and engineers to build end-to-end solutions to meet product needs. We are also very passionate about our engineering excellence and pride ourselves of releasing solid solutions to production. We leverage state of art machine learning and strive for low latency solutions.
You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Apply advanced statistical and predictive modeling techniques to data related to the optimization of healthcare and digital experiences Propose innovative ways to look at problems using data mining, statistical analysis and machine learning Communicate findings, verbally and visually, to business partners and clients Seek out new data sources and verify integrity of data that fill gaps and improve models Support business needs around analytics, predictive modeling and business intelligence Collaborate effectively with internal clients, transforming their needs into data science use cases Provide on-going tracking and monitoring of performance of statistical models and recommend ongoing improvements to methods and algorithms
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
Master’s degree in computer science, applied mathematics, (bio) statistics, applied statistics, economics, or similar quantitative fields of study Hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques Skilled in python, tensorflow, pytorch and/or pyspark Ability to translate business need and requirements into technical solutions Ability to turn state-of-art research into production level codes.
Preferred Qualifications:
Ph.D. degree in computer science, applied mathematics, (bio) statistics, applied statistics, economics, or similar quantitative fields of study Experience in developing and deploying models related to recommender system, NLP and time series forecasting Experience in developing algorithms for search engines (e.g. name entity recognition, intent classification, spell correction, autocompletion), cold-start recommendation, semi-supervised learning (e.g. positive unlabeled learning) Solid analytical and problem-solving skills
To protect the health and safety of our workforce, patients and communities we serve, UnitedHealth Group and its affiliate companies require all employees to disclose COVID-19 vaccination status prior to beginning employment. In addition, some roles and locations require full COVID-19 vaccination, including boosters, as an essential job function. UnitedHealth Group adheres to all federal, state and local COVID-19 vaccination regulations as well as all client COVID-19 vaccination requirements and will obtain the necessary information from candidates prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation. Failure to meet the vaccination requirement may result in rescission of an employment offer or termination of employment
Technology Careers with Optum. Information and technology have amazing power to transform the health care industry and improve people's lives. This is where it's happening. This is where you'll help solve the problems that have never been solved. We're freeing information so it can be used safely and securely wherever it's needed. We're creating the very best ideas that can most easily be put into action to help our clients improve the quality of care and lower costs for millions. This is where the best and the brightest work together to make positive change a reality. This is the place to do your life's best work.(sm)
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado residents is $113,500 to $218,100. The salary range for Connecticut / Nevada residents is $113,500 to $218,100. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
|
Staff Applied Research Scientist Prediction | Cruise |
We’re Cruise, a self-driving service designed for the cities we love.
We’re building the world’s most advanced, self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there’s an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, join us.
Prediction Teams at Cruise are responsible for developing machine learning models to create a probabilistic representation of the world surrounding our vehicles to safely and effectively maneuver them around cities. Moreover, the team you build and grow will solve exciting challenges around what different agents (like other cars, buses, animals, pedestrians) are going to do in the next few seconds, their future paths, and how all those elements and more affect one another. You will work closely with our perception and robotics team to get the data you need from a variety of sensors, simulation data, and high-fidelity maps.
As a Staff Applied Research Scientist, you drive the research projects that address the everyday challenges that happen on urban roads, ones that do not have standard solutions available. On a day-to-day basis, you will:
What you’ll be doing:
Formulate problems; initiate and lead technical projectsExplore, prototype, validate, and iterate new algorithmsSupport productizing and deploying solutions to robot carsConsidered one of the technical leaders of the department who guides current and future technology choicesHave a deep understanding of the business and operational impact for different technology tradeoffs, and able to balance effectively based on company’s needEnable others engineers on the team to be more effective through design and code that is easy to extend and contribute intoCapable of influencing others and building consensus even over contentious technical debates
What you must have:
PhD / MS degree in machine learning or a related field with research publications in top conferences or journals; alternatively equivalent years of industry experience solving ML problems without readily-available solutionsExtensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch Extensive experience with machine learning and classification Strong programming skills in Python or C++Excellent mathematical reasoning skills, especially with probability Passionate about self driving car technology and its impact on the world!
Bonus points!
Experience with ROS, OpenCV, Gazebo, or PCLExperience with CUDATrack record in deploying prediction models into real world environmentsExperience with autonomous driving technologies
Why Cruise?
Our benefits are here to support the whole you:
Competitive salary and benefits
401(k) Cruise matching program
Medical / dental / vision, AD+D and Life
One Medical membership
Subsidized mental health benefits
Flexible vacation and company paid holidays
Healthy meals and snacks provided for non-remote employees
Paid parental, jury duty, bereavement, family care and medical leave
Fertility Benefits
Dependent Care Flexible Spending Account, subsidized by Cruise
Flexible Spending Account
Monthly wellness stipend
Pre-tax Commuter Benefit Plan for non-remote employees
CruiseFlex - a working policy for US-Based Cruisers that lets you and your manager find what working style is best for you, whether it’s primarily in-person, primarily at home or a combination of home and in-office time.
We’re Integrated
Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.
We’re Funded
GM, Honda, Microsoft, T. Rowe Price & Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.
We’re Independent
We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the edge of technology, but also define it.
We’re Vested
You won’t just own your work here, you’ll have the potential to own equity in Cruise, too. We are competing in a market that is projected to grow exponentially, which gives our company valuation room to grow.
Recurring Liquidity Opportunity (RLO) - a unique equity program where employees, both current and former, have the option to sell any amount of their vested equity on a recurring basis, currently quarterly.
Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives.
We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.
Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email [email protected].
We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives.
Vaccine Mandate.
At Cruise, we’re tasked with leading in the communities we serve — and doing our part to help keep our communities and our teams safe. Our #StaySafe culture transcends and informs all we do, and because of this, as of October 31, 2021 Cruise will be mandating COVID-19 vaccinations for all US-based Cruisers who need or want to access any of our US Cruise facilities and engage in any business travel — including attending any in-person Company-sponsored event.
If you are unable to get a vaccine due to a medical condition, disability, or a strongly-held religious belief, Cruise will consider requests for an accommodation.
Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners.
|
Staff Data Scientist | Teachers Pay Teachers |
About Us:
We believe teachers have one of the most vital jobs in the world, and we’re here to support them. What began as a word-of-mouth marketplace where teachers could buy and sell educational resources is now a teacher-powered digital learning platform. Our community of 7M+ educators relies on us for engaging, accessible, classroom-ready materials—and we rely on our team members to continue developing solutions that improve the lives of teachers, students, and, ultimately, the state of education itself.
Role:
As a Staff Data Scientist, you are embedded on a Product team, working with product managers, engineers, data analysts, and business teams, and using your curiosity, creativity, and statistical skills to find valuable insights about our marketplace, our systems, and our users.You use techniques such as statistical modeling, machine learning, natural language processing, and data visualization to explore data, test hypotheses, identify underlying causes and patterns, and find the best ways to turn these insights into better decisions and product improvements. You actively support the success of other Data Scientists, ensuring that the team’s projects and processes are focused, on track, and high quality and that partnerships with other teams are effective and coordinated. You actively work to advance the role of data science within our products and business, and advance the capabilities of the data science team.
Responsibilities:
Provides technical support for data science projects owned by the team, as well as mentorship and guidance to the members of the team, and provides technical leadership within at least one area of expertise
Understands latest developments in data science, and can apply them to the team’s work when appropriate. Enrich the team through sharing recent advances in data science research.
Drives company-wide impact and informs strategic decision-making by generating and testing hypotheses, surfacing insights, and building models.
Collaborates with stakeholder teams on projects, asking clear questions to gain understanding of their challenges and decisions, and proposing impactful research plans.
Partners with other research and analysis teams at TpT to extend our culture and practice of learning, institutional knowledge, and domain expertise.
Delivers compelling reports, presentations and materials on the results of research that can be easily understood by non-technical audiences.
Analyzes data quality issues, identifying root causes and remedies.
Helps to recruit new team members by conducting interviews that assess a candidates’ technical ability and demonstration of our values.
Qualities of a successful candidate:
A track record of value-creation in previous organizations, using data science techniques to model and explain user behavior
Advanced knowledge of SQL and Python for data science, including reproducible research tools and processes, data exploration and visualization, and statistical modeling.
A deep understanding of statistical methods and practices, including experimentation, advanced regression and probabilistic modeling.
Able to choose machine learning models, train and tune them with good practices, extract insights, and suggest opportunities to productionize them.
Outstanding communications skills, including the ability to speak clearly to technical and nontechnical audiences, present insights to groups, and to write clear, concise research results and summaries.
Able to keep complex projects on track and focused on value-creation.
5+ years of industry experience on an insights-focused data science team.
Extra Credit For:
Experience with Ed-Tech or e-commerce marketplaces
Experience with Search and Recommendations systems
Open source contributor or active in your professional community
Benefits & Perks:
At TpT, we believe the positive experience of employees is essential to growth, both individually and collectively. To achieve our mission of ‘Empowering Educators to Teach at Their Best,’ we must also empower the members of our TpT Team to work at their best. To that end, two of our core company values are “We Learn and Grow Together” and “We Enjoy the Journey.” We’ve committed to these values and to our employees through investing in added benefits and perks:
Comprehensive Medical, Vision & Dental Benefits
Free Telemedicine Membership - 24/7 access to trusted medical advisors
Generous PTO and Wellness Days
5 Week “Recharge Leave” after 5 Years, to refresh and celebrate the impact you’ve had at TpT
Generous Parental Leave (for new parents) for time to adjust to parenthood, plus additional six weeks for the birth parent
‘Employee Resource Groups’ (ERGs) to promote employee inclusivity and belonging
Engineering Learning Fridays (ELF), to provide a space each week for Engineering teams to collaborate and learn from each other
‘Professional Development’ Stipend, to support the professional growth of employees (including - but not limited to - subscriptions, books, lectures, etc.)
Annual Company Events (Camp TpT, Field Day, Hackathons, Holiday Party, Summer Picnic, Classroom Visits, etc.)
Here at TpT we value Diversity & Inclusion and encourage people to bring their most authentic selves to work. We cultivate an environment where people are recognized and celebrated for their individuality.
Any TpT applicant who requires reasonable accommodations during the interview process should contact the TpT People Ops Team ([email protected]) to make the need for an accommodation known.
Finally, if you’re a California resident, California law requires that we provide you notice about the collection and use of your personal information. We encourage you to read it carefully. You can find our full notice here.
|
Data Scientist | Donut |
At Donut we are on a mission to create more trusting, collaborative, and successful work relationships. We believe genuine relationships are the key to being engaged, happy, and successful at work.
Donut came together over a shared passion to help people connect, and the insight that strong relationships at work are the bedrock of a successful team. Employees who feel socially connected to their coworkers express greater individual purpose and fulfillment, less workplace loneliness and isolation, and improved performance and productivity. We are building a company that embodies those ideals while instilling them in others.
How we work:
Our small, fully remote product, design, and engineering team is filled with empathetic and caring individuals dedicated to unlocking the power of human connection. We’re organized as smaller (three to six person) pods that evolve a few times a year based on our objectives and the addition of new talent. We build new features together in two-week sprints and this cadence aligns with other company rituals. Our core connection hours are 11 a.m. – 5 p.m. ET / 8 a.m. – 2 p.m. PT.
About the role:
We are looking for our first Data Scientist to join our team. To-date, basic data analysis activities have been conducted in Periscope Data dashboards and in Mixpanel by a mix of engineers and people in operations and product/design. As Donut deepens its product capabilities, we are eager to add more and better data-derived insights to our approach for user-centric product development.
This role is all about high impact. If you’re eager to guide big choices, pick low-hanging fruit, and see user and business outcomes quickly, we’ll be a great match. If you’re primarily interested in theoretical ML or deep learning, then Donut is probably not at the right stage for you. This is a chance to apply your analytical craft with a team that respects your work.
Like many startups, we have a near-endless backlog so optimizing prioritization is essential. You’ll have the chance to build things right from the ground up: to make crucial foundational decisions to better incorporate discrete signals in our product development process.
You will report to the VP of product but your scope will follow opportunities wherever they are. This may include analysis, for example, higher in the marketing funnel or overlapping with our customer support organizations’ scopes. We’re a collaborative company so doing the right things for our users is more important than rigid boundaries of roles. (Just for clarity: this is not a euphemism for being immature, disorganized, or chaotic. :)
What you’ll do:
Interpret data, generate hypotheses, draw conclusions, and help establish and refine metrics and dashboards.
Act as an internal consultant for product/design/engineering, marketing, customer, and other operations teams, translate business problems into data analyses and collaborate with counterparts to recommend actions and help prioritize product and engineering work.
Work closely with engineering to ensure the scalability – accuracy, availability, and integrity – of Donut’s data pipeline while also leading foundational choices for data.
Consider trade-offs and select optimal, maintainable paths. This includes data engineering and infrastructure considerations like evolving the data warehouse and selecting other tools and methods.
Advance a healthy, connected, and continuous learning culture across all functional teams.
About you:
Data Expert. You’re passionate about data, analysis, trends, and metrics applied to growth stage businesses. This may come from a background of undergraduate or graduate study in fields such as math, computer science, operations research, economics, statistics, engineering, or other quantitative fields—or equivalent experience in non-academic work (no degree is required for this role). You have at least three years of industry experience in user-facing data science or analytics, especially for SaaS businesses or e-commerce funnels.
Excited to Execute. Eager to get your hands dirty with potentially messy data to uncover product opportunities. Experience working with databases, SQL database queries development and analysis, and potentially other scripting/programming languages (like Python or R).
Foundation Builder. Very comfortable collaborating with engineers to enable access to not-yet available data: creating and improving data engineering / ETL (extract-transform-load), and data infrastructure.
Versatile. Experience in developing analytical models to solve ambiguous business problems, especially across multiple teams or product areas. Knowledge of applied statistical methods (modeling, causal inference), experiment design (hypothesis, A/B and multivariate testing), measurement, and program evaluation. Nice to have: experience with simulation and optimization techniques.
Storyteller. Have distilled interesting insights into compelling, succinct narratives and visualizations that can influence product development and decision making at all levels, technical and non-technical: from customer support and engineering ICs to executive team members and investors.
Our hiring process:
We’re a small team so it may take us a little more time to review your application. Thank you for your patience and understanding!
The salary range for this role is $125,000-$175,000 annually.
Benefits (full-time US employees)
- Medical, Dental, and Vision benefits
- 401(k) with company match
- Diversity, Equity, and Inclusion program
- Unlimited paid time off and 10 company holidays
- Paid family leave
- Monitor stipend
- Home office stipend
- Mental health benefit
About Donut
Donut has made millions of connections and is used by over 20,000 companies. Donut has raised $12M in venture-funding from investors including Accel, Bloomberg Beta, FirstMark, and Slack Fund: https://techcrunch.com/2020/10/29/donut-watercooler/
Donut is an equal-opportunity employer and we value diversity, equity, and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
|
Data Scientist | Amwell |
Company Description
Amwell is a leading telehealth platform in the United States and globally, connecting and enabling providers, insurers, patients, and innovators to deliver greater access to more affordable, higher quality care. Amwell believes that digital care delivery will transform healthcare. The Company offers a single, comprehensive platform to support all telehealth needs from urgent to acute and post-acute care, as well as chronic care management and healthy living. With over a decade of experience, Amwell powers telehealth solutions for over 2,000 hospitals and over 55 health plan partners with over 36,000 employers, covering over 80 million lives.
Brief Overview:
Working closely with cross-functional business partners, the Data Scientist will support development of data assets, statistical analyses, and analytic insights that drive operational performance, client performance, industry knowledge, and product innovation.
The ideal candidate is a self-starter with insatiable curiosity. S/he must be able to proactively identify and lead opportunities to improve processes and deliverables while demonstrating quality and accuracy of data assets and analytic deliverables through close attention to detail and strong follow-through.
Core Responsibilities:
Support development of scalable and automated analytic processes and workflows
Support development of ETL data flows
Ensure quality and accuracy of data
Support development of novel data assets (e.g., data enrichment and integration) and metrics (e.g., feature engineering and data reduction)
Support development of statistical analyses, e.g. exploratory data analysis, unsupervised and supervised learning and statistical modeling (including machine learning)
Support development and deployment of statistical/machine learning models
Support design and execution of experiments
Support initiatives to improve processes for, and quality of, data assets and analytic deliverables
Support development of analytic insight that drive product innovation, operational and client performance, and industry trends
Analyze data for anomalies and early indication of bugs in deliverables
Build intuitive and modern analytic products, including incorporating data visualization best practices
Stay abreast of analytic technologies (e.g., Data lakes and analytics on AWS, R, Python, Looker, Tableau, Power BI, etc.)
Document programming scripts, processes, and deliverables
Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work
Qualifications:
2+ years of experience as a data scientist/applied statistician building advanced statistical and machine learning models
Strong forecasting and modeling experience is required
Intermediate to Advanced proficiency with R is required
Proficiency with Python or other high level data analytic programming languages
2+ years of SQL, including complex queries of multiple data sources
2+ years of developing scalable and automated ETL processes
Knowledge of BI tools (e.g. Tableau, Looker, Domo) is a plus
Capable of working on multiple projects and context shift quickly in a fast-paced environment
Ability to translate incomplete or immature objectives into well- defined requirements
Excellent verbal and written communication
1+ years of experience in the SaaS industry (preferably in a data analyst type role) is a plus
Familiarity with the health care industry is a plus
Additional information
Working at Amwell
We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a go-getter culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic. Amwell is headquartered in Boston, MA with additional offices in Reston, VA and Seattle, WA. In addition to the opportunity to build the future of healthcare technology, we offer:
Unlimited Paid Time Off
401K match
Competitive health, dental and vision insurance plans
The equipment and resources needed to be successful working in a remote setting
|
Senior Data Scientist | Linktree |
In the time it takes you to read this job ad, around 100 new accounts will have signed up to Linktree. Since 2020, Linktree has 🚀 from 4M to over 25M accounts, scaling from 20 team members to over 200. Oh, and our brand has a completely new look and feel.
To learn more about how we work (and get the 101 on our $6K AUD flexible benefits package), keep reading.
P.S. If you don’t tick every box in this ad, please don’t rule yourself out just yet. We’ve seen the research that people from underrepresented backgrounds tend to only apply when the checklist is all ticks. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button!
What You Will Own:
As a Senior Data Scientist at Linktree, you’ll contribute to various data-led initiatives. You’ll work with large volumes of data to develop meaningful insights, and build high-quality machine-learning powered data products that enable our users to make more informed decisions online. The key focus to start with is our linker recommendation system. In collaboration with machine learning and application engineers, you’ll take ownership of delivering solutions end-to-end, empowering linkers to get the most from our product.
When requirements arise you will step up to develop end-to-end analytical products using the tools and techniques, including machine learning and statistical techniques. You’ll be actively focused on building foundations, defining reusable patterns, and automation testing.
With a great level of intellectual curiosity and creativity you’ll innovate to go beyond constraints and current tooling to deliver the best solutions to complex problems. You will have the skill and interest to collect, organise, analyse and present large amounts of information with high attention to detail and accuracy.
What We're Looking For:
4+ years of Data Science Experience
Experience in Python and with some analysis libraries (numpy, scikit-learn, tensor flow, pandas, pytorch) and SQL is a must
Experience working with event-oriented data sets of large size, unstructured events and diverse schemas in cloud databases
Working knowledge of data processing tools/libraries like Dask, Spark, Glue.
Experience with various data science concepts; regression modelling, clustering, classification, optimisation
A deep understanding of feature engineering, feature selection, modelling, evaluation and other practical machine learning techniques hyper-parameter tuning, distributed training, data lineage, drift
Applied ML experience with the Science portion of building end to end data/ML services/solutions in any of the domains such as computer vision, natural language processing, time series analysis
Experience with or interest in operationalising ML and adopting MLOps principles in collaboration with other ML practitioners on the team like ML Engineers and MLOps Engineers.
Some familiarity with AWS services like Lambda, API Gateway, Kinesis, Sagemaker is preferred but not required
Strong analytical and critical thinking skills
High level of attention to detail and accuracy
Strong communication skills – verbal and written – to be able to break down complex topics into simple solutions and ideas.
Strong collaboration mentality.
Passion for growth and scale, and an understanding of the ambiguity that can come with this.
Where & How We Work
We are a global, diverse group across age, gender, and race and offer a truly flexible and family friendly work environment. Kids, pets, and the occasional delivery person are all actively encouraged to appear on our Zoom screens. All of us at Linktree work either fully remote or a hybrid "remote, but in-office sometimes" approach and that will continue even when COVID is behind us.
We currently have offices in Melbourne, Sydney and LA is coming next, but our team is spread across Australia, United States, and New Zealand. Growing from 20 people in early 2020, to 50 in 2021 and over 200 in 2022, Linktree is still growing!
Being globally distributed doesn't mean working to one timezone and we offer autonomy and flexibility in how you structure your days and weeks. There will be the need for some collaboration outside of a "normal" 9-5 being a global company, but we aim to work asynchronously where possible.
Our Culture & Benefits
Linktree's company culture and values are based around collaboration, diversity, inclusion, and flexibility. Those are all nice words but to give you some more specific examples:
- We recognise that each person is unique and have designed our benefits with this in mind. Each person has up to $6000 AUD annually to spend across Wellness, Growth, Lifestyle, and Impact pillars. This could be spent on things like (but not limited to): fitness memberships, development courses, books, childcare, pet insurance, mental health support, bike equipment, travel, or green energy initiatives.
- Employee Stock Option Program - we want each and every employee to share in the company’s success as we go further together.
- We have a paid 18-week parental leave program that is inclusive of birth and non-birthing parents and supports the whole parenting lifecycle. We also offer 4 weeks of paid leave for early pregnancy loss and the full parental leave for later pregnancy loss, in addition to a support program.
- We are proud to offer all regular full-time and part-time employees 20 hours paid volunteering leave per calendar year.
- Flexibility is at the core of Linktree, so whether you prefer fully remote, the office, or a bit of both, the choice is up to you. We trust you to get the work done.
- We have several diversity and inclusion initiatives underway, including a D&I council, training for all staff on neurodiversity, unconscious bias, and the incorporation of a transpositive inclusion policy.
- We prioritise our team's mental health, with all employees having free access to Headspace and Uprise, including 1:1 coaching sessions from qualified psychologists or counsellors.
- All Linktree staff receive $1000 AUD towards setting up their work from home space.
The Linktree Story
We created and defined the “link in bio” category in 2016 to solve a common pain point for creators, brands and businesses: they had no way to consolidate their content and digital identities. The internet was becoming increasingly fragmented, so we launched a simple tool that allows anyone to manage their corner of the digital universe. We’re giving our users control of how the world discovers them – because why should you be defined by only one link?
Fast forward to 2022: Linktree is now used by some of the world’s biggest brands including TikTok, the LA Clippers, The UN Environmental Programme, Manchester United, and Wear it Purple, as well as celebrities including Selena Gomez, Alicia Keys, Shawn Mendes, and Dwayne 'The Rock' Johnson.
With close to 40,000 signups per day (and no sign of stopping), we’re on a mission to empower anyone to curate and grow their digital universe – come join us for this ride!
At Linktree, we celebrate and support everyone’s perspective and background, and we’re proud to be an equal opportunity workplace. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging, because we believe in going further together. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience.
|
Senior Data Scientist Manager | Allstate |
The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Family Summary
Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate. In D3, you’ll be surrounded by 360+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has an equal opportunity to succeed. We strive to hire people from different backgrounds so that we can better serve our diverse customer needs.
Job Summary:
Traditionally, filing an insurance claim consists of a lengthy initial call, followed by a complex experience of several phone calls, emails and paperwork to indemnify the involved parties. This is a time-consuming process and not the type of experience customers have come to expect in 2022. For this reason, Allstate has launched a 3-pronged digital initiative to transform the way that claims are handled:
1. Redesign and simplify the claims process to be customer centric.
2. Provide technology solutions for asynchronous claims handling, allowing customers to interact with Allstate in the manner they prefer, at the time they prefer.
3. Identify and build data science solutions for usage in this new digital process to expedite the handling of the claim and reduce customer effort in completing the process more rapidly.
As a D3 Claims Digital Transformation Manager, you'll be responsible for the data science arm of this transformation. To support this transformation, you'll partner with Allstate teams in solving business problems using data science. You'll work closely with technology and claims to build and execute on a data science roadmap. Claims, technology and data science will work together as one team to accomplish a common goal.
You will lead a diverse team of data scientists, data engineers and business consultants to drive rapid change. In addition to traditional machine learning, your team will also have responsibility for building computer vision and natural language processing models. In the spirit of agile, you will lead the team to quickly develop analytic prototypes, test the prototypes in market, develop the prototypes into full products, deploy the products for widespread usage, and continue iterating on these products.
Key Responsibilities:
Translates vision and strategies into roadmaps and projects
Effectively influences business partner adoption of insights and solutions; demonstrates knowledge of business problems, requirements and context
Develops and delivers communications for complex technical projects to non-technical audiences (appropriate audience, vehicle, level of detail, urgency)
Balance the need for analytic models to be delivered in 2022 while also investing in a pipeline of research for future analytic opportunities.
Ensure proper test and learn of data science models. Also support claims and technology in effective testing of non-analytic changes to the claims process.
Education and Experience:
Bachelor’s Degree or equivalent experience; May also have advanced degree.
Demonstrate a strong background in data science.
Experience managing a large data science team. This includes data scientists and data engineers.
Experience hiring and growing data science talent.
Compensation offered for this role is $119,700 - $180,000 and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
|
Clinical Data Scientist | Q Centrix |
Job Summary:
Q-Centrix has been collecting and building high-value datasets for providers for over a decade, supporting dozens of disease areas and over 1200 hospitals and health systems. Q-Centrix is implementing a robust data infrastructure solution to further advance our mission of unlocking the value of clinical data – building innovative tools, analytics, and research initiatives for the healthcare ecosystem. As part of that journey, we’re hiring.
In this role, you’ll report to the SVP of Real-World Data to interpret clinical datasets across a range of conditions, from cardiovascular to surgery to cancer. This will be to support our customers broadly, in addition to helping to drive a more detailed understanding of the data we have and inform operational workflows.
Clinical data science will be a new discipline at Q-Centrix, and this role will help catalyze this functional area.
Essential Functions:
Supporting feasibility and creation of cohorts based on clinical criteria
Participating in the design of our next generation cross-disease data model
Help in designing and overseeing the development of data quality and control activities
Analyze the robustness of datasets, assessing the research value in different use cases
Help support “data usability” initiatives, including participating in the design and creation of a range of supporting materials for end-users of our datasets
Other Duties: As a growth organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities—these may evolve right along with us!
Required Skills/Abilities:
3-5 years working with life sciences, healthcare, or real-world data companies supporting analysis, biostats, outcomes research, etc.
Experience with relational database
Proficient in SQL and Python or R
You have a familiarity with EMR and/or other clinical datasets
You are comfortable researching clinical concepts and “translating” that to the data, with the support of clinical experts, abstraction experts, and our customers
You are comfortable with the ambiguity that comes from building new initiatives in established companies
You are able to identify problems and associated solutions in the context of a high-velocity, high volume data business
You are able to present analytical results and ideas to a range of technical and non-technical stakeholders
Additional Information:
Preferred Education and Experience: N/A
Supervisory Responsibilities: None
Work Environment/Physical Demands: Continuous sitting and fine manipulation.
Travel Requirements: 5%
Work Authorization: Legally able to work in the United States without sponsorship
At Q-Centrix, we hire people who love learning, value innovation, and believe in our mission and values to improve outcomes in healthcare. We applaud qualified applicants who are accountable and committed to producing quality work. As an Equal Opportunity Employer, we support and value diversity, dignity, and respect in our work environment, and are committed to creating an inclusive environment in which everyone can thrive.
We employ people based on the needs of the business and the job, and their individual professional qualifications. Here’s what does not impact our employment decisions: race, religious creed, religion, color, sex, sexual orientation, pregnancy, parental status, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status, health, marital, civil union or domestic partnership status, or any status or characteristic protected by the laws or regulations in locations where we operate. If you are an individual with a qualified disability and you need accommodation during the interview process, please reach out to your recruiter.
We celebrate and embrace these differences and take pride in our commitment to being an equal opportunity team.
|
Director Ai Products | Hubspot |
HubSpot is the #2 best company to work for on Glassdoor. We’re also scaling in every dimension: users, revenue, people, technology, systems, and more.
We’re looking for a Director of Product to develop and lead the vision and strategy of AI/ML at HubSpot. You will report directly to the GM & VP of Product and build/grow teams of Product Managers and Product Leaders to support the AI strategy.
This is a great opportunity to lead a relatively new, yet highly visible and strategic Product Group at HubSpot. The group already has a talented team of PMs, a strong foundation of AI practices & infrastructure, and a highly successful flagship product (Conversation Intelligence). We need a seasoned Product leader to help expand our AI/ML platform, to greatly increase our portfolio of AI Products, and scale our team of AI PMs. This person will be looked upon to be the vision and voice of AI/ML across HubSpot.
What you’ll do
Establish the vision & strategy for AI/ML across HubSpot’s CRM platform
Build, coach and empower a diverse team of PMs to support the AI/ML strategy
Drive adoption of our flagship AI-based product - Conversation Intelligence
Identify opportunities and launch new flagship AI-based products
Enable other product teams across HubSpot to leverage our AI/ML platform & infrastructure to leverage/integrate AI throughout their products
Represent HubSpot as a thought leader and visionary in AI
Create and foster an inclusive culture
What we are looking for
7+ years experience building and developing medium-to-large teams of high-performing Product Managers and Product Leaders
Deep domain expertise in AI & Machine Learning
Experience building and growing successful, user-facing AI-based products
Experience identifying and launching new products (0→1) and scaling existing products
Experience working with C-level stakeholders, Product, and Engineering leadership to establish and sell a product vision and strategy
Superb written and verbal communication
Data-driven orientation and growth mindset
An obsession for understanding and improving user experience
Ability to build trust, respect, and empathy, and to foster a sense of team and mission
Someone who can add to the culture of the product team and cares about diversity, inclusion and belonging
|
Data Scientist | Evolent Health |
Your Future Evolves Here
Vital Decisions, a division of New Century Health and the newest addition to the Evolent Health portfolio.
We help people facing serious health conditions advocate for the experience they want, feel in control of their medical choices, avoid chaos in a crisis, and improve the quality and value of the care they receive. As part of Evolent Health, we are on a bold mission to change the health of the nation by changing the way health care is delivered. Evolenteers make a difference wherever they are, whether it is at a medical center, in the office, or while working from home across 48 states. We empower you to work from where you work best, which makes juggling careers, families, and social lives so much easier. Through our recognition programs, we also highlight employees who live our values, give back to our communities each year, and are champions for bringing their whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it.
Why We’re Worth the Application:
We continue to grow year over year.
Recognized as a leader in driving important diversity, equity, and inclusion (DE&I) efforts.
Achieved a 100% score two years in a row on the Human Rights Campaign's Corporate Equality Index making us a best place to work for LGBTQ+ equality.
Named to Parity.org’s 2020 list of the best companies for women to advance.
Continued to prioritize the employee experience and achieved an 87% overall engagement score on our last employee survey.
Published an annual DE&I report to share our progress on how we’re building an equitable workplace.
What You’ll Be Doing:
Who You’ll Be Working With:The Data Scientist leads analytic projects and initiatives that support the delivery of Vital Decisions’ services to the right individuals at the right time, ensuring medical care that an individual receives during an advanced illness aligns with the individual’s goals and quality of life priorities over time as one progresses toward end of life. Using data sciences skill sets and advanced quantitative analytic methods, the Data Scientist provides hands on technical expertise in the creation and presenting of analytics and insights that prospectively identify client opportunities, retrospectively demonstrate accurate program performance, and continuously improve program value and impact. The leader in this position will be the first line of analytic support for sales, client services, operations, and organizational leadership, and will have primary accountability for executing and delivering clear and accurate, client-facing return on investment (ROI) and related outcomes plausibility analyses.What You’ll Be Doing:
Return on Investment (ROI)
Manage and meet all Vital Decisions obligations to provide clients with accurate, clear, and timely ROI analyses
Maintain and communicate a calendar of ROI analysis obligations, including interim steps to gather and validate data, internal reviews with key stakeholders, and all other steps required to delivering high quality and timely analyses
Maintain a library and database of all ROI and related outcomes analysis covering individual clients and the Vital Decisions’ book of business as a whole
Develop and maintain current and future ROI code and documentation in support of ROI and related analyses
Develop and maintain best practice language and visualizations that clearly articulate program value and where appropriate, provide additional insights, for communicating ROI results to clients and internal stakeholders
Run ROI analyses, draft and review outcome reports, investigate variances, provide feedback to operations and process owners, and be the subject matter expert internally and externally
Report and address any savings and ROI results that are not within expectation
ID root causes
Report findings and recommendations to ELT
Opportunity Assessment (OA)
Support sales with accurate, clear and timely opportunity assessments for prospective clients – with and the without access to prospect claims data
Maintain and use updated state cost of dying tables based on CMS/Dartmouth and VDI BoB
Maintain and use updated library of VDI case savings rates by client and LOB
Maintain a library and database of all OA analyses delivered to prospects and connected to ROI analyses for prospects that become clients covering individual clients and the Vital Decisions’ book of business as a whole
Develop and maintain OA process documentation including coding used to execute OA and related analyses
Develop and maintain best language and visualizations that clearly articulate program value potential
Run OA analyses, draft and review reports, investigate variances, provide feedback to operations and process owners, and be the subject matter expert internally and externally
Coordinate the mortality model scoring of prospective populations with Informatics or other process owners
Mortality Modeling
Provide project management and thought leadership support to mortality modeling design, development and application for monthly scoring and other operational processes’ execution efforts
Be accountable for contextualizing and communicating mortality modeling outcomes including retrospective analyses and creating death curves for specific populations to continuously evaluate mortality model performance
Identify and manage best approaches for accurate, complete, and timely identification of decedent death date data to support ROI and Mortality Modeling processesProvide Monthly validated death counts by client to CS and ELT based on all available sources (Plan, PBI with VDI validation, Claims, Program, etc.
Maintain with any needed code updates e.g., CPTs, update/retrain as needed, and extend PPV reporting with each CMS data update
End of Life Medical Cost Analysis
Lead, design, and manage research into end-of-life cost drivers, patterns of medical utilization, actionable segmentations and stratifications
Leverage EOL analysis and insights to propose improvements to program targeting methodologies as well as optimization of interventions and other program components
Support the Product and Analytics Road Map
Provide analytics input and leadership to support and drive initiatives on the Vital Decisions Product and Analytics Road Map
Provide general analytic and project management process expertise and leadership across the organization especially including requests for support from the senior leadership team
Produce Value and Impact tables and presentations to fully meet client obligations and CS needs (compliant to contract, accurate, clear, timely)
Support & drive ad hoc analytic opportunities and requests to drive business growth and improvement.Track and report on requests throughout the year
Thought leadership
Collaborate on white papers and studies suitable for publication
Share outcomes and insights at conferences and other forums
Build and sustain relationships with analytics counterparts at clients, partners and vendors
Keep abreast of industry trends, attend conferences, outside learning and facilitate proactive information sharing to peers at client level
The Experience We Prefer:
Bachelor’s degree or above in Computer Science, Biostatistics, Mathematics, Physics, or related field. Masters or Doctorate level preferred; and/or extensive work-related experience will be considered.
2-5+ years of experience with R, SQL, and Python required.
Proven ability to create data analytics and build models using advanced techniques and tools
Solid programing skills to develop repeatable analytic and reporting processes
Proficiency working with BI and visualization tools
Strong process management, critical thinking, problem solving, and decision making
Excellent verbal, written communication, and presentation skills
Excellent time and priority management to support multiple concurrent initiatives and priorities
Proven leadership or active participation in peer communities
Experience developing content for publications for academic journals
Comfort level and ease presenting analysis, results, and insights to health plan clients including C-suite with confidence and credibility; Up to 50% of this role may be client facing
Project a positive, solutions-oriented attitude along with core company values
Technical Requirements: Currently, Evolent employees work remotely temporarily due to COVID-19. As such, we require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. Evolent Health is committed to the safety and wellbeing of all its employees, partners and patients and complies with all applicable local, state, and federal law regarding COVID health and vaccination requirements. Evolent expects all employees to also comply. We currently require all employees who may voluntarily return to our Evolent offices to be vaccinated and invite all employees regardless of vaccination status to remain working from home. Certain jobs require face-to-face interaction with our providers and patients in client facilities or homes. Employees working in such roles will be required to meet our vaccine requirements without exception or exemption.Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.Compensation Range: The minimum salary for this position is $100,000, plus benefits. Salaries are determined by the skill set required for the position and commensurate with experience and may vary above and below the stated amounts.
|
Senior Scientist I | Cambium Learning |
Job SummaryThe Senior Scientist is an integral part of the machine learning team, which consists of mathematicians, data scientists, psychometricians, linguists, and software engineers. Our team focuses on natural language applications in educational measurement, with key foci in the automated scoring of student responses for both summative and interim assessments, automated feedback for formative assessments, and automated alerting of disturbing content in student responses. Our team uses state-of-the-art deep learning tools and models different modalities (e.g., speech, text) and is responsible for both prototyping and deploying engines and models. This position will either lead or support data design and analytic efforts for our suite of products, work closely with internal and external stakeholders to ensure we meet their needs, write technical reports and contribute to our growing body of research by publishing, and contribute to enhancements of existing products or to new products.Job Responsibilities
Support CAI’s innovation in natural language applications in support of our mission to improve educational outcomes for our students and educators. This includes automated scoring in large scale assessment programs (for writing, speech and other areas of educational measurement), detection of crisis alert content in student writing and the use of ML for feedback in student writing.
Support CAI’s emerging product portfolio to for products that employ state of the art machine learning methods that provide solutions to real world problems in K-12, higher education and other related domains.
Design and implement studies to obtain, score, model, and analyze results for any of CAI’s current natural language applications, including automated scoring, crisis alert detection, and feedback.
Pursue applied research to actively publish and represent CAI’s leadership in this area
Job Requirements
Ph.D. in psychometrics/measurement, NLP, or statistics or related computational field
5+ years professional experience in k-12 assessment
5+ years working with teams of software developers, NLP scientists, and data scientist
Experience in working with client-facing work, including presentations
Established publication record in NLP applications in k-12 assessment
Why Work With Us?When you work with Cambium Assessment, you’ll be helping to design and build inspiring solutions that make a real impact on the online testing industry, as well as the educators and students we support.
Our systems are highly scaled and mission critical serving over a third of all students in grades 3-8 in the United States.
Our web applications are highly interactive and universally accessible.
Our machine scoring methods are driven by artificial intelligence allowing computers to perform such complex operations as grading essays with more accuracy than humans.
Our processes use intensive algorithmic computing allowing a customized experience for each student as the exam adapts real-time based upon answers given.
In the 2021–2022 school year, we delivered more than 100 million online tests, successfully supported peak testing volumes exceeding 1.3 million simultaneous test takers, while ensuring an average response time of less than a tenth of a second. We have the most advanced features of any online testing system, and we continue to push boundaries to improve student performance measurement and enabling educators with actionable insights to drive better overall educational outcomes for our students. To learn more about our organization and the exciting work we do, visit www.cambiumassessment.comAn Equal Opportunity EmployerWe are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.
|
Senior Manager Data Science | Discover |
About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
Responsibilities
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor’s Degree in Analytics, Engineering, Statistics or related field 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
Preferred Qualifications
If we had our say, we’d also look for:
Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
#LI-MJ1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
|
Subsets and Splits