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Senior Data Scientist | Yelp |
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.
This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada.
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 by providing thought leadership in the space
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 5+ 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.
Strong ability to troubleshoot and problem solve business challenges as well as persuade stakeholders to act.
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
Other Requirements:
Vaccination against COVID-19 is not required for this role. We nonetheless encourage all employees to get vaccinated. Employees who are not vaccinated may not visit Yelp’s offices or participate in any in-person work activities, and are not eligible to transfer or be promoted to a role that requires vaccination.
#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, disability, or any other protected status.
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.
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Data Scientist | Bluelabs |
About BlueLabs
BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.
Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, political campaigns, and businesses. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.
About the team:
The Insights division creates and manages the underlying data that drives our day-to-day work. This is a new team at BlueLabs, created to meet our organization’s evolving client base and business needs, to ensure that BlueLabs is providing the most innovative data and analysis to our clients, all while developing and coaching team members to grow and respond to our company’s goals.
Ripple is a proprietary, business-to-business technology product that helps our clients identify, engage, and measure impact on influencers who matter to their causes or brands. You will join a small and growing team of data, engineering, and product professionals to help us solve some exciting and challenging problems and to deploy the next generation of Ripple.
About the role:
Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our internal products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.
In this position you will:
Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services
Build predictive models, tools, and data visualizations
Check data and modeling results for quality and clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Support research development projects and data science project plans for clients and internal initiatives
Strive to support team excellence by documenting processes and evangelizing new approaches
Work both independently and as part of a team to deliver accurate products on short deadlines
Complete such other reasonable tasks as may be assigned by management
What we are seeking:
Experience working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.)
Advanced understanding of a statistical programming language such as R, Python, or Julia
Experience building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Experience creating analytics output within a production-oriented team
Ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
Knowledge of experimental design and causal inference
Experience creating informative and engaging data visualizations using industry leading tools
You have experience using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.
You can apply a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives
You are able to respond to questions from your stakeholders while remaining objective in how you approach their unique challenges. You are able to derive value from imperfect data, but also have the ability to know when to push the emergency stop button.
Recruitment process
We strive to hire efficiently and transparently. We expect to hire this position in October 2022. To get there, we anticipate the successful candidate will complete three (3) interviews and a technical assessment (HR interview 15 minutes; manager interview 45 minutes, and team interview/assessment 60 minutes), all virtually. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied. We often look for explanations of "how or why" so it's helpful to have details ready.
What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:
Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
13 paid holidays
15 weeks paid parental leave
Professional development stipend & tuition reimbursement
Macbook Pro laptop & tech accessories
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Supportive & collaborative culture
Flexible working hours
Remote friendly (within the U.S.)
Pre-tax transportation options for commuting to our office in Washington, DC
Lunches and snacks
And more!
The salary for this position is $80,000 annually.
While we have an office in Washington, DC, we are open to considering candidates from within the U.S.
At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site)
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Principal Data Scientist Developer Productivity | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your 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/or New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Atlassian is looking for a Principal Data Scientist to partner with our Cloud Infrastructure team. We're looking for someone with business instincts, creativity, analytics mastery, and experience working with software engineering teams; someone who is passionate about applying these skills to build a measurement culture connected to business impact.
You'll partner with the Developer Lifecycle (DevLife) team in our Cloud Infrastructure organisation. Cloud Infra develops the cloud components that our engineering teams use to build our products. DevLife enables Atlassian makers to maximise productivity on our Cloud Infrastructure platform; we make it simple for our teams to focus on building great products that unleash the potential of every team. We care about how we make developers more productive (DevProd) and improve their experience building our products. With over 5,000 software engineers, you will have leverage to change our business, and if we're successful, potentially the whole industry. We have the data; we need your skill, your craft, your expertise, your insight, and your guidance.
In this role you will get to:
Work with Product and Engineering Leaders in the Cloud Infrastructure team to identify high impact opportunities for analytics, and align Analytics & Data Science priorities with the team roadmapBuild on our initial efforts to measure Developer Productivity (DevProd), helping connect productivity measures to business-value, moving the Cloud Infrastructure organisation to be more data-drivenPromote a measurement culture and understand the impact of our internal strategy; including designing and analysing experiments and feature launchesEnvision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and other data scientistsShare your high-quality recommendations with multiple levels of leadership to guide impactful decisionsFoster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decision
To be successful in this role, you will have:
Extensive experience applying your analytics skills to identify and lead projects which have had proven impact on strategic and product roadmap decisionsExpertise in SQL and proficiency in another data science programming language (e.g Python, R)An Agile development mindset, appreciating the benefit of constant iteration and improvementExperience working with software and data engineering teams, an understanding of the software development lifecycle, and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems).A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny, dash, Microstrategy)Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers), and creating compelling storiesProject management and prioritisation experience; preferably with Data Engineering, Product Management, and Software Engineering teamsExperience using statistics as part of your roleA degree in a quantitative discipline (e.g. statistics, mathematics, physics, engineering, computer science, econometrics)
It's a bonus, but not required, if you have:
Previously worked in global teams and high-growth businessesExperience developing apps and working with Cloud Infrastructure software componentsAdvanced degree (Masters, PhD) in Computer Science, Mathematics, Statistics or other STEM fieldAn understanding of SaaS development, business model and metricsExperience building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science community
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Principal Data Scientist Customer Analytics | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
The Customer Analytics team at Atlassian delivers insights about our customers throughout their lifecycle with Atlassian. We define and maintain a customer health score, provide insights on customer engagement, build and deploy models to predict potential churn and expansion. We design analytical frameworks to understand different parts of the customer journey, work to help customers get more value from our product suite and develop insights on the multi-year effort to transition server customers to Cloud. This team partners with other analytics teams and plays a huge role in important programs improving the business.
We are a collaborative team with a high bar for analytical rigor, and we love to have fun along the way.
We are looking for a top-tier data scientist to be an important contributor to the customer analytics team.
What you'll do
You will help build customer profiles and deliver meaningful insights to improve the efficacy of go-to-market (GTM) and Product programsYou will partner with Atlassian's Enterprise Growth, Product Analytics and Customer Success teams to improve Onboarding, Adoption, Expansion and Retention across our product portfolioInvolved in identifying positive and negative triggers related to product usage and workflows, coming up with data-driven recommendations for programs, defining evaluation metrics, designing experiments, analyzing results to understand the efficacy of the projects and building interactive dashboards to track and understand progressBe a partner to the Enterprise Growth and CSI team and work with the broader Analytics organization to deliver customer insightsYou will mentor senior data scientists and independently guide work with product managers
Your background
9+ years of experience in analytics or related fieldsExpertise in SQL and proficiency in another data programming language (Python, R)Ability to create raw data and analysis into well-written contentExperience designing and analyzing experiments that impact product decisionsPassionate about customer experience, and customer analytics as a craftAbility to share analyses and recommendations to non-technical audiencesUnderstanding of machine learning techniques such as Regression, Clustering, Decision Trees, Gradient Boosting Machines
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Machine Learning Scientist | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian is looking for a Machine Learning Scientist specializing in paid user acquisition to join our Core Machine Learning team based in Mountain View, CA. The Core Machine Learning team builds and deploys ML modeling solutions to improve revenue and increase our active user base. This is accomplished by driving the complete end-to-end ML development cycle. We offer a unique opportunity to work in a collaborative environment, implementing the latest machine learning techniques, including NLP modeling, to solve tough, yet unique problems in the marketing space.
Your future team
The Core Machine Learning team at Atlassian is an agile team of machine learning scientists and engineers. It works cross-functionally across the organization and provides machine learning infrastructure and modeling applications to the business and partner analytics teams, with the tasks to pursue machine learning opportunities that generate revenue or user base improvements. The team is split geographically between the US and Sydney, supporting stakeholders across the regions. The team is highly nimble, with a focus on velocity between conceptualization and initial output, and on business impact.
On the first day, we'll expect you to have
Bachelor or higher degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)Industry or academic experience in the data science or machine learning domainExpertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)Explain data science and machine learning concepts to diverse audiences and create a compelling storyAgile development mindset, appreciating the benefit of constant iteration and improvement
It's Great, But Not Required, If You Have
2+ years of professional experience with developing large-scale machine learning applicationsStrong knowledge of statistics, machine learning, and NLPExperience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B spaceExperience with end-to-end software development life-cycle
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Head Of Bi And Strategic Analytics Css | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Do you get excited by the challenge of scaling a fast-growing company through analytics insight and data science solutions? Do you find it rewarding to navigate through complexity and problems nobody has had solutions for? Are you enthusiastic about experimentation, fast learning and new ideas?
We're looking for someone to grow a motivated team with a passion to solve business problems with advanced analytics. You and your team will be the strategic partners with senior business leaders, identify opportunities and problems, test hypotheses, build analytics and data science solutions, and surface insights to lead transformative changes.
More about you:
You have a background in applied statistics, economics or a related quantitative field.You are comfortable with complexity, and you have experience working with senior leaders and multiple teams.You have expertise in using data science to guide understanding, progression, insights for large organizations.
In this role you will get to:
Lead a team of BI developers and data scientists that provide operational metrics, strategic insights, and ad hoc analysis to promote decision-making at executive level of CSS.Partner with CSS executives and collaborate with team members to determine the right KPIs, information and insights that increases the efficiency of CSS.Lead senior managersPartner with teams to lead transformative projects and make impact.Be the expert to build analytics strategy, provide transparency of roadmap, and lead sprint planning.Build shared vision, empower a team of missionaries, and deliver high quality outcomes.Create relevant analytics insights, build data science solutions, and measure the impact.Manage roadmaps, sprint planning, partner engagement, and remove blockers when needed.Share complex ideas simply, advocate team's work and coach data storytelling.
On your first day, we'll expect you to have:
8+ years experience of management experience15+ years experience in business intelligence, data engineering and data science fieldSuccess at hiring and growing a global team remotelyHelp your team identify the right problem to solve when there is complexitySuccess at building a culture of data-informed decision-making, fast learning, and progressA technical background in visualization tools such as Tableau, 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
More about our team:
We are a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other always to improve our work and ask hard questions. We're direct, and demand excellence, but there's laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We're constantly learning new things.
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Data Scientist | Nielsen |
Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.
Data Scientist (Remote)
Reports to: Manager
Business unit: Data Science
Location: Remote
The Nielsen Company is the largest global measurement company in the world with unique measurement technologies, assets, and data that make it one of the most interesting and challenging places for a data scientist to work. We focus on what consumers watch, listen to, and buy in over 95 countries worldwide. Data Science is core to what Nielsen does, and our research projects have high visibility in directly impacting the results of our business and our clients. This Data Scientist role in the Digital Product team provides an opportunity to contribute to methodological innovation in the exciting and fast-changing world of digital media measurement. This is an ideal position to grow as a researcher and engineer, contribute to innovative methodologies capable of scaling across Nielsen’s data assets, and develop subject-matter expertise in digital methodology and cross-platform audience measurement.
Currently, we are seeking a Data Scientist to join one of our cutting edge research teams in the Digital and Advanced TV space. In the quickly evolving privacy landscape of digital data, we have an exciting opportunity working with some of the most influential companies in technology to improve existing methodologies and research and develop entirely new solutions to the problem of audience measurement.
Job Responsibilities
This is a challenging and exciting role that offers exposure to a wide assortment of Nielsen data assets. In this role, you will work directly with cross-functional internal teams to optimize data systems and build them from the ground up. The right candidate will be excited by the prospect of combining Nielsen’s proprietary data assets with their statistical modeling and software development skills to enable the world’s biggest brands to make better and faster decisions. Your responsibilities will include
Work alongside scientists and engineers as the subject matter expert for building machine learning pipelines in our cloud environment.
Driving technical solutions to complex business problems, from lightweight automation to designing and building robust machine learning solutions.
Develop, implement and maintain good programming standards and practices across our analytics codebase.
Independently writing custom Python and SQL code.
Providing research support that leads to the enhancement of existing methodologies or the creation of new methodologies.
Collaborating with Application Development and Technology teams to integrate and test new modules in production pipelines
Requirements
E- Experience in pipeline management (building/debugging/optimizing), software development, and data analysis
E- High fluency in Python and SQLE-
Experience with machine learning techniques and data pipeline/workflow management tools: Airflow, Luigi, etc.
E- Ability to communicate complex results and findings in a clear and concise manner to a wide range of business audiences, both technical and non-technical.
E - Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, Data Science, or other fields with a strong quantitative programming and analytical background
Scope
Budget Responsibility: None
Key interface relationships (internal and external): Internal Technical Teams
Number of employees managed: 0
Number of employees indirectly managed: 0
Number of third party employees (contractors/outsourced) managed: 0
The role is global/regional/ local: Regional/Local
Breadth of functions under management: Other factors indicating size/complexity of role: Must be able to translate business needs into technical solutions
#LI-GR1
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Staff Data Scientist | Fanatics |
Company Overview
Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.
The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.
As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.
At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support. We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.
TECHNICAL EXPERIENCE
· Design, build, assess, deploy, and interpret statistical machine learning models that inform and advance our programs in pricing, odds and trading
· Research novel modeling techniques and methods to identify new trends/opportunities
· Establish best in class experimentation practices to quantify impact of key attributes and events; evangelize data-driven product development by fostering a culture of experimentation and research
COLLABORATION
· Partner with senior management to develop, plan, measure and implement complex initiatives that address issues and align with key objectives
IMPACT
· Capture business requirements for data science solutions and communicate data science output and recommendations to ensure alignment of strategy and project execution that has impact on business strategies
LEADERSHIP/AUTONOMY
· Take on a leadership role across disciplines by serving as the central point of coordination and control in projects to ensure cross-business collaboration
· Graduate degree in statistics, mathematics, economics, computer science or other quantitative disciplines, or extensive relevant experience in machine learning and data science with proven track record to drive innovation and business impact
· Strong strategic thinking, written and verbal communication, and resource prioritization skills
· Experience with risk optimization models, odds compiling and comparison, and other mathematical models systems in a prior role preferred
· Proven track record in building impactful data-driven product features that impact business goals
**Must be open to occasional travel to events and Bet Fanatics offices for various offsite and team meetings.
**If you possess some of these skills but not all of them, we still encourage you to apply!
Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address. For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.
Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.
NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.
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Senior Data Scientist | Karat |
We're Karat, the leader in technical interviewing
Karat’s purpose is to Unlock Opportunity for engineers and companies alike, and our mission is to make every interview predictive, fair, and enjoyable. As the world’s technical hiring expert, we help companies hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a passionate, smart, and committed team, and we want you to join our mission!
Come join our Data team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.
Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.
The experience you will bring
3-5 years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Experience with Python and related data science and machine learning libraries
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
This is a full-time, salaried position. Immigration sponsorship is not available.
Karat is a remote company with employees throughout the United States, Canada, and the United Kingdom. For this position, we are only considering individuals based in the United States.
Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:
Highly competitive salary and stock options
401(k) with company match
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Global Parental Leave (16 weeks paid with additional 8 weeks transition back to work in part-time capacity)
20 paid Company Holidays for 2022
Benefits / Wellness:
Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice
Learn more about us
Statement of Non-Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at [email protected].
Karat is an E-Verify company.
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Staff Data Scientist Algorithms | Airbnb |
Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.
As an ML Data Scientist in the Platform team you will work with a diverse collection of structured and unstructured data to design, build, and support machine learning models. You will collaborate with a strong team of engineers, product managers, designers and operation agents to incorporate these models into scalable and robust systems that enable exceptional product experiences.
The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of Machine Learning practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.
Typical ML challenges include:
Building machine learning models to detect high risk activities like account takeovers, fake contents and fraudulent transactions, or high risk entities like fake accounts or stolen cards.
Developing NLP models to add intelligence to Airbnb's interactions with guests and hosts in messaging, customer service and more.
Utilizing Deep Learning techniques for advanced feature engineering and model building; e.g. how to model for user behavior sequences.
Operate on the cutting edge of modern ML and build novel high-ROI features such as embeddings that can be shared in use cases across the company
Working cross functionally with operations and product teams to define and collect labels for model training; leverage active learning and other human-in-the-loop techniques to improve ML efficiency.
Developing machine learning models to interact with the right users using the right content at the right time through the right marketing channels to optimize Airbnb’s long term business impact, such as Guest Booking Propensity Model, Churn Prediction Model, Guest to Host Propensity Model.
Traits we value for this role include:
Advanced degree in a quantitative field, e.g. Computer Science, Operations Research, Mathematics
6+ years industry experience developing machine learning models at scale
Experience taking research prototypes to production.
Proven ability to design analytical solutions to complex business problems and to partner cross-functional peers to tailor those solutions for the greatest possible impact.
Deep understanding of ML best practices, e.g. skew minimization, A/B testing, feature engineering, model selection), algorithms (eg. gradient boosted trees, deep learning, optimization) and domains (e.g. NLP, computer vision, recommendation, anomaly detection, graph learning)
Strong programming (Python / Scala / Java / C++ or equivalent) and data engineering skills
Utilize OSS ML technologies such as Spark, Airflow, Tensorflow, PyTorch
Versatility to communicate clearly with both technical and non-technical audiences.
Publications or presentations in recognized Machine Learning and Data Mining journals/conferences is a plus.
Benefits
Stock
$2,000 yearly employee travel coupon
Competitive salary
Paid time off
Medical, dental, & vision insurance
Life & disability coverage
401K
Flexible Spending Accounts
Apple equipment
The starting base pay for this role is between $180,000 and $245,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
We are an equal opportunity employer and value diversity 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
Apply now
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Staff Data Scientist Inference Marketing Technology | Airbnb |
Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
About the Team
The Marketing Technology team is responsible for driving host and guest growth. We do this through devising data-driven marketing campaign strategies, reliable campaign delivery platforms, and advanced machine learning models. We build products that allow us to reach more audiences, improve our targeting, and optimize our bidding.
About the Role
We are looking for a Staff Data Scientist to help improve our measurement of brand marketing and develop insights that support how we plan and optimize campaigns. The ideal candidate will have a strong knowledge of causal inference, the ability to work effectively with multiple stakeholders, and an eagerness to improve our measurement and insights. Examples of projects you might work on include leveraging third party data and quasi-experimental methods to estimate the impact of offline media, developing short-term proxies for marketing’s long term impacts, exploring data from digital tests to find actionable insights, or working with the marketing team to improve campaign targeting. If you’re passionate about using your skills to understand and improve the impact of our brand marketing, we want to hear from you.
Responsibilities
Inference: Apply or develop causal inferences methods to estimate the effect of Airbnb’s offline advertising
Experimentation: Design and analyze experiments to measure the effectiveness of our digital marketing spend
Insights: Generate insights about customer segments and the company's most valuable guests to improve ad effectiveness and optimize spend
Communication: Work closely with a range of stakeholders to design and implement measurement of brand marketing campaigns
Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights
Required Qualifications
8+ years industry experience in a quantitative analysis role (6+ years with PhD degree)
Strong knowledge of causal inference and experimentation
Skilled in statistical programming (Python or R) and database usage (SQL)
Ability to solve business problems using appropriate methods and models
Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact
Ability to translate complex findings and results into a compelling narrative
Preferred Qualifications
PhD in Economics, Statistics, Marketing, or related field
Strong knowledge of Bayesian statistics
Passion for marketing and consumer science; a desire to keep up with and find opportunities to apply academic research
The starting base pay for this role is between $152,000 and $203,500. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Apply now
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Senior Data Scientist Algorithms | Airbnb |
Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.
As an ML Data Scientist in the Platform team you will work with a diverse collection of structured and unstructured data to design, build, and support machine learning models. You will collaborate with a strong team of engineers, product managers, designers and operation agents to incorporate these models into scalable and robust systems that enable exceptional product experiences.
The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of Machine Learning practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.
Typical ML challenges include:
Building machine learning models to detect high risk activities like account takeovers, fake contents and fraudulent transactions, or high risk entities like fake accounts or stolen cards.
Developing NLP models to add intelligence to Airbnb's interactions with guests and hosts in messaging, customer service and more.
Utilizing Deep Learning techniques for advanced feature engineering and model building; e.g. how to model for user behavior sequences.
Operate on the cutting edge of modern ML and build novel high-ROI features such as embeddings that can be shared in use cases across the company
Working cross functionally with operations and product teams to define and collect labels for model training; leverage active learning and other human-in-the-loop techniques to improve ML efficiency.
Developing machine learning models to interact with the right users using the right content at the right time through the right marketing channels to optimize Airbnb’s long term business impact, such as Guest Booking Propensity Model, Churn Prediction Model, Guest to Host Propensity Model.
Traits we value for this role include:
Advanced degree in a quantitative field, e.g. Computer Science, Operations Research, Mathematics
2+ years industry experience developing machine learning models at scale
Experience taking research prototypes to production.
Proven ability to design analytical solutions to complex business problems and to partner cross-functional peers to tailor those solutions for the greatest possible impact.
Deep understanding of ML best practices, e.g. skew minimization, A/B testing, feature engineering, model selection), algorithms (eg. gradient boosted trees, deep learning, optimization) and domains (e.g. NLP, computer vision, recommendation, anomaly detection, graph learning)
Strong programming (Python / Scala / Java / C++ or equivalent) and data engineering skills
Utilize OSS ML technologies such as Spark, Airflow, Tensorflow, PyTorch
Versatility to communicate clearly with both technical and non-technical audiences.
Publications or presentations in recognized Machine Learning and Data Mining journals/conferences is a plus.
Benefits
Stock
$2,000 yearly employee travel coupon
Competitive salary
Paid time off
Medical, dental, & vision insurance
Life & disability coverage
401K
Flexible Spending Accounts
Apple equipment
The starting base pay for this role is between $152,000 and $203,500. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
We are an equal opportunity employer and value diversity 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
Apply now
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Senior Manager Data Science | Airbnb |
Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
Trust is at the foundation of every Airbnb experience and as such we aim to make it the most trusted platform in the world. To achieve this goal, the Data Science team relies on a diverse collection of structured and unstructured data to design, build, and support machine learning models to detect and prevent potential negative experiences and fraud attempts.
As a Senior Data Science Manager you will manage a large team and collaborate with a strong team of engineers, product managers, designers and operation agents to build scalable and robust systems to detect, prevent and mitigate fraud on Airbnb. You will be deeply involved in the technical details of building highly available and real-time risk detection services to understand ever evolving attack vectors and to keep Airbnb a safe and trusted community. As a senior leader in Data Science, you will set best practices, architect solutions, design processes and manage a highly skilled team that continues to grow.
Some of the challenges you will face include:
Building machine learning models to detect high risk activities like account takeovers, fake contents and fraudulent transactions, or high risk entities like fake accounts or stolen cards.
Experimentation of new Airbnb product features to deter and mitigate risk.
Working cross functionally with operations and product teams to define and collect labels for model training, optimize effectiveness of manual review, and build self-satisfiable verifications that scale.
Devising optimization models to make optimal business decisions while minimizing risk
Innovating modeling frameworks in this adversarial setup, e.g., how can models collaboratively surface more risks, or how can models adapt to emerging patterns quickly
Building NLP models to detect spam and inappropriate content on the fly.
Utilizing Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behavior sequences, or how can we detect anomalies effectively.
Here are example traits we value:
12+ years industry experience and an advanced degree in a quantitative field
8+ years of management experience in developing machine learning models at scale from inception to business impact.
Understanding of modern machine learning techniques and their mathematical underpinnings, such as classification, clustering, optimization.
Comfortable in SQL and proficiency in one of the tools such as Python, R, etc.
Demonstrated ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution of it
Passion for management and creating opportunities for career growth for team members
Ability to communicate clearly and effectively to cross functional partners of varying technical levels
Relevant trust and fraud mitigation experience is a plus.
The starting base pay for this role is between $210,000 and $260,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits
Apply now
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Sr Data Scientist Us | General Mills |
SENIOR DATA SCIENTIST
OVERVIEW:
Do you see patterns or opportunities that others don’t see? Do you enjoying asking questions and analyzing data to deepen your knowledge? Do you like to challenge historical assumptions and recommend new ways to drive action based on data driven insights? Do you like to find the best way to tackle a problem and share the approach with others? General Mills is seeking a Data Scientist to join a new data science team in Digital and Technology that is tasked with collaborating with and enabling existing functional data science and analytics teams. This team also provides data science expertise and services to advance initiatives around demand forecasting, text classification, operational analytics, and machine learning to name just a few. It is also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.
KEY RESPONSIBILITIES
Develop novel ways to help business partners achieve objectives through analysis and modelling Think outside the box to identify and test new sources of information that unlock new business value Curate and connect external data sets for broad enterprise-wide analytic usageBe a storyteller to explain the ‘why and how’ of your data driven recommendations to cross-functional teams Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal resultsUtilize machine learning to create repeatable, dynamic, and scalable models Have passion to advocate and educate on the value and importance of data driven decision making and analytical methods Identify and develop long-term data science processes, frameworks, tools, and standardsBe a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists
MINIMUM QUALIFICATIONS
6+ years of experience with at least 2 years of relevant experience in Data ScienceComfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights Experience with Python and R, comfortable working with DataFrames Experience in the ECommerce spaceAbility to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc) Experience writing complex SQL queries Understanding of data warehousing and databases is critical Experience with data visualization tools Number sense, ability to identify questionable data, dig in and address it Exemplary organizational skills with attention to detail and accuracy Bias for action with ability to deliver outstanding results through task prioritization and time management Strong communication and collaboration skills to understand customer needs and deliver solutions in alignment with business needs
PREFERRED QUALIFICATIONS
Bachelor’s Degree required; Data Science, Computer Science, Engineering, Math, or Statistics preferred Experience with machine learning Mathematical and statistical background Experience with Hadoop, Hive, and/or Spark
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States will be considered.Relocation or international remote working arrangements (outside of the US) will not be considered.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
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Senior Data Scientist Identity Data Practice | Epsilon |
Job Description
In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities – leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
We prioritize analytical thinking, creativity and computer science skills over ad tech industry experience. If using internet-scale data to drive business impact excites you, and you enjoy the kind of research that starts with a blank sheet of paper that turns ideas into a new technological reality, we want to talk to you.
Responsibilities
Lead and individually contribute to data science and machine learning R&D projectsUse your expertise in data science, machine learning, and computer science to lead research projects and recommend solutions to technology and business problemsInterview candidates for open positions on our teamLead and contribute to projects from early-stage research through development, in consultation with stakeholdersProvide technology leadership to yield innovative differentiating solutionsImplement and optimize state-of-the-art algorithms in distributed environmentsWork with our Engineering teams to integrate your solutions into Epsilon PeopleCloud Digital Media Solutions platformDevelop an understanding of Epsilon PeopleCloud Digital Media Solutions personalization platform and proprietary datasetsParticipate fully in our collaborative approach to research and applications projects
Qualifications
Ph.D. in a computational, mathematical, engineering, or scientific fieldFluency in computer programming, data structures, and algorithm designProven analytic and modeling skills; proficient at implementing, and evaluating accurate and scalable solutions to business problemsProven ability to lead development projects from conception through deploymentProven ability to lead and conduct research projects2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithmsDemonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasetsAbility to gather cross-team project requirements from diverse stakeholders and set expectations for deliverablesVerbal and written communication skills, including the ability to summarize technically complex information for a non-technical audienceOrganizational, motivational, and interpersonal skills
Additional, But Not Required Skills
Spark librariesScala programmingPython programmingSQL queriesExperience with distributed computingExperience with Hadoop and cloud databases
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Manager Statistics | Epsilon |
Job Description
The Analytic Consulting Group partners with both internal and external clients, and data providers, leveraging predictive analytics and advanced statistical techniques to drive strategic thought and effective decision making. The Manager, Statistics is responsible for designing, planning, and managing statistical projects from start to finish.
Responsibilities:
Design, plan, and manage statistical projects from start to finishServe as the statistics lead on projects employing various data analysis techniques and statistical methodologies such as regression analysis (both linear and non-linear), cluster analysis, CHAID, factor analysis/principal component analysis, time series, survival models, experimental designs using SAS and other statistical softwareEnsure the timeliness, quality, and statistical validity of all analyses, output, and presentationsProvide strategic technical direction to cross-functional resources and less-experienced peersManage multiple projects concurrentlyMonitor project progress relative to timeline and scope
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Data Scientist | Backbone |
"Backbone feels as first-party as you could make something that is literally not first-party feel." - TechCrunch
“The way that Backbone unifies gaming experiences across AAA iOS ports like Warzone or Minecraft, Xbox and Playstation Remote Play and now native xCloud games feels like the way of the future for mobile gaming in a way that none of the individual players… [have] managed to get right.” - TechCrunch
Backbone is growing the data team to help discover more insights and build better products from its wealth of gaming data. We are looking for a Data Scientist that has experience leading deep product analysis to uncover insights, crafting robust datasets, and building great data products based on ML/statistical applications.
As one of the first members on the data team, you’ll get to help shape the data team from the ground up, define best data science practices within the organization, and lead explorative analyses to influence the product roadmap.
What you'll be doing
Analyze our vast collection of gaming and product data to discover insights, build models to answer key business questions and address customer problems, and make business recommendations across the company from engineering teams to the CEO
Use SQL and Python to prepare, clean, and transform data into robust datasets
Collaborate with product and engineering to build data-powered features in the Backbone app
Design, create, and maintain data dashboards to help the team make better data-driven decisions
Work with our feature teams to design experiments, define success metrics, and analyze feature performance
What we're looking for
Passion for discovering data insights and high data quality
1-2+ years experience as a Data Scientist, Data Engineer, Data Analyst, or Software Engineer in data
Expert in SQL and Python
Ability to perform data science/analytical investigations to drive business decisions
Ability to communicate effectively to stakeholders of varying technical levels
Ability to define and implement key metrics for both business level objectives as well as feature level goals
Background in computer science and software engineering fundamentals
Remote friendly
Bonus points: See yourself as a Data Generalist with an emphasis on Data Science
Bonus points: Familiarity with dbt, Mode Analytics, and/or Sisu Data
Bonus points: Worked as a Data Scientist on a consumer/mobile product
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Senior Data Scientist | Fountain |
Fountain is enterprise software that accelerates global high volume hiring. Our customers hire millions of hourly workers annually in 78 countries. Job seekers often struggle to get connected with companies seeking hourly workers due to inefficiencies in their hiring processes, and Fountain makes it easier for them to get offers for work quickly. Getting hired fast eases some of the financial instability millions of families face.
Fountain is a Remote-first company that embraces a work from anywhere policy and offers flexibility on location, so our employees feel free to enjoy the world. Fountain is widely trusted by leading organizations, including Chipotle, StitchFix, GoPuff and Just Eat Takeaway.
We just 4.5Xed in valuation in our Series C, which was led by Softbank and B Capital. We plan on keeping this hyper-growth going this year! Come join us on this rocket ship!
In this role you will partner with our internal teams and current customers. Your specialization in Natural Language Processing / Deep Learning to solve a variety of practical challenges in building chatbot. Your deep curiosity and tenacity, combined with business judgment will help you as you build end-to-end products that bring actively contribute to Fountain’s rapid growth.
Reporting to the Director, Data Science, you will have the opportunity to showcase your work to the leadership team.
What you'll be doing:
You will need to analyze problems, design solutions, deploy solutions as inference APIs / pipelines, maintain solutions and improve models
You will have technical discussions with teammates and ML Engineers to get more help with technical challenges and to share your findings with others. You will also share your project updates, timeline estimation and resource requirements with the Product Manager to ensure on-time deliverables
Program using R, Python, Javascript, Java, or C++
Perform big data modeling work: BigQuery, Pig, Scala, Spark
Fish for data: SQL, Pandas, PostgreSQL
Deploy Data Science solutions: Java, Python, C++
Can communicate concisely and persuasively with marketers, engineers and product managers.
What you should bring:
Bachelor’s degree required in Computer Science / Computer Engineering or other relevant fields
Two years working experience with a programming language such as Python
At least one year working experience in Natural Language Processing / Deep Learning related fields
Basic Natural Language Processing techniques, such as Tokenization, Name Entity Recognition, and Text Classification, etc
Familiar with the stat-of-the-art deep models such as BERT, GTP and beyond
Experience in some of the following domains: language model / text classification / text clustering / summarization generation / intent prediction
Familiar with machine translation / knowledge graph / reinforcement learning is a bonus
Significant prior success as a Data, Product, or Decision Scientist working on challenging problems at scale
3+ years of industry experience, with expertise in Data Science, Business Analytics, or Data Analysis
Strong ability to code in Python
Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring
Nice to have:
Advanced graduate degree (e.g., MBA, PhD, etc.)
Amazing Perks & Benefits we provide for our employees include (but are not limited to):
Flexible PTO & Work Hours
"Work from Anywhere" Policy
Comprehensive medical, dental, and vision coverage
HSA & FSA (Medical and Dependent Care)
Life Insurance & STD/LTD
16 Weeks Paid Parental Leave for Birth/Adoption
Wellness/Gym Reimbursement
Phone Stipend
Remote IT/Home Office Stipend
Learning and Development Reimbursements
Fun, interactive and inclusive team-building events, off-sites, and happy hours
401K Plan
Even if you do not meet all the requirements above, we still encourage you to apply for this position. While we try to be thorough with our prerequisites, not everything about you as a candidate can be condensed into a list of bullet points.
We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, socioeconomic status, disability, and veteran status.
*Fountain is proud to be an Equal Opportunity Employer—M/F/D/V*
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Data Scientist Advance Development | Instructure |
At Instructure, we believe in the power of education to improve the lives of learners and educators. Our goal is to expand that power by creating products that simplify learning and personal development, facilitate meaningful relationships between teachers and students, and inspire people to go further in their education and career.
To succeed, we need smart, creative, and passionate people who are excited about solving some of education's hardest challenges. That is where you come in. We are hiring engineers and data scientists to prototype, explore, and experiment with the future of education on our advance development team. Examples of our projects include:
- Using NLP to generate quiz material from course content
- Predicting student success and alerting educators when a student is at-risk
- Prompting students when they are likely to forget an upcoming assignment
- Providing verifiable credentials to students for completed certifications or acquired skills
What you will do
Work with our product strategy team to identify areas of focus
Research possible solutions and build proof-of-concept models
Evangelize new technology and approaches in our engineering organization
Demo prototype solutions and write informal research papers for internal stakeholders
What we look for
Experience with ML tools in Python or R
Ability to solve complex problems requiring in-depth analysis and research
Previous experience building models that rely on large datasets
Strong communication and collaboration skills
Passion for learning and professional development
Desire to work in a team-oriented environment
Get in on all the awesome at Instructure
Competitive salary, equity and 401k.
Medical, dental, disability, and life insurance.
HSA program, vision, voluntary life, and AD&D.
Tuition reimbursement.
Paid time off, 11 paid holidays, and flexible work schedules.
Gym club reimbursements and rewards-based fitness tracking.
iMacs or MacBooksQuarterly hack week, where individuals and teams can experiment and build whatever they want
Yearly internal technology conference
Monthly technology talks
We’ve always believed in hiring the most awesome people and treating them right. We know that the more diverse we are, the more diverse our ideas will be and when we openly welcome those ideas, our environment is better and our business is stronger.
At Instructure we participate in E-Verify and yes, in case you didn’t catch it from the above, we are an Equal Opportunity Employer.
All Instructure employees are required to successfully pass a background check upon being hired.
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Staff Principal Data Scientist Ads Machine Learning | Reddit |
We are looking for a Staff or Principal level Machine Learning Data Scientist to lead the Ads Quality team. You will work closely with engineers and product owners from our Ads team to 1) set up the vision and product strategy of ads quality and relevance, 2) optimize ads delivery and auction systems through utility function design, 3) measure various marketplace tradeoffs. This person is an industry leader in the online ads marketplace optimization domain with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:
Research, design and develop contextual ad relevance models. Reddit ads are a combination of text, image, user and ad engagement attributes. You will use modern deep learning techniques to combine those signals to measure ad quality.
You will design metrics and mechanisms to understand different tradeoffs between user engagement and ad quality. You will develop algorithms that would optimize both ad quality and ad delivery.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations needed for training, testing and productionizing models.
Serve as a thought-partner for product managers, engineering managers and leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
What We Can Expect From You:
Industry leader in online advertising with a focus on ads marketplace
8+ years of experience (for Bachelor’s/Master’s); 6+ years of experience (for Phd) in quantitative/modeling roles
Proficiency in machine learning, statistical modeling, and optimization
Understanding of experimentation and causal inference analyses
Strong analytical and communication skills
Familiarity with at least one of the Deep Learning platforms (e.g. Pytorch, Tensorflow)
Computer vision experience strongly preferred
Strong skills in SQL and programming (Python or R)
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Arity Data Science Manager Insurance | Allstate |
Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
The Team
Our Data Science team is fueled by a passion to impact the future of mobility. We love to find the meaning within the 100’s of billions of miles of driving data we collect each year. We push the boundaries of telematics and transportation by building data and machine learning solutions to power our groundbreaking products. We are a team of data scientists, data engineers, software engineers, and analysts that take full ownership of our use of a variety of languages and techniques and a top-notch technology stack to advance the state of the art for mobility data science. As a part of the team, in collaboration with product owners and other experts, your work will showcase your intelligence and creativity as you solve real problems that will improve transportation and even save lives. Personally, we think that’s pretty game-changing stuff.
The Role
We are seeking a highly motivated and experienced Data Science Manager for our Insurance Segment. You will lead a team of world-class data scientists and analysts dedicated to creating the best insurance telematics solutions in the market. You will help us build the next generation of driving behaviors and the risk models that insurers will use to make prices both more accurate and fairer. Your team will help us find new sources of telematics and figure out how to leverage them alongside existing ones. You will have influence over our mobile capabilities, backend APIs, and many other aspects of our platform.
Rersponsibilities
Be a servant leader for data scientists and analysts through coaching, mentoring and career development
Drive continuous improvement of data science and data engineering practices to create world-class capabilities
Influence the Insurance product strategy and roadmap with your combination of data science expertise and domain experience
Partner with Insurance leaders to translate the roadmap into priorities and tangible tracks of data science and analytics work
Work with stakeholders and your team to ensure all projects have appropriate measures of success, strong acceptance criteria, and good high-level design
Support the Insurance segment in continuing to enhance our culture and effectiveness in operations
Support sales and customer success efforts by demonstrating Arity’s analytics maturity coupled with humility and empathy
Build the Arity technical brand by engaging in conferences, meetups, blogs, and other external public engagements
Drive recruiting by leading efforts to build relationships in the industry, attend career fairs and create strong interviewing pipelines
Qualification
Bachelor’s degree in Geospatial Science, Mathematics, Statistics, Physics, Computer Science, or Engineering, or related quantitative field. A Master’s degree is preferred.
At least 5 years of industry experience in data science or related roles, with at least 2 years working in Insurance or InsurTech.
Good understanding of insurance pricing; actuarial experience is valuable, but not essential.
Respected by peers for their technical prowess in R or Python and other ML frameworks
Solid understanding of principles of predictive analytics, machine learning and BI
Experience managing technical teams of data scientists, data engineers, or data analysts
Experience leading end-to-end data science projects to generate measurable business value, including ideation, development, deployment, and maintenance & monitoring
Ability to envision and articulate radical change through highly innovative thought leadership
Inspires, mentors, and enables team to be bold and deliver high quality work
Comfortable in a fast-paced environment with high ambiguity; inspires others to embrace these conditions
Great interpersonal communicator / collaborator with both technical and non-technical team members
Competitive with themselves while being humble
What’s in it for you?
Generous PTO, and plenty of holidays. Take the time you need to refresh.
Medical, Dental, & Vision.
401k with match, plus a pension.
All jobs at Arity are remote. You want to work from a Florida beach for the summer? We’re all adults – go for it.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Compensation offered for this role is $123,000.00-$169,500.00 per year 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.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Arity.com Instagram Twitter LinkedIn
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
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Arity Data Science Lead Core | Allstate |
Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
The Team
Our Data Science team is fueled by a passion to impact the future of mobility. We love to find the meaning within the 100’s of billions of miles of driving data we collect each year. We push the boundaries of telematics and transportation by building data and machine learning solutions to power our groundbreaking products. We are a team of data scientists, data engineers, software engineers, and analysts that take full ownership of our use of a variety of languages and techniques and a top-notch technology stack to advance the state of the art for mobility data science. As a part of the team, in collaboration with product owners and other experts, your work will showcase your intelligence and creativity as you solve real problems that will improve transportation and even save lives. Personally, we think that’s pretty game-changing stuff.
The Role
We are seeking a highly motivated and experienced Data Science Manager for our Core Telematics Services Segment. You will lead a team of world-class data scientists and analysts dedicated to creating the best telematics data and insights platform in the market. You will help us build the next generation of deep mobility insights by extracting relevant patterns from users’ trip data using machine learning and geospatial techniques. Your team will help us find new sources of telematics data and figure out how to ingest, normalize, and process it at a scale of over 1,000 trips per second with full system observability. You will have influence over our mobile capabilities and build insights that are used across Arity product segments.
Responsibilities
Be a servant leader for data scientists and analysts through coaching, mentoring and career development
Drive continuous improvement of data science and data engineering practices to create world-class capabilities
Influence the Core Telematics Services product strategy and roadmap with your combination of data science expertise and domain experience
Partner with Core Telematics Services leaders to translate the roadmap into priorities and tangible tracks of data science and analytics work
Work with stakeholders and your team to ensure all projects have appropriate measures of success, strong acceptance criteria, and good high-level design
Support the Core Telematics Services segment in continuing to enhance our culture and effectiveness in operations
Support sales and customer success efforts by demonstrating Arity’s analytics maturity coupled with humility and empathy
Build the Arity technical brand by engaging in conferences, meetups, blogs, and other external public engagements
Drive recruiting by leading efforts to build relationships in the industry, attend career fairs and create strong interviewing pipelines
Qualifications
Bachelor’s degree in Geospatial Science, Mathematics, Statistics, Physics, Computer Science, or Engineering, or related quantitative field. A Master’s degree is preferred.
At least 5 years of industry experience in data science or related roles
Geospatial, sensor, or telematics experience is quite valuable, but not required
Respected by peers for their technical prowess in R or Python and other ML frameworks
Solid understanding of principles of predictive analytics, machine learning and BI
Experience managing technical teams of data scientists, data engineers, or data analysts
Experience leading end-to-end data science projects to generate measurable business value, including ideation, development, deployment, and maintenance & monitoring
Ability to envision and articulate radical change through highly innovative thought leadership
Inspires, mentors, and enables team to be bold and deliver high quality work
Comfortable in a fast-paced environment with high ambiguity; inspires others to embrace these conditions
Great interpersonal communicator / collaborator with both technical and non-technical team members
Competitive with themselves while being humble
What’s in it for you?
Generous PTO, and plenty of holidays. Take the time you need to refresh.
Medical, Dental, & Vision.
401k with match, plus a pension.
All jobs at Arity are remote. You want to work from a Florida beach for the summer? We’re all adults – go for it.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Job Description
Compensation offered for this role is $108,000.00-$147,000.00 per year 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.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Arity.com Instagram Twitter LinkedIn
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
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Sr Data Scientist Udemy Business Marketing | Udemy |
About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors. Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world.
The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential.
For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world. UB has more than 10,000 customers and serves the majority of the Fortune 100.
We are proud to be recognized for our world class employee experience:
Business Insider SF: Best Places to Work Bay Area
Built In Colorado: Best Places to Work
Best Workplaces (Great Place to Work List): #1 in Turkey
Certified Best Place to Work: Dublin
Fortune: Change the World Company
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
While the ideal location is San Francisco, we are also able to hire remotely
Sr. Data Scientist, Udemy Business Marketing
The Role:
Udemy is looking for a senior data scientist to partner with our ever growing Udemy for Business (UFB) marketing team. Udemy for Business is a curated solution of business-relevant and technical courses delivered through a simple platform to provide a business’s employees with the most engaging learning experience. Udemy data scientists focus on using a combination of both quantitative methods and business intuition to find actionable insights that drive key business decisions.
As a Senior Data Scientist, you will be partnering with business leaders, marketers, designers, and engineers to identify, scope, and execute on data-driven analyses to drive business decisions. You will serve as a UFB marketing subject matter expert, especially while working with other data scientists, and act as a data evangelist to create a data-driven culture across the company. Success in this role requires a combination of business intuition, practical data analysis experience, and strong communication and collaboration skills.
Here Are Some Questions You Could Be Working On:
How do we measure the effectiveness of different levers to increase the UFB growth funnel?
Which marketing levers help drive learner and administrator engagement?
What can we do to optimize the UFB growth funnel?
How can we segment users to create more customized marketing messaging?
What key metrics can marketing levers help drive?
Here is what you will be doing:
Collaborate with stakeholders to inform business and UFB marketing decisions
Effectively communicate and present to both technical and non-technical audiences
Provide technical mentorship to others
Design and analyze standard experiments and conduct ad hoc analyses
Define metrics and build dashboards to track UFB marketing and business health
Continuously improve the quality and accessibility of data
Knowledge and willingness to use the right tool (a scripted model, a dashboard, a presentation) for each analysis
We Are Excited About You Because You Have:
4+ years of relevant work experience, or 2+ years of relevant work experience with a post-graduate education such as MS or PhD in a quantitative field
Ability to communicate effectively with non-technical stakeholders
Strong business intuition and judgment
Strong level data storytelling and data visualization ability
Broad knowledge of applied statistics, experimental design, and causal inference
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Ability to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
Minimum Salary Requirement: $134,000.00
Vaccine Mandate (US Only)
Udemy is committed to keeping its employees, clients, and communities safe. Accordingly, we require all U.S. employees to be fully vaccinated against COVID-19 if their work requires them to come into a Udemy office or come into close contact with others. If you are unable to get vaccinated due to a medical condition, disability, sincerely-held religious belief, or as otherwise required by applicable law, we will consider requests for accommodation.
Information regarding data privacy is available within theUdemy Careers Privacy Notice.
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Principal Data Scientist Inference | Udemy |
Data Scientist in our Inference track draw on a combination of complex experiments, causal inference methods, and business intuition to find actionable insights that drive key business decisions at Udemy, answering questions such as: what makes a course great? are ratings a reliable signal of course quality in a two-sided marketplace? how should courses be priced to reflect their value? what are the drivers of long-term customer satisfaction? what makes a healthy marketplace and how do we measure it?
As a Data Scientist in our Inference track you will be partnering with business leaders, product managers, marketers, designers, and engineers to identify, scope, and execute on data-driven analyses requiring causal inference to inform business decisions. Success in this role requires a combination of business intuition, broad knowledge and expertise of causal inference methods, practical data analysis experience, and strong communication and collaboration skills.
Note: Inference is one of three data scientist tracks at Udemy (Insights, Inference, and Algorithms). Please refer to those job descriptions for additional context and only apply to one of the three roles.
Responsibilities
Collaborate with stakeholders to inform business direction
Perform data analyses that may require causal inference to surface business insights
Proactively influence prioritization through data-driven insights
Provide technical mentorship to others
Design and analyze complex experiments beyond those of a standard A/B test
Assist other Data Scientists and perform ad hoc analyses when necessary
Build Udemy’s technical brand through talks, blog posts, and publications
Qualifications
6+ years of relevant hands-on industry experience in causal inference/econometrics, decision science, and/or experimental design
Ability to communicate effectively with non-technical stakeholders
Extensive knowledge of applied statistics, experimental design, and causal inference/econometrics
Strong business intuition and judgment
Strong data storytelling and data visualization ability
Proficiency with SQL and 1+ programming languages (e.g., R or Python)
Minimum Salary Expectations: $157,000
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Principal Data Scientist Inference Pricing | Udemy |
Title: Principal Data Scientist, Inference (Pricing)
Location: Remote
About this role
We’re excited to say that this is a fully remote role with eligibility to work anywhere in the United States. While you will get together with your team on a semi-regular basis (monthly or quarterly, depending on the team), we want you to thrive wherever you work best!
About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors. Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world.
The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential.
For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world. UB has more than 10,000 customers and serves the majority of the Fortune 100.
We are proud to be recognized for our world class employee experience:
Business Insider SF: Best Places to Work Bay Area
Built In Colorado: Best Places to Work
Best Workplaces (Great Place to Work List): #1 in Turkey
Certified Best Place to Work: Dublin
Fortune: Change the World Company
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
Vaccine Mandate (US Only)
Udemy is committed to keeping its employees, clients, and communities safe. Accordingly, we require all U.S. employees to be fully vaccinated against COVID-19 if their work requires them to come into a Udemy office or come into close contact with others. If you are unable to get vaccinated due to a medical condition, disability, sincerely-held religious belief, or as otherwise required by applicable law, we will consider requests for accommodation.
Information regarding data privacy is available within theUdemy Careers Privacy Notice.
While the ideal location is San Francisco, we are also able to hire remotely.
Udemy is looking for a Principal Data Scientist for our growing Monetization Decision Science team. This team is a critical partner to the company’s overall Pricing and Promotions teams working on optimizing marketplace pricing to grow the business by delivering the right value to its customers.
Our Montenization Decision Science team relies on quantitative methods and business intuition, and utilize a combination of modeling, experimentation, and causal inference methods to drive pricing related decisions at Udemy.
Here Are Some Questions You Could Be Working On:
What is the right price for a course? When should we make price changes?
How does price sensitivity vary across different markets and course characteristics?
How often and when should we promote courses? What is the right level of discount?
How does pricing in our marketplace impact other lines of our business (e.g. B2B offerings)?
How can we balance between long term and short term effects of price changes?
Here Is What You Will Be Doing:
Be a subject matter expert and thought leader in the area of pricing and promotions
Partner with cross-functional leaders to shape the team’s roadmap and drive execution
Manage the day-to-day operations of the Monetization Decision Science team
Provide both technical and strategic guidance to team members
Develop end-to-end modeling solutions for price optimization, build and maintain relevant data pipelines and workflows
Lead experimentation and causal analysis (beyond standard A/B tests) to support pricing decisions and improve pricing models
Define metrics and build dashboards to track health of the pricing system
Proactively influence prioritization through data-driven insights
Effectively communicate and present to both technical and non-technical audiences
Build Udemy’s technical brand through talks, blog posts, and publications
We Are Excited About You Because You Have:
6+ years of relevant experience preferably in the pricing and promotions domain (or 4+ years with post-graduate education such as MS or PhD.) and a background in statistical/ML modeling, optimization, causal inference/econometrics, and experimental design
Ability to communicate effectively with non-technical stakeholders
Strong business and product intuition as well as judgment
Strong data storytelling and data visualization ability
Strong SQL ability and proficiency with 1+ programming languages (Python strongly preferred)
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously and has strong interest to take ownership and lead while effectively partnering with stakeholders.
Nice To Haves:
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
People leadership experience
Minimum Salary: $157,000 Per Year
We understand that not everyone will match the above qualifications 100%. If your background isn't perfectly aligned but you feel you would be a great addition to the team, we'd love to hear from you.
If you just can’t wait to learn more about Udemy (believe us, we get it!) and the incredible work that our teams are doing, here are a few more resources:
How Udemy Started [video]Udemy on GlassdoorColorado EPEWA Information
Investor Overview
#LI-Remote
#LI-Hybrid
#LI-Onsite
#LI-HC
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Senior Staff Data Scientist Inference | Udemy |
Data Scientist in our Inference track draw on a combination of complex experiments, causal inference methods, and business intuition to find actionable insights that drive key business decisions at Udemy, answering questions such as: what makes a course great? are ratings a reliable signal of course quality in a two-sided marketplace? how should courses be priced to reflect their value? what are the drivers of long-term customer satisfaction? what makes a healthy marketplace and how do we measure it?
As a Data Scientist in our Inference track you will be partnering with business leaders, product managers, marketers, designers, and engineers to identify, scope, and execute on data-driven analyses requiring causal inference to inform business decisions. Success in this role requires a combination of business intuition, broad knowledge and expertise of causal inference methods, practical data analysis experience, and strong communication and collaboration skills.
Note: Inference is one of three data scientist tracks at Udemy (Insights, Inference, and Algorithms). Please refer to those job descriptions for additional context and only apply to one of the three roles.
Responsibilities
Collaborate with stakeholders to inform business direction
Perform data analyses that may require causal inference to surface business insights
Proactively influence prioritization through data-driven insights
Provide technical mentorship to others
Design and analyze complex experiments beyond those of a standard A/B test
Assist other Data Scientists and perform ad hoc analyses when necessary
Build Udemy’s technical brand through talks, blog posts, and publications
Qualifications
5+ years of relevant hands-on industry experience in causal inference/econometrics, decision science, and/or experimental design
Ability to communicate effectively with non-technical stakeholders
Extensive knowledge of applied statistics, experimental design, and causal inference/econometrics
Strong business intuition and judgment
Strong data storytelling and data visualization ability
Proficiency with SQL and 1+ programming languages (e.g., R or Python)
Minimum Salary Expectations: $134,000
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Senior Staff Data Scientist Insights | Udemy |
Description
As a leading destination for learning and teaching online, Udemy strives to create new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. Udemy is looking for data scientists with a combination of quantitative skills- and business intuition to find actionable insights that drive key business decisions.
As a Data Scientist at Udemy, you will be partnering with business leaders, product managers, marketers, designers, and engineers to identify, scope, and execute data-driven analyses to drive business impact. You will serve as a subject matter expert, especially while working with other data scientists and act as a data evangelist to create a data-driven culture across the company. Success in this role requires a combination of business intuition, practical data analysis experience, experimentation acumen, and strong communication and collaboration skills.
Here Is What You Will Be Doing:
Collaborate with stakeholders to inform business decisions
Serve as a subject matter expert and thought leader in your domain and help drive the data science roadmap
Effectively communicate and present to both technical and non-technical audiences
Design and analyze randomized controlled experiments and conduct ad hoc analyses
Define metrics and build dashboards to track health of your specific domain.
Develop robust data pipelines and continuously improve the quality and accessibility of data
Proactively influence prioritization through data-driven insights
Develop end-to-end modeling solutions
Build Udemy’s technical brand through talks, blog posts, and publications
We Are Excited About You Because You Have:
At least 5 years of industry experience
Ability to communicate effectively with non-technical stakeholders
Strong business intu
ition and judgment
Exceptional data storytelling and data visualization ability
Broad knowledge of applied statistics, experimental design, and causal inference
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
We Are More Excited About You Because You Have:
5+ years of relevant industry experience
Experience with machine learning and causal inference
Familiarity with standard software engineering practices (e.g., Scrum)
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
Minimum Salary Expectations: $134,000
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Manager Data Science Go To Market | Figma |
We’re looking for an experienced leader to join our data science org who is excited about the challenges that come with rapid growth, and passionate about connecting people together through a positive and inclusive culture. As the Data Science Manager for the Go to Market team, you’ll work closely with your team, sales and marketing leaders, and the broader data science team to deliver strategic insights and build data products that will optimize our go to market activity.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Lead, support and grow a diverse team of data scientists who own all aspects of data within the marketing and sales organizations
Partner with marketing and sales leadership to set strategy, priorities, and mission for teams and projects
Foster a data driven culture by elevating metrics reporting and understanding
Guide development of new and more sophisticated applications of data
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization
Grow your career in an engaged and creative community
We’d love to hear from you if you have:
3+ years of experience managing high output marketing and sales data science teams
Consistent record of influencing marketing and sales functions and shipping high-quality data products that support organizational objectives
Firm knowledge around statistical methods, including lead scoring, experimentation, and attribution modeling
A passion and unwavering commitment to leveraging data and metrics to guide business decisions
A desire to build an inclusive and diverse culture
Experience scaling teams in high growth environments
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Read more about our team:
From experiment to launch
By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D: The Decade of Design
Figma's engineering values
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Data Scientist Product | Figma |
Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web, Figma helps entire product teams brainstorm, create, test, and ship better designs, together. From great products to long-lasting companies, we believe that nothing great is made alone—come make with us!
We’re looking for experienced data scientists to work with our core product teams, who will take ownership of the team’s data projects and serve as a strategic partner to Product, Engineering, Design, User Research, and Marketing.
Teams we’re currently hiring for:
Community: the vision for the team is to move Figma from standalone design tools to an ecosystem and platform. This is where our users share, explore, and gain inspiration from one another. We provide the support for creators to thrive with the power of the design community and take their design process to the next level. The ideal candidate for this team will have a wide breadth of technical experience and be excited about tackling data science problems ranging from strategic analytics to experimentation and machine learning for content ranking.
FigJam: this is Figma’s newest standalone product offering, and it’s one of the company priorities this year. FigJam is an online whiteboard for teams to ideate and brainstorm together. The ideal candidate for this team will have exceptional problem solving and storytelling ability, a strong sense of ownership, excellent stakeholder management, and a track record of using data to influence product teams and help them achieve their goals.
What You'll Be Doing:
Leverage various data science methods such as machine learning, statistical modeling, and causal inference to understand user behavior and optimize the product experience
Design and evaluate experiments to measure improvements to UI and algorithms
Generate ideas to creatively leverage data for shaping future product roadmaps
Drive democratization of data through creation of new datasets and tooling
Design and surface metrics to guide decision making
Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing
We’re looking for someone with:
Degree in a quantitative field (Advanced degree preferred)
3+ years relevant work experience
Fluency in Python, R or similar scripting language
Proficiency in SQL
Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc)
Breadth of knowledge around statistical methods and experiment design, including A/B testing, sequential testing, synthetic control, cluster-randomized testing
Excellent judgment and creative problem solving skills
A self-starting mindset along with strong communication and collaboration skills
Read more about our team:
From experiment to launch
By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D: The Decade of Design
Figma's engineering values
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Data Scientist Sales Analytics | Confluent |
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
About the Role:
The mission of the Data team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data analyst to make an immediate and meaningful impact within a hyper growth start-up. We are now looking for a talented and driven individual to accelerate data and analytics efforts and boost our Field Operations trajectory - Sales, Customer Success, Partnership Ecosystem. This person will work closely with our C-suite executives and operation teams to develop and deliver high quality reporting, insights, and recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.
What You Will Do:
Partner with FP&A team and Sales Ops & Strategy team to drive the long-term roadmap of GTM productivity
Transform the business problems with proper context into mathematical problems
Develop dashboards and reporting to improve visibility of financial KPIs and company metrics
Work with data engineering team and business system team to streamline the metric calculator and operationalization
Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making
What You Will Bring:
Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
Excellent data manipulation skills, proficiency in SQL.
Proficiency in statistical/machine learning model development with Python or R
Experience visualizing data and building dashboards. (eg. Tableau)
Strong problem solving skills and ability to translate business requirements into analytical questions
Effectively communicate model methodology, insights and recommendations to cross-functional partners; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
What Gives You An Edge:
1+ years of experience in data science and analytics.
Experience and/or knowledge in driving consumption based business model in a B2B environment
Experience and/or knowledge in forecasting, customer churn model, anomaly detection, etc.
Experience working in GTM function at a SaaS company, e.g. key go to market funnel optimization, customer insights & retention, etc.
#LI-CM2
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
#LI-Remote
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Research Scientist Machine Learning Deep Learning | Dataminr |
Who you are:You’re a research scientist who has published in top tier conferences and are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI and directly contributing to products while advancing the state of the art. You are very creative, can work independently, and are an excellent collaborator and communicator.
Responsibilities:
Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Information Retrieval, Complex Networks, Recommender Systems.
Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products).
Contribute to the research community via publications in top tier venues, participation in program committees, etc.
Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact.
Productionize and ship research into Dataminr’s products, and thus to its users worldwide.
Senior candidates are expected to lead technical areas and/or people.
Minimum qualifications:
Ph.D. in Computer Science or related fields
Experience in one or more of the following topics: topic detection & tracking, text classification, summarization, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc.
Outstanding publication record (CIKM, WSDM, ICWSM, ICML, KDD, NeurIPS, RecSys, SIGIR, WWW, etc.).
Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics.
Experience in Python, Java, Scala, Python, or similar languages.
Experience with machine learning and deep learning tools (TensorFlow, PyTorch, Scikit-learn, etc)
Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships).
Why you should work here:
We recognize and reward hard work with:
company paid benefits for employees and their dependents, including medical, dental, vision, disability and life insurance
401(k) savings plan with company matching
flexible spending account for out-of-pocket medical, transit, parking and dependent care expenses
We want you to be your best, authentic self by supporting you with:
a diverse, driven, and passionate team of coworkers who want you to succeed
individual learning and development fund and professional training
generous paid time off; including sick leave and 100% company paid parental leave
remote working friendly perks such as expanded telehealth options for mental and physical well being, virtual yoga, meditation and health and fitness app reimbursements
…and this is just to name a few!
Note: For this role, only candidates with Ph.D.s in the areas above will be considered. If you do not meet that requirement please consider either the Data Scientist or other positions.
Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.
#LI-AG
#LI-REMOTE
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Vp Data Analytics | Bestow |
ABOUT BESTOW
Bestow is the leading digital platform for life insurance. As both a direct-to-consumer destination and an infrastructure provider, Bestow is on a mission to make life insurance accessible to millions of underserved families.
We strive for work-life balance and believe happy employees make for better experiences and happier customers. It’s a model that helped us land on Forbes’ Best Startup Employers 2021 and 2022 lists!
The Bestow Data & Analytics team is highly visible, working across the company to support analysis of business performance, data-driven decision making, and predictive insights. We are responsible for data through its lifecycle from acquisition, processing into trusted and easy-to-use data sets, reporting, and driving the business to new opportunities through the application of data science.
The role can be based in Austin, Dallas, or Remote (US) #LI-Remote. Due to specific job requirements, remote employees may be required to travel up to 2 weeks per quarter.
THIS ROLE REPORTS TO
CTO
ABOUT THE ROLE
Shape and champion a holistic vision for the use and leverage of data, ML, and AI in the organization, make data science a key aspect of our product offering and drive bottom-line growth for our direct business and b2b partners.
Lead an organization of 20+ BI analysts, data analysts, and data scientists.
Focus on the application of analytics and data science to drive measurable business results
Partner closely with senior and executive leaders across the organization to drive operational excellence through data and create new business opportunities.
Partner with the Data Engineering team to ensure the best use of data tools, data sets, and data environment to support analysts and data scientists.
Lead data governance, ethics, and compliance in collaboration with legal privacy and compliance teams.
Support marketing teams by building attribution, propensity, and self-learning response models to gain deep knowledge and comprehensive understanding of the customer and run better targeting, funnel optimization, and audience selection experiments to drive towards automation of campaigns.
Working alongside the underwriting and actuarial teams to drive innovation in life insurance risk and price modeling.
Think outside of the traditional industry methods and use new data sources available to us to create new ways of modeling mortality, eligibility, and pricing.
Support revenue teams for Bestow’s own sales channels and those managed on behalf of enterprise customers with reporting and analytics
YOUR EXPERIENCE
5+ years experience in management, including indirect management of cross-functional teams.
10+ years experience in analytics and data science and demonstrable experience in building data science capability
Senior-level people leadership including the development of people leaders, and an understanding of organizational design strategies.
Flexible leadership style and willingness to be hands-on while building out teams and practices in a growing organization.
Expert in the selection and application of current technologies for analytics and data science (data warehouse systems, data visualization, data science platforms) including scalable data science environments
Technical depth to guide a team of AI/ML experts in applying the most appropriate techniques emphasizing driving business impact
Our data stack includes Tealium, DBT, Astronomer, Atlan, Python, Big Query, Arrikto, and Tableau. Familiarity with these and similar tools is required, as well as an eagerness to engage with teams on technical details. .
Familiarity with data vendor ecosystem and leveraging of third party data sets as extensions of first-party data
TOTAL REWARDS
Competitive salary, bonus & stock options
Open PTO plan
100% paid premiums for medical, dental, and vision insurance
Annual bonus based on individual and company performance
Generous equity grant based on level
Flexible work-from-home policy and open to remote
TOTAL REWARDS
Competitive salary and equity based on role
Annual bonus based on company and individual performance
Flexible PTO plan
100% paid premiums for medical, dental, and vision insurance
Paid parental leave
Annual lifestyle spending account to support your physical, emotional, and financial wellbeing
Flexible work-from-home policy and open to remote
Learning & Development opportunities
We value diversity at Bestow. We hire, recruit, and promote without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status, or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every member of our team.
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Data Scientist Machine Learning Ads Planning Opportunities | Reddit |
We are looking for a Machine Learning Data Scientist to work within the Ads Planning, Forecasting, and Opportunities team. This is a new team in Reddit Ads with the mission of building data intelligence and ML solutions for ads planning, optimization and automation. Some of the areas this team is responsible for include:
Planning advertiser engagements and ad campaign execution - develop scalable data processing pipelines and data analytics services for advertiser facing products that derive marketplace insights and leverage them to help Sales, Account Managers, and Advertisers to plan, execute, and optimize their ad spend on Reddit.
Forecasting the effectiveness of an ad campaign - employ machine learning to forecast the outcomes of an ad campaign to help advertisers plan their campaigns.
Opportunities - automatically analyze the performance of ad campaigns; derive and surface actionable suggestions (e.g. bid recommendation) to advertisers and account/campaigns managers on how to optimize the performance and improve return on investment.
You will work closely with engineers and product managers from our Ads team to 1) develop ML algorithms and toolings to empower various advertiser facing products, 2) shape the product roadmap and strategy. This person has a solid business acumen and knows what is important to advertisers and users (i.e. redditors). In addition, this person needs to demonstrate strong cross-functional stakeholders management capabilities.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:
Develop time series forecasting models using the most cutting edge algorithms to empower various advertiser facing products.
Work with product managers, engineers, designers, marketing, sales and a wider set of cross-functional partners to design, implement, and launch delightful products that improve business performance.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will focus on offline model prototyping and feature/model pipeline building, while relying on engineers for model serving. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations.
Partner with the Advertiser Platform team to enhance Reddit’s Ads Manager. Build tools that allow account managers to perform advanced campaign optimization on their own.
What We Can Expect From You:
Working knowledge in predictive forecasting models (e.g. time series modeling)
Bachelor’s degree or above in Mathematics, Statistics, Machine Learning, Computer Science, Economics, or other quantitative fields
Master’s or PhD degree is preferred but not required
Proficiency in machine learning, statistical modeling, and optimization
Strong analytical and communication skills
Familiarity with at least one of the Deep Learning platforms (e.g. Pytorch, Tensorflow)
Strong skills in SQL and programming (Python or R)
Experience in online advertising is preferred but not required
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Sr Data Scientist Analytics Ads Measurement | Reddit |
We are looking for a Senior Data Scientist to work within the Ads Data team and support Marketing Sciences initiatives. You will work closely with engineers and product owners from our Ads and Marketing teams to build measurement solutions for advertisers.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:
Build measurement methodology such as conversion lift studies, brand insights tools, 3rd party integrations with measurement partners.
Build scalable solutions by integrating lift study infrastructure into our in-house experimentation platform.
Investigate discrepancies between 1st party and 3rd party mobile conversion data and identify gaps and product changes to improve our conversion coverage.
Run and evaluate multi-cell experiments against counterfactuals and wrangle with data issues and biases.
Test out various statistical approaches to deal with data insufficiency and under-powered tests.
Build ETLs and data aggregations to improve our understanding of ad performance and develop best practices for advertisers and account managers.
What We Can Expect From You:
Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, computer science)
Proficiency in Statistics
Proficiency with Python programming languages
Knowledge and experience with big data tools (SQL, Big Query, Spark, Hadoop)
Experience with dashboarding tools and data visualization
Experience with workflow scheduling (such as Airflow) and data pipelining
Familiarity with experimentation and causal inference analyses
Master’s degree preferred but not required
2+ years of experience in analytics roles, preferably in the Ads domain
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Data Scientist | Betterworks |
What You’ll Be Doing
Work with stakeholders to identify opportunities for leveraging company dataset to drive business solutions including new product features.
Discover actionable insights from data sources and develop novel algorithms and models through the use of statistical, machine learning or deep learning methodologies.
Optimize and improve performance of the algorithms and models to meet product and business strategies requirements.
Assess the effectiveness and accuracy of data sources and data gathering techniques.
What’ll Help You Be Successful
Degree in a quantitative field such as Statistics, Applied Mathematics, Physics, Computer Science, or related STEM discipline.
5+ years of relevant experience.
Knowledge and experience in advanced statistical techniques and concepts (regression, properties of distribution, statistical tests, etc.) and experience with applications.
Knowledge and Experience in a variety of machine learning and deep learning techniques, e.g. NLP and its real-world application.
Proven ability to develop and deliver data science projects to production with large scale dataset.
Experience in Pytorch, Tensorflow, Pandas, Numpy, scikit-learn, Matplotlib.
Experience querying and analyzing data from various data sources: Postgres, MongoDB, etc.
Experience in at least one programming language (Python etc.).
Experience visualizing data for stakeholders.
A drive to learn and master new technologies and techniques.
About Betterworks
Betterworks closes the loop between people, strategy, and results, enabling organizations to align even their most sprawling, dynamic teams. Industry leaders such as Intuit, Freddie Mac, Asurion, Udemy, Vertiv, HCSC, and the University of Phoenix rely on Betterworks to accelerate strategic growth by supporting transparent goal-setting, enabling continuous performance, and gleaning real-time employee engagement insights.
Betterworks is backed by Kleiner Perkins and Emergence Capital. John Doerr, iconic investor, OKR pioneer, and author of New York Times Best Seller "Measure What Matters," is a board member, and Josh Bersin, global HR thought leader, serves as an advisor.
Why Betterworks
At betterworks, we prioritize our people. In that spirit, we’ve put together a great benefits program to support our employees’ health and wellness that includes the the following:
Health Benefits. Employer paid comprehensive medical, dental, and vision insurance; Employer paid life, long-term disability, short-term disability insurances
Rest and Relaxation. Second Friday of the month off, end of year shutdown, flexible PTO policy
Family and Parenting. One hour/day calendar blocks for personal time, 12 weeks paid parental leave
Learning and Development. Free courses from top learning and upskilling platforms to support both your career goals and personal passions
Discounts and Perks. Discounts on health & wellness, travel, television, internet & cell phone, entertainment and more. Reimbursements for work-from-home setup and internet.
Betterworks is backed by Emergence Capital (Series B), Kleiner Perkins Caufield & Byers and 8VC. BetterWorks has an experienced team from innovative companies like Amazon, Box, Google, LinkedIn, Palantir, Salesforce and Yammer.
We are an equal opportunity employer and value diversity 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. We are committed to an inclusive and diverse betterworks. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global betterworks Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
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Data Scientist | Ottertune |
About the Role
We are hiring a Data Scientist to guide our product and business decision-making abilities. This position will involve creating data pipelines and extracting new knowledge from the telemetry data (e.g., AWS Performance Insights metrics) that OtterTune collects from customer database instances. An example of a question that our Data Scientist could answer with this data is what is the most common performance problem in a category of databases. Another could be how the performance of a customer's database changes when they upgrade software versions and what factors could account for such changes. The data artifacts that the Data Scientist will produce will guide critical strategic decisions as we scale up our product. You will work closely with leadership, the product team, and the engineering team to carry out your work. You will also work with the marketing team to publicly discuss and present findings from your analysis outside of the company to promote OtterTune's ability to help database users. This could also involve creating external-facing dashboards that provide aggregate information about interesting database trends.
We are interested in someone with a strong data analyst / mathematical background and not just having experience with using machine learning tools.
This role is a unique opportunity to join OtterTune in the early stages of its development where you can make a significant impact on the growth and adoption of our state-of-the-art product.
Who We Are
At OtterTune, we make database optimization simple. Our main offering is a cloud service that uses machine learning (ML) to automate the difficult process of database performance tuning. Based on cutting-edge database and ML research at Carnegie Mellon University, OtterTune analyzes a customer's database activity and learns the best configuration for it, thereby boosting database performance and lowering costs. OtterTune's recommendations frequently outperform those of experienced database administrators.
You Will
Design, build, and deploy analytics pipelines to empower business and product analysis and help us better understand our users.
Build dashboards and visualizations for both internal and external consumption (e.g., blog posts, social media, presentations).
Watch data trends and work with leadership to drive prioritization decisions.
Work with the marketing team to develop novel insights about how customers use databases across different application domains.
You Might be a Fit for the Role if You Have
3+ years working as a Data Scientist (or related role).
A degree in a quantitative field (such as Statistics, Mathematics, Computer Science, Engineering, or related field).
Experience building data visualizations and dashboards powered by statistical analysis used to inform business decisions.
Experience with implementing anomaly detection pipelines.
Experience with scripting languages such as Python, R, or a similar language.
Advanced experience with SQL and using data warehouse or database technologies (e.g., dbt, Legend).
Some experience using and administering MySQL or PostgreSQL databases (only a bonus).
Our Benefits
Comprehensive medical, dental, and vision plans for you and your dependents
401k plan with matching
12 weeks of paid family and medical leave
Flexible hours
We Would Still Like to Hear From You
Humans never stop learning. Everyone learns on the job, no matter what job it is. OtterTune employees are encouraged to take time to level up their skills. Even if you do not check all of the boxes, please reach out to us about this position if you are interested.
Building an Inclusive Workplace
OtterTune is an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. OtterTune embraces diversity and provides equal employment opportunities to all employees and applicants for employment. OtterTune prohibits discrimination and harassment of any type on the basis of 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 law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Data Science Product Manager Fusion Team | Lucidworks |
Lucidworks is seeking a Product Manager with a data science background to work within our Product Strategy team to define and support the development of AI-powered applications and features on the Fusion platform. The role plays a critical part in growing Lucidworks’ brand presence and driving new business.
About Lucidworks:
Lucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and healthcare providers. By fusing the power of search and AI, Lucidworks creates connected experiences for shopping, work, research, and support. Brands like Lenovo, Reddit, and Red Hat rely on Lucidworks to power personalized experiences that delight customers and empower employees.
Fusion is our cloud-native, ML-powered search platform that integrates open-source projects Spark and Solr with our proprietary code for user intent prediction, low latency search, hyper-personalization, and smart app creation. Our products include applications that run on the Fusion platform including Predictive Merchandiser, which helps eCommerce teams harness the power of ML to improve eCommerce conversion, Smart Answers, which enhances chatbots and virtual assistants with natural language processing and deep learning, and Never Null, which uses semantic vector search to deliver relevant results where lexical search yields zero results. We believe in building a team to deliver these products that make searching for insights a uniquely personal experience for a worldwide community of users.
Our Ideal Candidate:
You will collaborate with Sales, Marketing, Customer Support, and Partners teams to understand market opportunities, and with R&D and Solutions teams to define product initiatives and features. Your background in data science will enable you to collaborate with data scientists on the R&D and Solutions teams to identify opportunities to apply ML and deep learning approaches. You will be responsible for describing product features that are associated with measurable outcomes. You will succeed by managing a portfolio of ML features that delivers outcome-oriented results, rather than by delivering a number of features at some tempo.
Essential Functions and Responsibilities:
Manage the definition, vetting, and scoring of product features by synthesizing ideas for product improvements and new features with data from market research.
Collaborate with the Product team to help manage the product roadmap.
Apply data science to evaluate potential approaches involving data analysis and ML/deep-learning models. Involves creating training data, training models, and aggregating data to support actionable insights.
Write product initiative and feature requirements incorporating what the feature must do, the expected measurable outcomes of the feature, and how the outcomes will be measured.
Work in cross-functional teams to build field enablement materials delivered in the form of product documentation, best practices blogs, and training workshop curriculum.
Support Sales Cycles conversations in the capacity of product ownership and roadmap.
Represent Lucidworks at technical conferences and user gatherings.
Stay up-to-date on competing offerings in the market and build proposals on how to innovate in areas of high opportunity.
Stay up-to-date on emerging approaches in AI-related product initiatives.
Periodic travel as business dictates.
Desired Skills & Experience:
2+ years in applied data science. The ideal candidate will have experience in applying data science to improve the performance of product discovery or knowledge management products. You demonstrate an understanding of the product discovery and knowledge management markets.
2+ years in product management, technical sales, or technical implementation of scalable search platforms.
Degree in Computer Science, Mathematics, or related technical field.
Passionate about AI, machine learning, and the architectural concepts around scaling AI in search. You keep yourself up to date on the latest trends and are curious about how to apply them in a consumer setting.
Have led high-impact customer initiatives that materialized in a lot of value to the organization through the application of search and AI.
Have experience driving projects forward, writing detailed functional findings/requirements, diagramming, and solution architectures.
Demonstrated ability to synthesize qualitative feedback and quantitative data to support vetting and scoring of product features.
Exhibit great collaboration and communication skills at multiple levels of organizations.
Extensive practical experience with search and relevance tuning on platforms including SOLR, Python, and Spark.
Practical knowledge and understanding of technical details of state-of-the-art Machine Learning. Understand how AI and Machine learning projects are implemented.
Core Competencies:
Business Acumen - You have the ability to manage human, financial, and information resources strategically.
Technical Credibility - You understand and appropriately apply principles, procedures, requirements, regulations, and policies related to specialized expertise.
Problem Solving - You identify and analyze problems; weigh the relevance and accuracy of information; generate and evaluate alternative solutions; make recommendations.
Influencing/Negotiating - You have the ability to Persuade others; build consensus through give and take; gain cooperation from others to obtain information and accomplish goals.
Creativity and Innovation - You develop new insights into situations; question conventional approaches; encourage new ideas and innovations; design and prove new or cutting edge solutions.
Resilience - You deal effectively with pressure; remain optimistic and persistent, even under adversity. You recover quickly from setbacks
Continual Learning - You assess and recognize your own strengths and weaknesses; you pursue self-development
Accountability - You hold yourself and others accountable for measurable high-quality, timely, and cost-effective results. You demonstrate professionalism, a crisp communication style, and discipline.
Resourcefulness - You are willing to jump in, work with both opportunity and constraint, and leverage existing resources to accomplish goals
Team player- You are confident collaborating with a diverse community of people and personalities across geographies, backgrounds, and professional abilities
Outstanding interpersonal and written communication skills
Empathy and care for all stakeholders of Lucidworks, including employees, executives, customers, partners, and guests
Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration based on the relevant talents, skills, and experiences they offer to our company. Thank you for your interest and we look forward to learning more about you.
COVID Vaccination:
Lucidworks policy requires employees to be vaccinated before they visit an office.
We are a remote first company but in certain positions where office attendance is deemed to be essential to the role, offers of employment shall be conditional upon proof of vaccination or exception.
Please note that at this time Lucidworks is unable to sponsor US employment authorization (both new and transfer).
About Lucidworks
Lucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and healthcare providers. By fusing the power of search and AI, Lucidworks creates connected experiences for shopping, work, research, and support. Brands like Lenovo, Reddit, and Red Hat rely on Lucidworks to power personalized experiences that delight customers and empower employees.
Fusion is our cloud-native, ML-powered search platform that integrates open-source projects Spark and Solr with our proprietary code for query intent prediction, low latency search, hyper-personalization and smart app creation. Our products include applications that run on the Fusion platform including Predictive Merchandiser, which helps ecommerce teams harness the power of ML to improve ecommerce conversion and Smart Answers, which enhances chatbots and virtual assistants with natural language processing and deep learning. We believe in building a team to deliver these products that make searching for insights a uniquely personal experience for a worldwide community of users.
Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration based on the relevant talents, skills, and experiences they offer to our company. Thank you for your interest and we look forward to learning more about you.
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Data Scientist | Inmarket |
Job Title: Data Scientist
Location: Remote (US-Only)
About InMarket
Since 2010 InMarket has been a leader in 360-degree consumer intelligence and real-time marketing for thousands of major brands. Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate real-time, and measure success in driving sales.
InMarket, which raised no venture capital funding to date, holds more than 27 patents across location, attribution and digital marketing, and its GeoLink self-service marketing platform was awarded Best Location Marketing Platform at the 2021 MarTech Breakthrough Awards and best Location Platform at the 2020 Digiday Technology Awards. InMarket ranked 280 on the 2021 Deloitte Technology Fast 500 list and its nationwide team is united across more than 20 states.
Your Role
Data science is a core driver of InMarket’s product design and innovation. As a data science team member, you will have the opportunity to leverage cutting-edge machine learning on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack.
Your role is to conceptualize, develop and deploy the core machine learning solutions that power our industry-leading digital advertising and measurement products. These solutions will be intelligent, adaptive, operate at scale and make decisions on how to act within milliseconds. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI.
Responsibilities and Duties
Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production
You will be focused on data related to Advertising Measurement
Take ownership of core machine learning products to expand our capabilities and push our performance boundaries
Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements
Collaborate closely with our engineering and product teams to expand our machine learning platform
Qualifications
Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
Solid understanding of modern data science and machine learning theory and methods
Professional or academic experience using statistical modeling and machine learning to solve complex, data-driven problems
Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code
Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds
Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus
Familiarity with the digital media / advertising industry is a big plus.
Benefits Summary
Competitive salary, stock options, flexible vacation
Medical, dental and Flexible Spending Account (FSA)
Company Matched 401(k)
Unlimited PTO (Within reason)
Talented co-workers and management
Agile Development Program (For continued learning/professional development)
Paid Paternity & Maternity Leave
InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.
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Data Science Intern Uk | Sense |
NOTE: Candidates applying should be available from July 1st to December 22nd 2022.Sense builds home monitoring technology to help people understand their household energy consumption, know what is going on in their homes, and ultimately reduce their energy footprint. We help make homes safer, more efficient, and more reliable. We are serious about impacting climate change, and we regularly measure reduction in carbon emissions from our technology.Sense was founded in 2013 by pioneers in speech recognition technologies. This background provides the team with the intuition to unlock key insights relating to home energy efficiency and deliver those insights to customers. We use machine learning technology to provide real-time insights on device behavior. Customers rely on Sense for a wide range of uses including monitoring their home appliances, determining whether they left appliances running, finding faulty appliances, and identifying how to reduce energy costs.We are looking for an intern or co-op to join our Data Science team in 2022. You’ll be diving into messy time-series data, improving our visualization tools, exploring data-driven modeling, and ultimately improving our customers’ visibility into their homes. We are looking for someone who is: Passionate about the energy sector and climate change Eager to work in a young, fast-paced, and exciting startup environment A 3rd year, 4th year, or graduate student working towards a numeric degree: computer science, electrical engineering, applied mathematics, physics, etc. Familiar with classifiers and regressors in machine learning. Experienced in software development in Python. Adept at communication: eager to learn insights from data and present them to the team. Nice to have Experienced in signal processing, time-series / frequency analysis, algorithms, and data structures. Experience with Jupyter notebooks. Experience with software development tools: git, testing, debugging. Experience with deep learning frameworks such as Tensorflow or Pytorch. Benefits Be a part of a team that will make a difference in the world. Gain experience at a startup building a consumer product from the ground up. Work with a small team of experienced entrepreneurs creating revolutionary technology. Deep dive into a wide range of interesting software problems to be solved.
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Senior Data Scientist | Velocity Global |
Job Title: Senior Data Scientist
Department: Product and Technology
Location: Remote - US
POSITION SUMMARY
The Senior Data Scientist at Velocity Global will be responsible for managing all aspects of the data science process within IT as a shared service for internal and external customers. Responsibilities include data curation/management, model construction, evaluation, and implementation, working with stakeholders to determine where data science could best be applied throughout the company to create value, and the creation of data products to drive increased revenue. The ideal candidate will have had at least five years of experience working as a data scientist, preferably in a management capacity. In addition to technical expertise, this position will require excellent customer service skills and creativity in the use of data to create insights and drive sales.
RESPONSIBILITIES
Assist in the data management process to ensure data is well organized for data science application
Create classification and regression models for tasks such as: marketing targeting, customer churn prediction, and supported employee survivorship
Perform statistical tests to assist in data analysis
Time series modeling for sales forecasting
Creation of data products for sale to external customers, e.g. job matching between clients and candidates
Work with data engineering to implement models in Airflow and Snowflake
Assist the business in developing use cases for data science and helping to scope and shape modeling asks
QUALIFICATIONS/SKILLS
Implementation of standard algorithmic techniques such XGBoost, elastic net regression, dimension reduction (e.g. PCA), deep neural network architectures, ARIMA, clustering (e.g. K-means), and statistical testing methodologies (e.g. chi-square)
Knowledge of and experience working with RDBMS and No-SQL databases
High proficiency in SQL and Python
Additional experience with R preferred
Experience with data visualization platforms such as Looker and Tableau
Master's degree in a quantitative field such as mathematics, statistics, computer science, engineering, or physics. Ph.D. preferred.
5-10 years working as a data scientist, preferably with management experience
OUR VALUES
Velocity: Exceeding expectations of our customers, colleagues, and ourselves by delivering swift and effective results.
Integrity: Doing right by our customers, colleagues, and ourselves through honest and ethical actions.
Be Bold: Daring to take risks, learn, and grow to benefit our customers, colleagues, and ourselves.
Empowerment: Owning our decisions and being accountable for the impact we have on our customers, colleagues, and ourselves.
Service: Supporting our customers, colleagues, and ourselves with respect and empathy.
As a work anywhere company, Velocity Global fosters a values-driven culture. We value inclusion and belonging. We encourage applications from all qualified candidates regardless of age, ancestry, race, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.
If you have a disability or special need that requires accommodation, please contact us at [email protected].
WHAT WE DO
Velocity Global is one of the fastest-growing companies in the world. Our Global Work Platform™ enables the world’s leading companies to identify, hire, and pay the best talent in over 185+ countries, and all 50 United States. More than 1,000 brands rely on our Global Work Platform™ to build highly collaborative global teams with ease. At Velocity Global, we make working from anywhere, anytime, possible.
WHO WE ARE AS A TEAM
We are a team of passionate, creative, empathetic, and innovative, “owner-employees”, committed to building the world’s #1 cloud-based, next-gen Global Work Platform™.
If you wake up compelled to innovate, collaborate and laugh, you should apply!
#LI-REMOTE
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Senior Data Scientist Product | Betterup |
Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.
We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.
Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.
This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.
Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.
If that sounds exciting—and the job description below feels like a fit—we really should start talking.We’re looking for an experienced Senior Data Scientist (Product) and data scientist who cares deeply about their craft, and who wants to use their skills to bring about positive change in the world while working in a high-performing organization. At BetterUp, the opportunities to apply ML for Social Good are ever-expanding, ranging from developing personalization systems that meet someone where they're at and help them reach their full potential to understanding multimodal human-to-human communication and what makes effective coaching through state-of-the-art natural language processing, computer vision, and audio signal processing.We're looking for someone who is comfortable in the rapidly changing nature of a startup environment but also adept at moving relentlessly forward: doing what needs to be done to unblock projects that truly deliver value to our users. At BetterUp we delight in supporting and pushing each other to bring out the best in our colleagues, and would love someone to join the team who shares our passions for empathy, excellence, and continuous improvement. We also deeply understand that a key to peak performance is balance, and our culture is focused on providing the support our people need to be able to bring their whole selves to bear in service of our mission.
Responsibilities:
Data product engineer: Build and deploy machine learning models into production designed for operational excellence and rapid iteration/optimization.
Data storyteller: Effectively deliver analysis, insights, and recommendations to answer cross-functional business questions with clearly communicated artifacts using statistical analysis, ad-hoc reporting, etc.
Applied behavioral scientist: Advance the understanding of behavior change and interventions by measuring quantitative and qualitative signals across a breadth of psychographic signals.
Act as an owner: It’s not done until it’s in production. Adept at moving projects forward and able to unblock projects regardless of the role on the project.
Do less, deliver more: Familiar with the terms YAGNI and yak shaving? Focus your efforts on high impact initiatives that really move the needle.
Impress yourself: We hold ourselves to quality above and beyond something that “just gets it done”. Each line of code is an opportunity to blend craftsmanship with playfulness.
Collaborate without ego: Willing to take on roles small or large in order to further the mission at hand.
Stay on your edge: Continuously learning and applying emerging technologies. Pushing yourself and your team to new heights.
Practice imagination: Hypothesize meaningful questions and dive into data to uncover insights.
If you have some or all of the following please apply:
Bachelors Degree or Masters Degree in Computer Science or related Engineering field preferred
5+ years of relevant industry experience, at least part of which in a startup environment
Succeeded in a remote work environment
Expertise with computation, data analysis, and machine learning libraries in Python like Pytorch, Tensorflow, NumPy, scikit-learn, etc.
Experience with state-of-the-art machine learning architectures and models spanning Natural Language Processing (NLP), Deep learning, graph neural networks, etc.
Experience with Transformer-based models for language and vision
Effective analytical presentation skills using living Jupyter notebooks and static presentation formats
Solid understanding of feature selection and hyperparameter tuning, prototyping and evaluating models, and optimizing classifiers for production
You’re a data wrangler: processing, cleansing, enriching, augmenting, and verifying the integrity of data used for analysis
Familiarity with continuous learning, active learning, weak supervision, self-supervision, one/few-shot learning, transfer learning, etc, a plus
Experience with multimodal systems, RecSys, and personalization is also a plus
Strong verbal and written communication
Impressive portfolio (patents, publications, Kaggle profile, Github, Open Source contributions, etc.)
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
Full coverage for medical, dental and vision insurance
Employer Paid Life, AD&D, STD and LTD insurance
Flexible paid time off
Per year:
13 paid holidays
4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
5 Volunteer Days to give back
Learning and Development stipend
Company wide Summer & Winter breaks
Year-round charitable contribution of your choice on behalf of BetterUp
401(k) self contribution
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
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Senior Data Scientist | Veeva Systems 75407Ec3 C252 43Be 8A3A 11E7Aa2C3E62 |
Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.
The Role
Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care."Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.
Your analysis will shape the product roadmap for a new Link product focused on clinical trials. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.
We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1200 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.
You can work remotely anywhere in Germany, but you have to live in Germany and be legally authorized to work there without requiring Veeva’s support for visa or relocation. If you do not meet this condition, but you think you are an exceptional candidate please clarify it in a separate note and we will consider it.
What You'll Do
Develop machine learning models at scale and in AWS cloud to structure and analyze scientific data
Adopt the latest technologies and trends in AI to your platform
Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, dense passage retrieval and other statistical techniques and models for information extraction and machine reading
Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
Collaborate with data quality teams to define annotation tasks, metrics, and perform qualitative and quantitative evaluation
Collaborate with engineering teams to implement models at terminal scale
Requirements
4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
Fluent in Python/Java and experience with bashing script
Strong analytical skills and data curiosity
Good English and strong communication skills
Experience in at least one framework for BigData (e.g. Spark, DASK) and one framework for Deep Learning (e.g. Tensorflow, PyTorch)
Mastery of Machine Learning, including up-to-date knowledge of latest ML innovations and frameworks
Used to start-up environments
Social competence and a team player
High energy and ambitious
Agile mindset
Nice to Have
Background in clinical (trial) data
Experience in life/health science industry, notably pharma
Having published in AI space in a peer-reviewed journal
Production-grade development Skills
Cloud development, especially AWS
Experience in NLP, NER, deduplication, entity-linking, or graph-processing
Leadership skills and a solid network to help in hiring and growing the team
Experience in containerization, Kubernetes and relevant distributed computing for training and inference
Experience with NoSQL databases, especially MongoDB
Familiarity with model registry solutions such as MLflow
Perks & Benefits
Work anywhere
Personal development budget
Veeva charitable giving program
Fitness reimbursement
Life insurance + pension fund
#RemoteGermany
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
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Applied Data Scientist Ii Public Sector | 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 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.
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
Are you interested in using data science to solve new and challenging problems in innovative ways — like helping the global public health fight to eradicate malaria, creating datasets and predictive models to map where digital equity outreach is needed? Civis Analytics is looking for an Applied Data Scientist to join our public sector (government) ADS practice and help us solve some of the most challenging and interesting questions our customers face today.
The Applied Data Science (ADS) team is the solutions and advisory arm of Civis Analytics and works closely with organizations to help solve their toughest challenges with data science. This role of Applied Data Scientist will support clients in our public sector vertical specifically and report to an Applied Data Science Lead.
Responsibilities
An Applied Data Scientist is responsible for the end-to-end execution of client engagements utilizing data science, which often includes:
Unifying large datasets, often by combining trusted public datasets, data from our customers and data generated by Civis
Building predictive models
Deriving clear, actionable, and timely insights from analyses
Creating client-ready materials and solutions for stakeholders of varying technical experience or familiarity with methods
Working with cross-functional teams of data scientists, solution architects, product teams and engineers where necessary to create and implement solutions
Other job responsibilities of an Applied Data Scientist include:
Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages
Travel requirements: < 5%
Qualifications
Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
Proven affinity for and experience working with large or messy data sets
SQL experience a plus
Experience with statistical programming languages (R, Python, etc.) and an understanding of how to apply statistical concepts
Experience with presentation or data visualization software, such as Google Slides, Microsoft PPT, Tableau, R Shiny, etc.
Excellent interpersonal and communication skills
US work authorization
Preferred Qualifications
Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with software development tools and practices (Git, code review, etc.)
Who we are
At Civis, we have opportunities for applicants who are newcomers, seasoned professionals, and anywhere 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 grow our company and each other.
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
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Senior Data Science Manager Sustainability | Indigo |
We’re an international agtech startup pioneering an ambitious mission in a budding industry where agriculture meets technology. Through the use of data-driven insights, natural microbiology, and innovative digital technologies, Indigo is partnering across the supply chain, ultimately cultivating a scalable climate solution and enhanced ecosystem that beneficially serves farmers, consumers, and the planet alike.
Our mission is unique, and therefore our teams are too: from multigenerational farming gurus who understand the land as though it were an extension of themselves, to cutting-edge techies on the frontier of innovation, our teams are a reflection of the range of the stakeholders we serve: the Earth, the Farmer, and the Consumer. Indigo is extraordinary, and we owe that to the individuals who make up our community and enable success through diversity of thought, experience, background, perspective, race, sexuality, gender, age, and everything else that makes a person uniquely themselves. Connected by a common vision and empowered by diversity, we aren’t ordinary, and neither are you. Embrace your extraordinary and join Indigo in cultivating a healthier planet fueled by unique game changers.
The sustainability data science team is a multidisciplinary team that harnesses data science, statistics, and technology to build a data-driven, scientifically-rigorous sustainability program. Our activities span several aspects including:
Operational tasks to conservatively quantify Carbon sequestration approaches, rates, and efficacy
Partner with our science team on more R&D activities to design, analyze, and derive actionable insights from the frontiers of sustainability and carbon sequestration field experiments and sensor technologies
Strategic decision support with forecasting and scenario planning
Partner with the product team on tools, processes, and data products to enhance the grower’s Carbon program experience.
The role:
We are looking for a senior manager to lead a cross-disciplinary team of data scientists, analysts, and software engineers to own the end-to-end flow of ground truth measurements for both 1.) Indigo's current Carbon program and 2.) future opportunities related to sustainability. The approach could include reviews of the scientific literature, analysis of soil and agronomic datasets, and use of simulation, modeling, and machine learning.
As such, the role involves an operational component generating sampling plans, sending agents to the field to collect soil samples, and lab sample reconciliation—ideally improving the processes and tools to both improve efficiency, scale, and reliability with reduced cost—as well as insight generation and integrating systems into our core technology platform. It also involves a more strategic and R&D component, partnering with our science team to examine the latest literature, open and proprietary data, evaluate partner field experiments, and make recommendations about our program and offering.
Quantifying soil organic carbon sequestration effect sizes and uncertainty are at the heart of our program. This involves developing sound methodological approaches. To thrive in the role, you will be comfortable with experimental design, statistics, and the vagaries and realities of real world, messy, experimental data. You do not need an agronomic background (but it would be a bonus) but you must be comfortable diving into a new domain and understanding the latest bleeding edge technologies, literature, and approaches. Indigo has a highly collaborative culture, thus you will thrive partnering with other squads, engineers, influencing the higher level roadmap and cat herding. Finally, you embody the player-coach approach, and willingly roll up your sleeves to act as an individual contributor (mostly in Python) alongside your team and other collaborators.
We are looking for someone who is excited by the challenge of turning complex data from the physical world into insights that drive decisions and inform the future of Indigo’s Carbon program, an expanded Sustainability offering, as well as growing, nurturing, and managing a team of like-minded data scientists, analysts, and software engineers.
Responsibilities
Partner with our science team to review literature, and design, analyze, and draw insights from field experiments and make program recommendations for Carbon sequestration programs as well as other aspects of sustainability.
Collaborate with product managers and engineers to productionize soil data-related systems including sampling algorithms and plans, QA/QC, lab data reconciliation, and other aspects of the Carbon program operational data flow and processes.
Manage a team of data scientists, analysts, and software engineers. Provide tactical and strategic leadership, nurture their personal development and career.
Contribute to the culture, standards, processes, and knowledge sharing and learning within the broader Carbon data science team, as well as with our partners that span remote sensing, product, engineering, science, policy, and leadership.
Own the roadmap: be a strategic thinker that can span the big picture, paint a compelling vision of the future, influence leadership to obtain the necessary resources and prioritization but dip down to backlogs, tickets, and story points to make progress.
Competencies:
Managed a team of data scientists, statisticians, or analysts for at least 2 years in an industrial setting. Bonus points for startup experience.
Enjoy collaborating across multiple disciplines, including product, science, and engineering.
Strong communication skills, ability to listen, story tell, and influence partners, especially in a remote first environment.
A strong statistical background, especially in sampling, bias, experimental design, and uncertainty. Simulation, Bayesian approaches, and MCMC experience could be useful.
Extremely comfortable working with data, databases, SQL, APIs, data munging, and other data preparation and cleaning tasks.
Experience with the agile process and methodology, developing a robust backlog, and designing and getting buy in to the roadmaps.
A hands on player coach mindset, keen to code and dig into data, review PRs, and drive process, standards, and best practices to get high quality and impactful tools, models, and data products into production.
A growth mindset: own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Interest in and experience with one or more of agriculture, environmental science, agronomy, climatology and/or geospatial data in some form is a big plus.
Minimum Qualifications:
Track record of delivering actionable insights, and impactful productionized models and data products
Fluency in Python and SQL
Experience initiating and driving projects to completion with minimal guidance
Demonstrated experience in hiring, retaining, and scaling high-performing teams
Preferred Qualification:
Ph.D or Masters or a Graduate Degree in Computer Science, Math, Statistics, Physics, Engineering, or related quantitative field
Experience in a startup environment
Benefits:
Health, dental, and vision insurance for you and your family
Generous time off
Parental leave
A remote-first organization with flexible work hours
401(k) plan
Indigo is committed to living our values, specifically “creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow.” As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.
#LI-RO1
#LI-Remote
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Data Scientist Applied Research Intelligent Systems | 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 1.8M subscribers in nearly every country worldwide.
We’re defining the workforce of the future with Scribd Flex, a program that embraces multiple perspectives while leaning into our belief that no matter where each team member is, we trust them to accomplish our shared business goals. This program lets employees, in partnership with their manager, choose where they work while creating intentional in-person meetings with co-workers that build culture and connect us personally.
Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico.
*This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.
About the Team
Applied Research works on a variety of ML and NLP projects like spam detection, graph neural network recommendations, and embedding-based search. We are a full-stack data science team that runs exploratory analyses, sizes business impact, creates data pipelines, presents projects, and builds models from prototype to production. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, and podcasts.
About You
You are a curious person who enjoys tackling hard problems. You got into data science because you love being at the forefront of what is possible and the idea of building intelligent systems that scale to reach millions of people inspires you. As a data scientist, you have a deep appreciation for project-based learning and you enjoy picking up new skills.
You will
- Build reproducible and scalable ML models in Python and Spark.
- Partner with ML engineers and software engineers to create state-of-the-art ML systems.
- Develop comprehensive knowledge of Scribd’s data structures and metrics.
- Write up analyses and produce visualizations that estimate the impact of potential projects and evaluate the business results produced by the ML models.
- Take complicated concepts, systems, and processes and clearly communicate what matters to stakeholders.
- Participate in the interview process, read & present research papers, and share your results in project deep dives.
You Have
- 3+ years experience in data science or ML engineering.
- BA/BS in a quantitative discipline.
- Intermediate level or greater experience with Python.
- Experience with data manipulation, aggregation, and pipeline building.
- Sufficient statistical skills to make effective ML modeling tradeoffs. Industry experience in at least one of the following fields: natural language processing, deep learning, or supervised learning on structured data.
- Energy and passion for learning what’s necessary to solve a business problem and make a positive business impact.
- A keen interest in keeping up to date in the field of ML by reading papers and attending classes or conferences, using these state-of-the-art approaches to tackle business problems.
- Preferred: Experience with Spark.
Benefits, Perks, and Wellbeing at Scribd
• Healthcare Insurance Coverage: Scribd pays for 100% of all employee’s Medical, Vision, and Dental premiums and a portion of dependent premiums
• 401k/RSP plans provided, plus company matching with no vesting period
• Professional development: generous continuing education annual budget for employees to attend conferences, classes, and pursue courses relevant to keeping skills current
• Quarterly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Free subscription to Scribd + gift memberships for friends & family
• Leaves: 12 weeks paid parental leave, company paid short-term/long-term disability plans and milestone Sabbaticals
• Generous Paid Time Off: Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.
Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life
We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing [email protected] about the need for adjustments at any point in the interview process.
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, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. If you are still not sure or feel that you don't meet 100% of the requirements, apply anyway! We don't hire off keywords. We hire people who are willing to learn from mistakes and want to grow in their careers. Come join us in building something meaningful.
#LI-Remote
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Data Scientist | Yelp |
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. 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.
This remote opportunity requires you to be located in the United Kingdom.
We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.
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 a few 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.
What You'll Get:
Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
Competitive salary with equity in the company, a pension scheme, and an optional employee stock purchase plan.
25 days paid holiday (rising to 29 with service), plus one floating holiday.
£150 monthly reimbursement to help cover remote working expenses.
£75 caregiver reimbursement to support dependent care for families.
Private health insurance, including dental and vision.
Flexible working hours and meeting-free Wednesdays.
Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
Opportunities to participate in digital events and conferences.
£56 per month to use toward qualifying wellness expenses.
Quarterly team offsites.
#LI-Remote
Yelp values diversity. 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, disability, or any other protected status.
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.
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Data Scientist M F D | Yelp |
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. 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.
This opportunity has the option to be fully remote throughout Germany.
We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.
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 a few 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.
What You'll Get:
Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
Competitive salary with equity in the company, a pension scheme, and an optional employee stock purchase plan.
30 days paid vacation per year plus one floating holiday.
€150 monthly reimbursement to help cover remote working expenses.
€89 caregiver reimbursement to support dependent care for families.
Flexible working hours and meeting-free Wednesdays.
Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
Opportunities to participate in digital events and conferences.
Complementary elective German lessons for international employees.
€67 per month to use toward qualifying wellness expenses.
Quarterly team offsites.
Yelp values diversity. 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, disability, or any other protected status.
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.
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Healthcare Research Scientist Iii Us | Hophr |
POSITION SUMMARY:
We are a passionate and distributed team working to build a best-in-class healthcare product designed to make high-quality healthcare easy to access. We are looking for an experienced healthcare analytics professional to assess impact of our offering and identify and quantify improvement opportunities.
A day in the life:
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
About the team:
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, project reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded analyst and enable them to take on more complex tasks in the future.
JOB REPONSIBILITIES:
Conducts statistical analyses to answer complex business questions
Analyzes various data sources: administrative claims, electronic medical records, surveys, patient-reported outcomes, operational data
Partners with stakeholders, applies analytic findings to enhance clinical and operational processes, improves customer experience, clinical, and financial outcomes
IDEAL CANDIDATE IS:
A scientific leader - efficiently delivers complex solutions to ambiguous business problems; possesses an analytic toolkit and identify the right methods for poorly-defined and ambiguous problems; invents new approaches and adapt methods from other disciplines
An influencer - a trusted partner in business and customer discussions; understands and communicates cross-team perspectives and makes sound decisions about trade-offs; interprets scientific findings to promote high-speed decision-making
High standards and her/his work is exemplary and detail-oriented. Ensures accuracy, applicability, and scalability of your solutions
Identifies and implements opportunities for improvement
Deep expertise in healthcare analytics and the current healthcare landscape. Follows developments in research and analytic methodology and business innovation
A teacher and a learner - provides and solicits respectful feedback from peers and leaders and mentors junior colleagues. Active in scientific community and participates in recruiting and promotion processes
REQUIRED QUALIFICATIONS:
5+ years of professional experience in healthcare advanced data analysis, modeling, and translating analytic findings into insight for business audiences
5+ years of hands-on experience accessing and summarizing data from large databases (e.g. using SQL), implementing statistical analysis, modeling, and data mining methods (e.g. using R, Python, STATA, SAS), and visualizing data for business audiences (e.g. using Tableau)
PREFERRED QUALIFICATIONS:
Experience with retrospective study methods, including econometric techniques (e.g. propensity score matching, instrumental variables)
Experience with prospective study design and measurement (e.g. power analysis, A/B testing, experimental design and randomization)
Experience with healthcare utilization forecasting, risk modeling, and patient segmentation
Publication and presentation record in high-caliber healthcare, economics, statistical methods and machine learning venues
Experience collaborating with business, clinical, operations, finance, engineering, and product development partners to identify business needs and translate them into analytic questions
Ability to communicate effectively and concisely with both technical and non-technical audiences
Strong problem solving, organizational, and time management skills
Meet/exceed the company's functional/technical depth and complexity for this role
Meet/exceed the company's leadership principles requirements for this role
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Healthcare Research Scientist Ii Us | Hophr |
POSITION SUMMARY:
We are a passionate and distributed team working to build a best-in-class healthcare product designed to make high-quality healthcare easy to access. We are looking for an experienced healthcare analytics professional to assess the impact of our offering and identify and quantify improvement opportunities.
A day in the life:
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
About the team:
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, project reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded analyst and enable them to take on more complex tasks in the future.
JOB REPONSIBILITIES:
Conducts statistical analyses to answer complex business questions
Analyzes various data sources: administrative claims, electronic medical records, surveys, patient-reported outcomes, operational data
Partners with stakeholders, applies analytic findings to enhance clinical and operational processes, improves customer experience, clinical, and financial outcomes
IDEAL CANDIDATE IS:
A problem solver – utilizes exceptional problem-solving skills to define analytic solutions to ambiguous business problems, knows when to seek direction and input
A doer – delivers analytic solutions for individual projects and participates in larger initiatives, delivers analytic artifacts and detailed documentation of implementation and findings
A team player – partners with technical and non-technical colleagues to scope and design solutions; learns the business context and emerging technologies
A communicator – effectively communicates technical content to technical and non-technical audiences
REQUIRED QUALIFICATIONS:
4+ years of professional experience in healthcare advanced data analysis, modeling, and translating analytic findings into insight for business audiences
4+ years of hands-on experience accessing and summarizing data from large databases (e.g. using SQL), implementing statistical analysis, modeling, and data mining methods (e.g. using R, Python, STATA, SAS), and visualizing data for business audiences (e.g. using Tableau)
PREFERRED QUALIFICATIONS:
Experience with retrospective study methods, including econometric techniques (e.g. propensity score matching, instrumental variables)
Experience with prospective study design and measurement (e.g. power analysis, A/B testing, experimental design and randomization)
Experience with healthcare utilization forecasting, risk modeling, and patient segmentation
Publication and presentation record in high-caliber healthcare, economics, statistical methods and machine learning venues
Ability to collaborate with non-technical partners to participate in identification of business needs and formulation of analytic solutions
Ability to communicate effectively and concisely with both technical and non-technical audiences
Strong problem solving, organizational, and time management skills
Meet/exceed the company’s functional/technical depth and complexity for this role
Meet/exceed the company's leadership principles requirements for this role
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Data Scientist | Hophr |
You will be joining a best-in-class team on a trajectory of tremendous growth. We are a Series-B start-up, backed by top tier investors Canapi Ventures, FinVC Capital, and TTV Capital and we serve some of the largest names across various industries such as Intuit, Square, Affirm, Mission Lane, Petal, and others.
We are pioneering the behavioral analytics space, providing a new standard for collecting, translating and actioning on the real-time behaviors of digital interactions. Through a body of patented technology leveraging over a decade of scientific research and discovery in Human-Computer Interaction (HCI) to measure both customer Intent and Experience. For companies, this real-time behavioral data is used during the digital onboarding process to segment genuine from fraudulent customers, enabling them to maximize conversion, reduce false positives and stop sophisticated fraud.
Founded by 2 world-renowned PhDs, and led by a team of seasoned executives, we continue to make strategic key additions to our team to expand our product offerings and enter new verticals.
Come join our team!
We have a large and unique data set with a unique set of challenges. It has tremendous potential. We are looking for a Data Scientist to join our team, and work on analysis and modeling.
JOB REPONSIBILITIES:
Research and develop ML learning models and technology to power Neuro-ID products
Data analysis and visualization
REQUIRED QUALIFICATIONS:
2 -4 years experience delivering data science projects analyzing and modeling real-world problems
Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, etc.)
Familiar with Python (pandas, NumPy, sci-kit-learn, etc) and SQL, experience with Snowflake and/or Looker is a plus
Ability to adapt to a fast paced and flexible work environment
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Senior Data Scientist Product Analytics Belfast Uk Or Us | Slice |
The Product Analytics team is a key part of product development at Slice.
As we scale and grow our organization and capabilities, we are looking for a very strategic, result-driven Senior Data Scientist who can provide data-driven insights to our leadership and executive team.
You will work on data science and analytics projects to inform and influence the company’s strategic direction by performing original analyses and consolidating existing analyses into a cohesive story.
What you'll do
Work closely with product managers, software engineers, and designers to build and execute a data-driven product roadmap
Define metrics and success criteria for new and existing company initiatives
Work cross functionally with the Finance, and Go To Market teams to drive roadmaps and inform key strategic decisions
Define metrics and utilize dashboards to measure the health of our initiatives
Identify and clearly communicate actionable insights for cross functional stakeholders
Advocate for data-informed decision making and continue to build an insights-driven culture at Slice
Collaborate with Data Engineering to design and develop reliable data pipelines that help answer business questions
Essential Criteria
MS/MSc in a technical or quantitative subject (Computer Science, Engineering, Statistics, etc.)
3+ years of total experience in a highly quantitative role
2+ years of experience as a data scientist
Working experience in statistics, experiment design and evaluation
Experience in the modern data analysis stack, including Python and SQL (R knowledge optional)
Impeccable communication skills and ability to share complex, uncertain results to an executive audience
About Slice:
Slice powers independent pizzerias with the specialized technology, data insights, and shared services they need to serve today’s digital-minded customers. This united network of pizzerias enables these small businesses to thrive against major corporate chains and form the nation’s largest marketplace for authentic pizza. Slice makes it easy for customers to order from their go-to shops and discover their next favorite.
Serial tech entrepreneur Ilir Sela started Slice to solve the digital challenges his family’s New York City pizzerias faced. Today, the Slice team has grown to over 900+ across 5 offices globally. If you’re ambitious, interested in growing your career, and hungry to join one of the fastest growing companies in tech, we may have a role for you. Check out a few awards we’ve recently won for our workplace and culture: Inc., Crain's, BuiltinNYC
Slice is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.
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Assistant Director Data Science | Liberty Mutual |
The Global Demand Modeling team has an exciting opportunity for a Assistant Director, Data Science position that will use data science to drive deep understanding of consumer behavior and insurance economics with the goal of improving our pricing and product design across the globe. This role requires creative problem solving and the application of data science techniques to challenging problems, particularly focused on isolating causal relationships in data. This Individual Contributor role will work with both global functions and local market teams.
Responsibilities
Advance the science of Demand Modeling through the research and application of new techniques; identify and leverage synergies between markets.
Build complex models that isolate causality when data includes both random and pseudo-random treatment effects.
Recommend/implement pricing adjustments which consider the holistic impact to the business
Support relationships between global and local teams
Job Specifications:
Reference: 2022-47813
Category: Analytics
Primary Location: Remote
Additional Locations:
Schedule: Full-Time
Salary: USD-$129,500.00-–-$169,400.00-/-Year
Education Level:
Travel: As Needed
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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
What You’ll Do
· Provide thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
· Manage a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.
· Manage a team dedicated to building analytics insights for the contact center operations to support the work of Discover front line, partnering with dedicated customer experience teams outside of our organization, as appropriate
How You’ll Do It
· Provide thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, algorithm & recommendation to solve business problems.
· Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.
· Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implement tests to drive strategy enhancement and optimization.
· Recruit, train, coach and develop talent to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manage and set priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
· Collaborate 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. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.
· Ensure standard work processes and documentation requirements are timely and consistently followed by team. Encourage continuous improvement of team processes and share across functional teams to ensure consistency.
Qualifications You’ll Need
The Basics
· Bachelor’s Degree in Analytics, Engineering, Statistics or related field
· 8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field
· 2+ years of experience in People Management
Bonus Points If You Have
· Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field
· 6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field
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.
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Data Scientist Spaces Paper | Dropbox |
Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our Admin team works magic behind the scenes to keep Dropbox teams around the world running smoothly. We support leaders across the company and help teams thrive by prioritizing and anticipating needs even before they arise. We shine under pressure and create order from chaos.
Role Description
We're looking for a Senior Data Scientist to act as a lead for the AMP organization. AMP’s mission is to take bold, long-term risks to discover tools that help people make meaningful progress against their priorities. These tools will augment humanity’s important work, using CPU cycles to preserve human cycles. The tools will create(rather than disrupt) states of focus and flow, unlocking new levels of cognitive productivity.
This person will work across the organization, driving key product insights, owning product analytics, and helping solve important ML problems in performing cognitive and work tasks, search relevance, and lifecycle notifications for both established and 0→1 products. They will help the organization quickly experiment and learn from the work we are doing.
They will deep dive on unique customer trends through data analytics and and ideal candidate should have a robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics, and business operations for a SaaS company.
Responsibility
Develop a deep understanding of the product; define the key metrics that will guide the team in the early phases of identifying product market fit.Develop a 360 degree perspective on the data needs for the products from logging, to dashboarding, to creating recommendations to drive change in production.Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterateCreate propensity models to enable targeting of users within the existing Dropbox user base.Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insightsDigest literature and assess state-of-art ML capabilities; and evaluate application of models towards use cases (e.g. NLP)Identify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Translate complex concepts into implications for the business via excellent communication skills, both verbal and writtenUnderstand what matters most and prioritize ruthlessly
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field4+ years experience using analytics/data science to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consultingProven track record of being able to work independently and proactively engage with business stakeholders with minimal directionSignificant experience with SQL and large unstructured datasets such as HadoopFluency in SQL and statistical programming (e.g., R or python)Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision treesGood understanding of basic ML techniques just as regressions, tree based models, clustering techniques and SVMsStrong verbal and written communication skills
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
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Senior Data Scientist Startup Creation | Redesign Health |
As our Senior Data Scientist for our Startup Creation team, you will set up and configure the data infrastructure for our startups, and work with the startup founding team to define data driven KPIs, and implement automated statistical analyses of customer behavior. Your goal is to make all of the companies that we launch data-driven from day one.
In this role, you will function as an in-house implementation team for the companies that Redesign Health launches (internally referred to as OpCos). We provide data strategy, data pipeline, data analytics and forecasting services to newly formed companies in a repeatable and scalable manner. Each engagement with an OpCo will interact directly with the founding team, and our team strives to both listen to their needs as operators, and help provide guidance on how to best use data in their decision making process. To execute on these projects you will work closely with the data engineering, engineering, marketing and strategy groups at Redesign Health.
You will report to and work with the Director of Data Science. The position can be fully remote within the United States or based out of our New York City headquarters.
What you'll do:
Engage with key stakeholders
Work with venture chairs, CEOs, and Chief Product OfficersEliciting and synthesizing key requirements from OpCo founders.Engaging in a handoff that allows the OpCos to maintain and expand on the system provided
Implement relevant aspects of our standard data stack
Integrate data from a variety of 3rd party data sourcesProvide data models for a single source of truth about all facets of a company and productSet up data transformations to provide reliable, aggregated data to dashboards
Provide analyses tailored to each operating company
Rapidly learn about a domain within healthcare such as oncology, veterinary medicine, actuarial science, just to name a few.
Determine how these domain specific needs fit into common statistical analyses of behavior.
Implement robust statistical analyses as part of our data pipeline.
Provide automated actionable insights back to the OpCos in order to allow them to make critical business decisions in a data-driven manner.
What you'll need:
Background
4-7 years of data engineering experience: SQL, ETL pipelines, metadata stores
5+ years of data analytics experience: statistical analysis, data driven decision support, data-related SWOT analysis
3+ years of experience working at a consulting firm or client services group
Technical Skills
Ability to code in Python and SQL
Data Engineering: experience with ETL and integrating some sort of SaaS service (NetSuite, MixPanel, Iterable, etc.)
Strong experience setting up cloud architecture
Strong experience handling and understanding data sets
Experience with data-driven decision making; ability to understand which data is relevant to a decision, and how to incorporate the presence or lack of data into a decision
Ability to define metrics and KPIs (financial KPIs, user behavior); ability to calculate churn, or LTV, things like CAC
Ability to configure dashboards and data visualization design
Behavioral Skills
Drives Results. Has a strong bottom-line orientation. Persists in accomplishing objectives despite obstacles and setbacks. Has a track record of exceeding goals successfully. Pushes self and helps others achieve results. Consistently achieving results, even under tough circumstances
Nimble Learning. Learns quickly when facing new situations. Experiments to find new solutions. Takes on the challenge of unfamiliar tasks. Extracts lessons learned from failures and mistakes. Learning through experimentation when tackling new problems, using both successes and failures as learning fodder
You will work out of one of the following locations:
Remote: Alabama, Arizona, Arkansas, California, Colorado, 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
#LI-Remote
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Data Scientist Opco Creation | Redesign Health |
As our Data Scientist for our Startup Creation team, you will set up and configure the data infrastructure for our startups, and work with the startup founding team to define data driven KPIs, and implement automated statistical analyses of customer behavior. Your goal is to make all of the companies that we launch data-driven from day one.
In this role, you will function as an in-house implementation team for the companies that Redesign Health launches (internally referred to as OpCos). We provide data strategy, data pipeline, data analytics and forecasting services to newly formed companies in a repeatable and scalable manner. Each engagement with an OpCo will interact directly with the founding team, and our team strives to both listen to their needs as operators, and help provide guidance on how to best use data in their decision making process. To execute on these projects you will work closely with the data engineering, engineering, marketing and strategy groups at Redesign Health.
You will report to and work with the Director of Data Science. The position can be fully remote within the United States or based out of our New York City headquarters.
What you'll do:
Engage with key stakeholders
Work with venture chairs, CEOs, and Chief Product OfficersEliciting and synthesizing key requirements from OpCo founders.Engaging in a handoff that allows the OpCos to maintain and expand on the system provided
Implement relevant aspects of our standard data stack
Integrate data from a variety of 3rd party data sourcesProvide data models for a single source of truth about all facets of a company and productSet up data transformations to provide reliable, aggregated data to dashboards
Provide analyses tailored to each operating company
Rapidly learn about a domain within healthcare such as oncology, veterinary medicine, actuarial science, just to name a few.
Determine how these domain specific needs fit into common statistical analyses of behavior.
Implement robust statistical analyses as part of our data pipeline.
Provide automated actionable insights back to the OpCos in order to allow them to make critical business decisions in a data-driven manner.
What you'll need:
Background
2-4 years of data engineering experience: SQL, ETL pipelines, metadata stores
2-4 years of data analytics experience: statistical analysis, data driven decision support, data-related SWOT analysis
1+ years of experience working at a consulting firm or client services group
Technical Skills
Ability to code in Python and SQL
Data Engineering: experience with ETL and integrating some sort of SaaS service (NetSuite, MixPanel, Iterable, etc.)
Strong experience setting up cloud architecture
Strong experience handling and understanding data sets
Experience with data-driven decision making; ability to understand which data is relevant to a decision, and how to incorporate the presence or lack of data into a decision
Ability to define metrics and KPIs (financial KPIs, user behavior); ability to calculate churn, or LTV, things like CAC
Ability to configure dashboards and data visualization design
Behavioral Skills
Drives Results. Has a strong bottom-line orientation. Persists in accomplishing objectives despite obstacles and setbacks. Has a track record of exceeding goals successfully. Pushes self and helps others achieve results. Consistently achieving results, even under tough circumstances
Nimble Learning. Learns quickly when facing new situations. Experiments to find new solutions. Takes on the challenge of unfamiliar tasks. Extracts lessons learned from failures and mistakes. Learning through experimentation when tackling new problems, using both successes and failures as learning fodder
You will work out of one of the following locations:
Remote: Alabama, Arizona, Arkansas, California, Colorado, 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
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Machine Learning Scientist | Redesign Health |
As our Machine Learning Scientist, you will be responsible for helping design, implement, prototype, train and evaluate custom ML models used by Redesign Health to help redesign the healthcare industry more optimally. This role is unique in terms of career growth as it combines large-scale ML modeling with high potential impact in an enormous yet inefficient industry. You will be performing cutting-edge research pushing the limits of large language models in order to achieve real-world healthcare impact.
In this role, you will focus more on new model creation and research versus deployment at scale or dataset creation. Some dataset tailoring to tasks at hand is expected. Most ML models will be trained on web-scale data, so knowledge of large-scale ML is a must.
Our machine learning models cover a myriad of NLP tasks that power the insights and investment strategies core to Redesign Health. These include, but are not limited to, text summarization, topic modeling, entity extraction and text classification. They also cover time series analysis and prediction and prediction on graph-structured datasets. Experience in either is very much desired though not essential.
You will report to and work with the VP of Machine Learning. The position can be fully remote within the United States or based out of our New York City headquarters.
What you'll do:
Experiment with large-scale NLP models, as required by product-features
Perform research deep dives into approaches used to solve particular NLP tasks that are currently needed. These include both deep learning and more classical approaches
Communicate the results of the deep dive with the broader team
Design and prototype the most promising models to see if they can be a game changer for the product feature du jour. Help navigate prototyping strategy with the broader team – e.g. in some cases we can leverage pre-training
Experiment with large-scale time-series analysis, as required by product-features
Perform research deep dives into approaches used to solve particular time series prediction tasks that are currently needed. These include both deep learning and more classical approaches
Communicate the results of the deep dive with the broader team
Design and prototype the most promising models to see if they can be a game changer for the product feature du jour. Help navigate prototyping strategy with the broader team
Help design products which are optimally adaptive to user needs out-of-the-box
A big part of ensuring product fit is to calibrate the deployed models to the specific needs of the user. Help spearhead and research how we can optimally calibrate existing models so that they evolve to become more and more useful with more usage
Be an integral part of the discussion of how we measure success for deployed ML models
Help communicate and manage expectations for models currently used by our users
What you'll need:
Background
2-4 years of Machine Learning experience
2-4 years of Python experience
Knowledge of one popular deep learning library such as PyTorch, Tensorflow, Sklearn, Pandas, Keras, or Huggingface
Must have demonstrable outputs which are publicly available: e.g. an accepted ML paper, or a new product/feature that uses ML that you helped build
Experience in large-scale deep learning; model design, optimization (e.g. learning rate scheduling), hyperparameter tuning etc.
B.S. in Computer Science; PhD in Machine Learning is a plus
Technical Skills
Knowledge of basic probability, linear algebra, calculus and optimization
Ability to code advanced data structures in Python
Ability to build a large-language model from scratch in Pytorch or Tensorflow
Some experience with more classical NLP techniques such as LDA, PoS-tagging, anaphora resolution
Behavioral Skills
Collaborates. Works cooperatively with others across the organization to achieve shared objectives. Represents own interests while being fair to others and their areas. Partners with others to get work done. Credits others for their contributions and accomplishments. Gains trust and support of others. Building partnerships and collaborating with others to meet shared objectives.
Communicates Effectively. Is effective in a variety of communication settings: one-on-one, small and large groups, or among diverse styles and position levels. Attentively listens to others. Adjusts to fit the audience and the message. Provides timely and helpful information to others across the organization. Encourages the open expression of diverse ideas and opinions. Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Action Oriented. Readily takes action on challenges, without unnecessary planning. Identifies and seizes new opportunities. Displays a can-do attitude in good and bad times. Steps up to handle tough issues. Taking on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm.
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Research Scientist All Levels | Convoy |
About the team:
Research Science is at the core of Convoy’s platforms. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. We also forecast business metrics, evaluate the causal impact of business decisions, design statistical and machine learning models to optimize our product, and leverage our data to generate insights for our customers. The breadth of the problems space is huge, spanning machine learning, optimization, causal inference, experimental design, econometrics, and prediction domains. We have only begun to dig into the difficult and diverse problems in our two-sided marketplace.
You will:
Leverage machine learning and optimization to automate and improve decision making in our core problem areas
Develop and deploy new solutions and improving existing machine learning models (including deep learning, reinforcement learning and tree based methods)
Design and implement scalable automated decisioning systems
Lead research initiatives to drive actionable learnings and ultimately impact for Convoy
Work on systems that automate our dynamic freight marketplace
We’re looking for someone who has:
Minimum of 2-7+ years of experience developing machine learning solutions
PhD or MS in Computer Science, Statistics, Applied Math/OR, Engineering, or related quantitative field.
Experience using Python and SQL for deploying and maintaining models in production
Experience with machine learning and deep learning toolkits and frameworks
Ability to frame business problems as automated decision solutions
Intelligent but practical; you want to get things done and love simplicity
You’re humble, effective, and biased toward action and learning
Nice to haves:
Experience with two-sided marketplaces (platforms), financial markets and economic theory or driving operational or product improvements through automated decision making
Experience developing mature models and doing the tough research work to unlock value
Experience with Big Data Tools
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Data Scientist All Levels | Convoy |
About the team: The Data Science team is at the core of Convoy’s business. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. The breadth of the problems space is huge, spanning machine learning, optimization, metric definition, econometrics, and prediction domains. And we have only begun to dig into the difficult and diverse problems in our two-sided marketplace.
About you: At Convoy you will be expected to work autonomously and own your domain end-to-end. You will collaborate with Research Scientists, Product Managers, and Engineers across the Product organization and interact with stakeholders across the company. You will be responsible for defining core business logic in our data warehouse, developing insights to drive product decisions, and building data science models.
You will: #LI-REMOTE
Measure the impact of product launches using experimental and quasi-experimental methods (A/B testing, causal inference, statistical modeling)
Discover new opportunities and shape product/business strategies through data-centric approaches
Maintain, monitor, and debug production models/decisions systems
Develop metrics to measure system performance and business impact
We’re looking for someone who has:
Minimum of 2-7+ years of industry experience in Data Science
Strong programming skills (Python and R preferred). Proficient with statistical data analysis and modeling
Ability to break down high level business problems into concrete analytical solutions
Strong written and verbal communication and keen attention to detail
Nice to Haves:
Advanced degree in economics, statistics, computer science, operations research, engineering, a natural science or equivalent quantitative subject
Experience in SQL and ETL pipeline
Strong examples of your outputs influencing product or engineering road-maps
|
Senior Data Scientist Product | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
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 the Senior Data Scientist you will be responsible for:
Applying advanced analytical techniques to gauge the impact of initiatives such as expanding our shipping offerings internationally to support a marketplace that connects buyers and sellers globally
Conducting online experiments to help improve buyer fulfillment experiences, while ensuring seller satisfaction
Identify factors that contribute to providing realistic shipping time estimates to our buyers
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.
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 Etsy’s Core Fulfillment group.This is a group that helps sellers manage and fulfill their orders, while also setting buyer expectations around fulfillment so they can make well-informed purchase decisions.
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 Fulfillment 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 send a cover
letter and resume telling us why you'd be right for the position. As you've
hopefully 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 write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes
us a more relevant, more competitive, and more resilient company. We
encourage people from all backgrounds, ages, abilities, and experiences to
apply. Etsy is an equal opportunity employer. We do not discriminate on the
basis of race, color, ancestry, religion, national origin, sexual
orientation, age, citizenship, marital or family status, disability,
gender, gender identity or expression, pregnancy or caregiver status,
veteran status, or any other legally protected status. We will ensure that
individuals with disabilities are provided reasonable accommodations to
participate in the job application and interview process, to perform
essential job functions, and to receive other benefits and privileges of
employment. While Etsy supports visa sponsorship, sponsorship opportunities
may be limited to certain roles and skillsets.
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. For candidates who will work remotely from Colorado, visit thislink for information related to Colorado's Equal Pay for Equal Work Act.
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Senior Data Scientist Member Services | 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 an experienced analytics professional to support the product team responsible for building solutions to deliver effortless, human support to buyers and sellers. Your team’s work ensures Etsy provides world-class customer support and a safe, trusted marketplace for the millions of buyers and sellers in the Etsy community.
As a Senior Data Scientist working in the Member Services area you will work to deliver clear insights, and provide access to metrics, data, and tools needed for decision-making and optimization at all levels of the organization. Are you passionate about using sophisticated behavioral analysis to drive product development and strategy in customer support? If so, this could be a great match.
This is a full-time position reporting to the Director, Analytics. 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 does the day-to-day look like?
Partner with product, engineering, design teams; use behavioral and transactional data to shed light on our users and our support product experience, identify areas for improvement, and drive decision-making.Identify impactful metrics to understand the performance of our support products, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.Continually evaluate and refine your technical toolkit; teach what you learn to the team.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 of proven success as a data analyst focused on supporting product teams with data access, reporting, and insights.Successful track record of distilling highly complex problems into narratives that are concise, action focused, and memorable.High proficiency with advanced analytical techniques and SQL.Ability to communicate insights to senior executives verbally, visually, and in writing.A trust in and commitment to Etsy’s vision, mission and values.
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. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.
|
Senior Applied Scientist Ii Knowledge Base | 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?
The Knowledge Base team builds a deeper understanding of our buyers, sellers, listings and entities in order to help enable product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers. We produce models, signals, attributes, graphs and structured data that are being consumed by our Machine Learning, Analytics, Engineering and Product partners.
We are looking for an experienced machine learning engineer who can help build Etsy’s next generation capabilities for marketplace understanding.
This is a full-time position reporting to the Senior Manager, Data Science. 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 does the day-to-day look like?
Build and contribute at all levels of Etsy’s machine learning and knowledge base stack, ranging from application interfaces to the serving layerWork closely with applied scientists to scale ML solutions across knowledge base, e.g. NLP, deep learning, graph based learning and structured dataWork closely and collaboratively with various engineering teams participating in design, prioritization, and implementationEnable building rich, semantic understanding of the various kinds of content and inventory in Etsy’s marketplaceOf 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:
You understand that being an effective engineer is about communicating with people as much as it is about writing code.You are willing to work with and improve code you did not originally write.You can tackle unconstrained problems and know when to seek help.You are flexible with languages and tools and are willing to learn whatever is necessary to get the job done.You have experience with object-oriented programming languages: Python, Scala, etc.You have experience with machine learning frameworks (like PySpark, Scalding, etc.).You have familiarity with machine learning and deep learning solutions across the entire machine learning stack, from data collection to evaluation.You have familiarity with a few of the following: writing and scheduling ETL pipelines, writing SQL queries for exploration and analysis, tuning mapreduce jobs and cluster resources, building and monitoring cloud services, stream processing systems like Kafka Streams, Spark, or Dataflow.You have strong verbal and written communication skills.
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. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.
|
Senior Applied Scientist I Recommendations Personalization | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
What’s the role?
We are looking for an experienced Applied Machine Learning Scientist to join our Recommendations and Personalization organization in order to help enable product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers.
As an Applied Scientist, you will work closely with Software Engineers to build custom machine-learning models in the domain application of Recommendations, Computer Vision, and Knowledge Base (Structured data). We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as: Ranking, Optimization, Natural Language Processing, Deep Learning, Graph Learning, and Reinforcement Learning to help improve the Etsy buyer/seller search experience!
This is a full-time position reporting to the Engineering Manager. For this role, we are considering candidates based in the U.S. 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 does the day-to-day look like?
Use ML to build rich, semantic understanding of the various kinds of content and inventory in Etsy’s marketplaceBuild user models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyersUse representation learning to capture different kinds of relationships between Etsy’s inventory based on categorical, stylistic, or thematic similarityDevelop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized ranking, revenue optimization, seller fairness, and seasonalityWork closely with software engineers, data scientists, product managers, and designersOf 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:
Successful track record of applying machine learning techniques in addressing real-world problemsExperience with / working in one of the following fields: reinforcement learning, deep learning, or computer visionShown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready codeAbility to write and manipulate data at a large scale, in distributed environments
Preferred requirements:
An M.S. or Ph.D. degree in Computer Science or related engineering fields, or 3+ years of practical machine learning experienceExperience using Google Cloud PlatformExperience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully 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 write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.
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. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.
|
Data Science Manager | Shopify |
Company Description
Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with millions of merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.
Job Description
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.
What your role will look like:
Partner closely with product, engineering and other RnD stakeholders to guide their decisions using dataProactively identify and champion projects that solve complex problems across multiple domainsApply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our businessDesign and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processesEmpower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Qualifications
You will need to have:
7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teamsExperience building and managing high performance data science teamsExperience delivering business impact through analysis and data productsExperience building data pipelines and driving ETL design decisionsTechnical leadership and management experience (you enjoy doing both). You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your teamExperience creating data product strategies, shipping data products, iterating after launch, and trying againExtensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentalsStrong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Previous experience using Spark (either via Scala or Pyspark)Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcomeExperience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
Additional Information
All your information will be kept confidential according to EEO guidelines.
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.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#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.
|
Staff Lead Data Scientist | Shopify |
Company Description
Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with millions of merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.
Job Description
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problemsYou have well built technical experience that inspires individual contributors creativity and innovation. You have experience with product leadership and technical decision making.You have been working closely with various levels of business stakeholders, from c-suite and down.You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.Experience creating data product strategies, data products, iterating after launch, and trying again.Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
What would be great if you have:
Previous experience using Spark.Experience with statistical methods like regression, GLMs or experiment design and analysis.Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
Additional Information
All your information will be kept confidential according to EEO guidelines.
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.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#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.
|
Senior Data Scientist Shop | Shopify |
Company Description
Shopify and Shop are now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
Shopify has focused the last decade on solving complex problems for entrepreneurs by making commerce seamless and accessible. Now, we want to do the same for customers through Shop.
Shop is on a mission to change how we shop. From the fastest checkout experience in Shop Pay to all-in-one order tracking and easy ways to find and shop local brands in app, Shop is making shopping better one step at a time for both shoppers and the merchants they buy from. Having launched less than a year ago, Shop is already one of the top 5 apps in North America and we're just getting started.
Job Description
We're looking for a Senior Data Scientist to join our team as we turn Shop into one of the most beloved products and brands in the world. We want shoppers to be able to develop meaningful connections with the brands they love, and we believe that Shop is the answer to helping foster those relationships with the powerhouse of Shopify merchants we love and support.
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Your responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domainsPartner closely with product, engineering and other business leaders to influence product and program decisions with dataApply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our businessDesign and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processesBuild actionable KPIs, production-quality dashboards, informative deep dives, and scalable data productsInfluence leadership to drive more data-informed decisionsDefine and advance best practices within data science and product teams
Qualifications
You will need to have:
4-6 years of commercial experience as a Data Scientist solving high impact business problemsExtensive experience with Python and software engineering fundamentalsExperience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholdersCuriosity about the problem domain and an analytical approachStrong sense of ownership and growth mindset
It would be nice if you have:
Deep understanding of advanced SQL techniquesExpertise with statistical techniques and their applications in businessMasterful data storytelling and strategic thinkingDeep understanding of dimensional modelling and scaling ETL pipelinesExperience launching productionized machine learning models at scaleExtensive domain experience in e-commerce, marketing or SaaS
Additional Information
All your information will be kept confidential according to EEO guidelines.
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. We want to know what you're really interested in building and why you want to build it at Shop, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.#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.
|
Senior Data Scientist | Shopify |
Company Description
Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with millions of merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.
Job Description
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domainsPartner closely with product, engineering and other business leaders to influence product and program decisions with dataApply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our businessDesign and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processesBuild actionable KPIs, production-quality dashboards, informative deep dives, and scalable data productsInfluence leadership to drive more data-informed decisionsDefine and advance best practices within data science and product teams
Qualifications
4-6 years of commercial experience as a Data Scientist solving high impact business problemsExtensive experience with Python and software engineering fundamentalsExperience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholdersCuriosity about the problem domain and an analytical approachStrong sense of ownership and growth mindset
Experience with one or more:
Deep understanding of advanced SQL techniquesExpertise with statistical techniques and their applications in businessMasterful data storytelling and strategic thinkingDeep understanding of dimensional modelling and scaling ETL pipelinesExperience launching productionized machine learning models at scaleExtensive domain experience in e-commerce, marketing or SaaS
Additional Information
All your information will be kept confidential according to EEO guidelines.
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.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#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.
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Senior Data Scientist Product Analytics | Vsco |
You are curious and driven to collect, analyze and interpret data that will be used to inform product decisions. You can break down complex and ambiguous technical questions and provide clear answers in return. You are not afraid of digging into the data and working across teams to find missing pieces. You care about the integrity and validity of the data. You are excited to help co-workers solve data puzzles, and even more so to teach them how to do it on their own.
VSCO is looking for a Senior Data Scientist to take our data practice to the next level. You will work with our Director of Data Science to build our data model with industry best practice, extract insights from user data to influence the product roadmap, design experiments to measure product impact, and develop automated processes to enable self-serve analytics . You will take a leading role in defining how we leverage data at VSCO, scope out projects, propose approaches, and drive them to completion.
The day-to-day
Conduct exploratory analysis to uncover the drivers of user engagement and retention, and produce actionable recommendations
Guide the instrumentation, testing, and analysis of new features in collaboration with the Product Team
Collaborate with our Data Engineering team to drive improvements in data quality for reporting and ad hoc analysis
Build scalable reporting and visualizations to help teams measure product and business performance
Help grow the data science team
Qualifications
Bachelor or Master’s degree in Statistics, Applied Mathematics, Computer Science, Economics, or other quantitative field, or equivalent experience
4+ years of full-time work experience as a Data Analyst or Data Scientist at a consumer internet company
Demonstrated experience extracting, manipulating, and analyzing complex data using SQL and R/Python
Good understanding of ETL and data pipelines; Hands-on experience cleaning and aggregating large data sets for analysis and visualization (AIrflow/SQL/MapReduce)
Deep understanding and working knowledge of statistical analysis techniques such as hypothesis testing and regression analysis
Expert in communication, with a consistent track record of partnering across various teams and disciplines
Nice to have
Expert in writing ETL and data manipulation scripts in Airflow, Hive, or Spark
Experience working with subscription-based mobile applications
A deep appreciation for photography and the visual arts
About VSCO
VSCO is a mobile app that helps you create beautiful, professional-looking photos and videos right from your mobile phone. We offer extensive high-end photo and video editing features, including 200+ presets, and access to a vibrant global community that inspires people to create and share their diverse experiences with one another. Across all products and services, VSCO’s mission is to help everybody fall in love with their own creativity.
Job Perks
A virtual first workplace with quarterly company-wide travel events to connect and play. Equity, health, vision, dental insurance for families, flexible vacation policy, Creative Fridays, VSCO Create weeks (our version of hack week), and so much more. Flexibility is the goal.
Why VSCO?
Creative Freedom
We value the creative process and our employees’ opinions — input is encouraged, regardless of your position or title. We want to work with people who are driven and demonstrate initiative in taking our mission to the next level.
The Working Life
At VSCO, everyone works hard but also takes the time to enjoy life outside of the office. Balance is important to us.
It Won’t Be Boring
Try new things, push beyond what is known, and explore what might be possible. We celebrate an environment that fights stagnation and challenges the status quo.
Interested in this position?
Tell us why you want to work at VSCO and what we should know about you.
VSCO believes in building a safe place for creative expression and celebrating that which makes us human, welcoming unique and personal backgrounds and experiences. We’re proud to foster diverse perspectives within VSCO as we continue to build an inclusive culture.
#LI-Remote
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Data Scientist Product Analytics | Vsco |
You are curious and driven to collect, analyze and interpret data that will be used to inform product decisions. You can break down complex and ambiguous technical questions and provide clear answers in return. You are not afraid of digging into the data and working across teams to find missing pieces. You care about the integrity and validity of the data. You are excited to help co-workers solve data puzzles, and even more so to teach them how to do it on their own.
VSCO is looking for a Data Scientist to take our data practice to the next level. You will work with our Head of Data Science to build our data model with industry best practice, extract insights from user data to influence the product roadmap, design experiments to measure product impact, and develop automated processes to enable self-serve analytics . You will take a leading role in defining how we leverage data at VSCO, scope out projects, propose approaches, and drive them to completion.
The day-to-day
Conduct exploratory analysis to uncover the drivers of user engagement and retention, and produce actionable recommendations
Guide the instrumentation, testing, and analysis of new features in collaboration with the Product Team
Collaborate with our Data Engineering team to drive improvements in data quality for reporting and ad hoc analysis
Build scalable reporting and visualizations to help teams measure product and business performance
Help grow the data science team
Qualifications
Bachelor or Master’s degree in Statistics, Applied Mathematics, Computer Science, Economics, or other quantitative field, or equivalent experience
2+ years of full-time work experience as a Data Analyst or Data Scientist at a consumer internet company
Demonstrated experience extracting, manipulating, and analyzing complex data using SQL and R/Python
Good understanding of ETL and data pipelines; Hands-on experience cleaning and aggregating large data sets for analysis and visualization (AIrflow/SQL/MapReduce)
Deep understanding and working knowledge of statistical analysis techniques such as hypothesis testing and regression analysis
Expert in communication, with a consistent track record of partnering across various teams and disciplines
Nice to have
Expert in writing ETL and data manipulation scripts in Airflow, Hive, or Spark
Experience working with subscription-based mobile applications
A deep appreciation for photography and the visual arts
About VSCO
VSCO is a mobile app that helps you create beautiful, professional-looking photos and videos right from your mobile phone. We offer extensive high-end photo and video editing features, including 200+ presets, and access to a vibrant global community that inspires people to create and to share their diverse experiences with one another. Across all products and services, VSCO’s mission is to help everybody fall in love with their own creativity.
Job Perks
A virtual first workplace with quarterly company-wide travel events to connect and play. Equity, health, vision, dental insurance for families, flexible vacation policy, Creative Fridays, VSCO Create weeks (our version of hack week), and so much more. Flexibility is the goal.
Why VSCO?
Creative Freedom
We value the creative process and our employees’ opinions — input is encouraged, regardless of your position or title. We want to work with people who are driven and demonstrate initiative in taking our mission to the next level.
The Working Life
At VSCO, everyone works hard but also takes the time to enjoy life outside of the office. Balance is important to us.
It Won’t Be Boring
Try new things. Think outside the box. We celebrate an environment that fights stagnation and challenges the status quo.
Interested in this position?
Tell us why you want to work at VSCO and what we should know about you.
VSCO believes in building a safe place for creative expression and celebrating that which makes us human, welcoming unique and personal backgrounds and experiences. We’re proud to foster diverse perspectives within VSCO as we continue to build an inclusive culture.
#LI-Remote
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Senior Data Scientist | Sensor Tower |
Role Summary:
Data Scientists at Sensor Tower are hybrid data scientists and software engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they’re working on.
We are looking for a hands-on thinker to help harvest new insights from our constantly growing foundation of quantitative information collected from the mobile app ecosystem.
We are a remote first company and at this time are only able to hire folks who reside in the following states: California, Colorado, Florida, Iowa, Massachusetts, New Jersey, New Mexico, New York, Oregon, Texas and Washington.
What you will be focusing on
Prototype machine learning models in Python or Ruby
Work with MongoDB and analyze query performance to ensure calculation efficiency
Write tests for the implementation of machine learning models
Collaborate with back-end engineers to understand the raw data being collected
Collaborate with front-end engineers to create data visualizations for both external and internal customers
Conduct ad-hoc data analysis based on requests from the Sales, CSM or Contents team
Present results of various data analysis
Experience which will be beneficial
Master’s degree or above in mathematics, statistics, or computer science
3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence
Ability to write code that is ready for production (Python and Ruby preferred)
Experience with adjusting data for bias
Substantial experience with databases, querying data, and data structure manipulation
Ability to communicate effectively with technical developers and non-technical marketing business partners
Ability to produce rough timelines for deliveries plus solid understanding of steps necessary to complete a project
Ability to come up with a rough project structure from scratch
Ability to critically analyse given data, ask probing questions, and perform own research
Substantial knowledge of statistical modeling techniques
Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets
About Sensor Tower
Sensor Tower is a high-growth SaaS company that provides accurate, comprehensive, and customizable mobile market economy analytics to app developers, game developers, industry analysts and investors. Founded in 2013, Sensor Tower has grown from a $1M seed investment to being profitable and in 2020 we received a $42M growth investment from Riverwood Capital.
Why Sensor Tower?
Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!
Our benefits include:
- Flexible time off so employees can shape their time away from work.
- Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
- Monthly internet stipend and a one-time $500 home office stipend.
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, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.
#LI-Remote
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Data Scientist Ads Sales | Quora |
[As of June 2020, Quora has become a "remote-first" company. This position can be performed remotely from anywhere in the world, regardless of any location that might be specified above.]
About Quora:
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. We want to democratize access to knowledge of all kinds — from politics to painting, cooking to coding, etymology to experiences — so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
About the Team:
Unsurprisingly, then, the Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our rigor-driven experimentation processes to the backgrounds of our leaders (including many Product Managers and the Head of Product being former full-time data scientists). With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and work to advance our culture of rational decision making.
About the Role:
As a data scientist in ads, you'll work closely with sales leadership, product managers, and engineers to devise appropriate measurements and metrics, build visualizations, design randomized controlled experiments, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. In this role, you will deliver data-driven insights to guide our business strategy and extract untapped value in our platform by developing a deep understanding of our advertisers and users. Quora has a wide range of rich data, giving you ample room for exploration and creativity. For more about our work, see Quora's Data blog at https://data.quora.com/.
Responsibilities:
Extract actionable insights from broad, open-ended questions to influence sales and product strategy and drive roadmap decisions
Analyze data to understand the root causes of metric movements and uncover growth opportunities
Design and evaluate A/B tests to make informed recommendations on product changes
Develop metrics and create dashboards to orient the direction of business development and track the success of the business
Communicate insights and recommendations to key partners
Improve the work of other data scientists through mentorship, tool development, and by bringing good industry practices to the team
Minimum Qualifications:
Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time). Learn why here
B.S., M.S., or Ph.D. in a quantitative field
2+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
Proficiency in using SQL and procedural programming languages (e.g. Python, R) to manipulate and analyze data
Familiarity with theoretical foundations of statistical techniques (e.g. hypothesis testing, regression)
Demonstrated ability to exercise judgment and combine quantitative skills with intuition to translate numbers into insights
Demonstrated ability to clearly explain data results to cross-functional teams
Preferred Qualifications:
4+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
Experience evangelizing best practices and process improvements on your team
Experience working with large data sets and distributed computing tools (e.g. Presto, Redshift)
Experience pushing code and navigating a complex codebase
Active Quora user with curiosity about the product
We are an equal opportunity employer and value diversity 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.
California Consumer Privacy Act (CCPA) disclosure
#li-remote
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Senior Data Scientist Analytics | Crisis Text Line |
Role:
As a Data Scientist, you will partner closely with a cross-disciplinary group of staff, including a mix of engineering, product, data, coaching, and clinical staff, to collect, analyze, and share evidence that will inform critical business decisions and organizational storytelling. Through this work, you’ll help to create a culture of evidence-based decision-making that will increase our organization’s impact on our mission of supporting people in crisis.
Responsibilities:
Own end to end data pipelines, from data collection to presentation of metrics.
Identify gaps in the product and operational processes, build analytical models to find insights and help drive decisions across the org.
Develop in-depth analysis to answer strategic business questions.
Define best practices and new processes to collect and analyze data.
Communicate and share data in a digestible way with the rest of our organization.
Establish effective partnerships with key stakeholders including Product Managers, Engineers, Designers and Operation Managers.
Be responsible for evangelizing a data driven culture across the board.
Spread knowledge and provide mentorship.
Consider ethics, equity, security, privacy, and confidentiality, in all work.
Minimum Qualifications:
+6 years of experience in the Analytics and Data Science space.
Proficiency in SQL and Python.
Experience using business intelligence tools (e.g. Sisense, PowerBI, etc.)
Experience with machine learning and operations research.
Excellent attention to detail and highly organized.
Advanced communication and storytelling experience that influences all organizational levels and drives business decisions.
Exhibit grit, high integrity, a team mindset, and an affinity for continuous learning.
Enjoy wrangling real-world complexity into deceivingly simple solutions.
Thrive in a collaborative, diverse environment.
Preferred Qualifications:
Knowledge of NLP techniques to extract insights from text.
Experience building, scheduling and maintaining data pipelines in Scala or PySpark.
Ability to write clean and modular code and work with version control tools.
Ability to create project plans to identify tasks, milestones, and deliverables.
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Senior Data Scientist | Wattpad |
Wattpad is a global multiplatform entertainment company whose vision is to entertain and connect the world through stories. Since 2006, we’ve been on a mission to use the power of community and technology to unleash the full potential of stories to the world. Every month 90 million people around the world spend over 23 billion minutes on Wattpad to share and discover stories they can’t find anywhere else.  Our brand banner includes: Wattpad, W Ventures, Wattpad WEBTOON Studios, Wattpad Books and Wattpad Brand Partnerships. We’re proudly based in Toronto, but our reach is global. Come build the future of entertainment and storytelling, and write your next chapter with us!
At Wattpad, we have a massive scale and reach across our global users; this is what makes us unique. It’s been an exciting time of growth, change and development for Wattpad. Working at Wattpad, you will have access to large and unique data sources. In addition to a massive corpus of stories, we work with engagement data such as comments, votes (i.e., likes), and conversations between readers and creators. These conversations and engagements have driven the popularity of hit fiction titles such as 'After', 'The Kissing Booth', 'I am a Gay Wizard', and many others. 
Data Science (DS) Team
The Data Science (DS) team closely partners with business, product and technical stakeholders. We develop ML models for new data products which we then serve in collaboration with other teams in the Data Org. We also conduct deep-dive analyses, product experimentation, hypotheses testing to generate data insights and make recommendations to our stakeholders. Come join us to build the next iteration of our data and ML products!
What you'll do:
Work closely with business and product teams to perform analyses, conduct investigative research and turn data into actionable insights and recommendations 
Build queries, metrics and conduct in-depth analysis to understand content, user engagement and behaviour
Develop new ML models and create prototype implementations focusing on applications to various challenging business problems
Partner with product on experiment design and analysis, hypothesis development and success metrics
Prepare and integrate large, varied datasets and also maintain them for analytics and ML use cases
Uphold high data science standards and best practices
Do you have most of the following? If so, apply!
You have a passion for solving business problems through data
You have a diverse set of tools in your Data Science toolbox - Statistical Modeling, Machine Learning, Product experimentation, Software engineering to name a few
3+ years experience working with business and product stakeholders in the capacity of a data partner
Experience in applied machine learning or quantitative role with knowledge in statistical machine learning and deep learning techniques
Comfort working with complex, high dimensional data
Fluency with Python or R
Advanced knowledge of SQL
Development experience involving data pipelines and/or large-scale data processing
You have a systematic approach to project planning and dealing with ambiguity
You are able to articulate the strengths and weaknesses of solutions and to reason about the compromises required for systems at scale
What we offer:
Competitive salary
Career development; we believe in mentorship and investing in your learning, supporting you to achieve your goals
Health benefits, fully covered by us!
RRSP Contributions (Canada), 401K Contributions (USA)
Generous vacation and Parental Leave Top-up
Monthly home office allowance, choice of hardware, flexible hours, and remote work options
Corporate discount for gym membership for you and your family
Summer Fridays with afternoons off!
And a whole lot more!
Wattpad is conducting all interviews in a distributed manner using applicable third party software where needed and using visual interface tools such as Google Hangouts and Zoom.
About Wattpad
Who are we? Entrepreneurs and Do-ers. Our vision is to entertain and connect the world through stories, and our mission is to use the power of community and technology to unleash the full potential of stories to the world.
What does that mean? We are visionaries, community builders, passionate problem solvers, storytellers, coffee snobs (tea drinkers, too!), curious by nature, and culturally diverse.
What are we obsessed with? Our users. Solving complex problems and maximizing flow. Learning constantly. Building the next great storytelling product. Finding the greatest stories ever told. Dogs (and cats), coffee, and good snacks.
How do we work? Autonomously, collaboratively, respectfully. Balancing with work, family, and play...and all while having a great time.
Wattpad is a remote friendly company and encourages remote candidates to apply as long as they are located and authorized to work in either the US or Canada (excluding Quebec) as a precondition of employment. We are not able to sponsor applicants for work permits.
If you happen to live near the areas of either Toronto, Ontario or Halifax, Nova Scotia, you may also have the opportunity to work from our beautiful offices - 1 located in Downtown Toronto and the other in Downtown Halifax, both with easy access to transit.
Culture and Diversity
Wattpad is an equal opportunity employer. We do not discriminate. Period. 
Wattpad welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. We have taken a leadership position on creating a culture and an organization that truly values diversity. We are committed to fostering a global team that reflects the diversity of the Wattpad community. At Wattpad, we believe cultural fit doesn’t mean culturally identical, and diversity of thought helps us to challenge one another to think big and think differently. We consider employment applicants without regard to age, race, colour, national origin, citizenship, religion, creed, sex, sexual orientation, veteran status, marital status, disability status or any other protected status.  
If you have any special needs or accessibility requirements, please let us know. We will do our utmost to accommodate, in accordance with applicable local legislation.
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Senior Data Scientist Marketing | Loom |
The Role
We’re looking to add a Senior Data Scientist to our growing Data team to help us measure the impact of ourMarketing initiatives (Marketing and Sales) and identify growth and optimization opportunities to unlock the next stage of Loom’s growth.
We have rich, complex datasets and our team performs a wide variety of analytical tasks, ranging from conducting ad-hoc research, creating dashboards, building funnels, designing and evaluating tests, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator.
* We are currently hiring remotely in the United States and Canada
Responsibilities
Measure the impact ofMarketing initiatives (Marketing & Sales) and identify growth and optimization opportunities
Partner with Marketing and Sales teams to provide data support through dashboards, analyses and adhoc requests
Design and develop core business metrics, create insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
Build marketing attribution to understand where users are coming from, ROI on campaigns and lifetime value model to inform customer acquisition costs
Proactively derive data insights and turn them into growth recommendations, communicate results and learnings to the rest of the team
Develop a thorough understanding of traffic, funnels, conversion rates and user behavior using large clickstream event data (from web and mobile apps)
What We're Looking For
5+ years of experience in a data science or analytics role turning data into insights and recommendations
Strong analytical and communication skills with the ability to synthesize insights into compelling stories
Experience with marketing attribution, lifetime value and churn prediction models
Good business sense, marketing, sales and acquisition domain knowledge
Proficiency in SQL (Snowflake, Postgres) - able to write structured and efficient queries on large data sets
Experience with a statistical scripting language (e.g. R or Python)
Experience with a Business Intelligence tool (e.g. Tableau or Mode)
Experience with Google Analytics and the underlying data in BigQuery is a plus
Experience with ETL tools such as Airflow or DBT is a plus
A Bachelor’s Degree in a quantitative field or higher
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Data Scientist | Grammarly |
Grammarly team members in this role must be based in the United States or Canada.
The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientists at all levels of experience—early career, senior, staff, and tech lead—to work with product partners to understand our users, contribute to product and growth strategy, and develop fundamental measurement frameworks.
Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:
Take on a broad scope of work and an evolving role in a rapidly growing company.
Conduct deep-dive analyses into user behavior.
Quantitatively study large user segments.
Develop user segment targeting strategy.
Drive direction on the Product and Growth teams.
Identify new product and growth opportunities.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
Define advanced metrics.
Advise on experimentation strategy.
Identify strategic data needs.
We’re looking for someone who
Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 2–4 weeks per quarter, traveling if necessary to the hub where the team is based.
Holds a PhD or master’s degree in a quantitative field.
Has 3+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.
Support for you, professionally and personally
Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.
A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.
Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.
For Colorado-based employment: The base salary range (excluding equity) for this position is $156,000-286,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with applicable law. Grammarly is an equal opportunity employer and a participant in the US Federal E-Verify program.
Grammarly currently supports the long-term work of team members in the following US states: Arizona, California, Colorado, Florida, Georgia, Illinois, Maine, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania (Kennett Township, New London Township, Pittsburgh City, Shaler Township), South Carolina, Texas, Utah, Virginia, and Washington, as well as the District of Columbia
Grammarly currently supports the long-term work of team members in the following Canadian provinces: British Columbia, Ontario
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Data Science Manager | Grammarly |
Grammarly team members in this role must be based in the United States or Canada.
The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientist Managers to lead teams and work with product partners by understanding our users, contributing to product and growth strategy, and developing fundamental measurement frameworks. Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s data scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist Manager, you will:
Have a broad scope and an evolving role in a rapidly growing company.
Lead, motivate, and grow a team of talented data scientists to drive business growth and product roadmaps using data.
Be a thought leader to influence the product and business partners.
Identify new Product and Growth opportunities.
Provide data-driven solutions to complex product and growth questions.
Advise on experimentation strategy.
Identify strategic data needs.
We’re looking for someone who
Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 2–4 weeks per quarter, traveling if necessary to the hub where the team is based.
Preferably has 3 years of experience managing data science teams.
Has experience as an influential and effective thought partner to product teams and shows strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient with SQL as well as programming in Python, R, Scala, or an equivalent language.
Holds a PhD in a quantitative field or a master’s in a quantitative field with a minimum of 3 years of relevant working experience.
Support for you, professionally and personally
Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.
A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.
Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.
For Colorado-based employment: The base salary range (excluding equity) for this position is $192,000-$326,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with applicable law. Grammarly is an equal opportunity employer and a participant in the US Federal E-Verify program.
Grammarly currently supports the long-term work of team members in the following US states: Arizona, California, Colorado, Florida, Georgia, Illinois, Maine, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania (Kennett Township, New London Township, Pittsburgh City, Shaler Township), South Carolina, Texas, Utah, Virginia, and Washington, as well as the District of Columbia
Grammarly currently supports the long-term work of team members in the following Canadian provinces: British Columbia, Ontario
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Principal Data Scientist | Best Egg |
Best Egg is a consumer financial technology platform that aims to help people feel more confident about their everyday finances through a suite of products and resources. Our digital financial platform offers simple, accessible, and personalized financial solutions including personal loans, credit cards, and a financial health resource center.
Our culture and values are one of the core reasons why our customers keep returning to Best Egg. We are committed to championing a culture of inclusiveness and diversity of thought, and we focus on providing a safe, flexible, and collaborative work environment. Our associates are encouraged to engage in creative problem solving, and we promote opportunities for growth and enrichment across the organization.
If you are inspired by inspiring others, Best Egg is the place for you.
Best Egg celebrates diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we will grow.
Marlette Data Science Team
At Marlette we believe everybody should have the opportunity to enjoy life. As a fast growing fintech, we are on a mission to help our customers gain easy access to funds and reach their financial goals. Our Best Egg personal loan product has an impeccable record and stands out in the industry with its strong value proposition and overwhelmingly positive customer reviews.
Be a part of a growing team with a collaborative group of skilled Data Scientists and MLOps Engineers working at the cutting edge within our industry and constantly advancing our AI/ML practices for on/off line production-grade tools. Our Data Science team is dedicated to power the business with projects across credit risk, financial health, KYC/fraud, marketing, operations, servicing and many more! We have a direct engagement model between data scientists and business stakeholders.
Duties& Responsibilities
Responsible for leading AI innovations/tools to create values through Deep Learning, NLP, Graphs and more supporting business functions.
Set vision, educate and evangelize use cases of advanced analytics and data science application.
Access a deep set of application, bureau, web, and alternative data to gain insights and convert these insights into actionable strategies and tools.
Play with end-to-end AI/ML pipelines including data extraction, feature engineering, model building, performance evaluation and implementation.
Liaise with MLOps and technology teams to build capabilities and infrastructure.
Liaise with data team to identify opportunities in new and/or alternative data sources.
Take ownership of a rich library of AI/ML tools and enjoy authority to continue to research efficient and effective strategies.
Stay concurrent with the cutting edge and bleeding edge of NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions.
Requirements
You should have a Master or PhD in quantitative fields, preferably Math, Physics, Statistics, Engineering, Computer Science or Data Science.
You should have a solid foundational understanding and hands-on experience of the technical aspects of Data Science – statistics, experimental designs, AI/ML techniques, and big data query/manipulation (structured and un-structured).
Fluency in Python, SQL, Git. Proficiency in deep learning frameworks like Tensorflow and Keras.
Must have hands-on experience in NLP, recommender system, network graph, marketing mix/attribution, computational advertising, or computer vision/voice processing
Experience with adaptive models is a plus.
Experience with design, implementation and governance with Artificial Intelligence, Natural Language Processing or Machine Learning Architecture is a plus
You should have deep understanding of the business dynamics; and proactively lead/conduct exploratory data analyses and experimental designs.
You should have strong communication and influential skills necessary to ensure high synergy and alignment with other business functions.
You should be a team- and result-oriented, and self-driven superstar with minimal supervision, as well as open-minded and strategic thinker.
Our Brand:
At Best Egg, we believe money should be accessible so people can reach their goals, live a fuller life, and feel pride in knowing they have taken control of their finances. For those who need extra money to achieve the progress they seek in life, Best Egg is the modern solution-minded finance provider that mixes decades of banking experience with smart technology and deep customer insight to create products designed for today’s borrower, so that people can establish a smoother financial path. The egg symbolizes protection and a fresh start.
Employee Benefits
Best Egg offers many additional benefits for our employees, including (but not limited to):
· Pre-tax and post-tax retirement savings plans with a competitive company matching
program
· Generous paid time-off plans including vacation, personal/sick time, paid short--
term and long-term disability leaves, paid parental leave, and paid company
holidays
· Multiple health care plans to choose from, including dental and vision options
· Flexible Spending Plans for Health Care, Dependent Care, and Health
Reimbursement Accounts
· Company-paid benefits such as life insurance, wellness platforms, employee
assistance programs, and Health Advocate programs
· Other great discounted benefits include identity theft protection, pet insurance,
fitness center reimbursements, and many more!
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Full Stack Data Scientist | Veho |
About Veho
Veho is a technology-driven shipping company that enables personalized next-day package delivery, extending partner brand value. Veho brand partners have seen a 20% increase in customer repurchase, 40% increase in customer lifetime value, and 8% rise in net promoter score.
Veho gives package recipients greater insight and control, letting them know when they will receive their package, when drivers are en route, and enables real-time rescheduling, address changes, and personal delivery instructions. Veho's technology matches demand for package delivery with a network of qualified crowdsourced driver partners, ensuring every package is delivered on time and correctly.
The concept for Veho started as a school project while co-founder Itamar Zur attended Harvard Business School. Zur constantly experienced issues receiving packages - from getting the dreaded “we missed you” note, to stolen packages. He set out to fix the problem so many customers and brands face.
Today, Veho’s robust technology platform provides customers and e-commerce brands with an unparalleled shipping experience, an industry record 99.9% average on-time performance for next-day delivery and an average 4.9-star customer rating. With teammates in 30 U.S. states, Veho will be in 50 markets by the end of 2022.
As a Full-Stack Data Scientist, you’ll be directly embedded in a team of talented software engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving user experiences. You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting edge technology. You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho.
Responsibilities Include:
Understanding business context and gathering requirements
Building and iterating on models to meet requirements using Python or some other language
Building and iterating on data pipelines to feed analysis and productized models
Integrating models into production systems using MLOps best practices
Ensuring data quality and data integrity through best practices in data integration
Analyzing impact and effectiveness of models in production systems
What You Bring:
Bachelor’s Degree plus 5 years of experience in data science or data engineering, or Master’s Degree plus 3 years in data science or data engineering
Basic understanding of statistical techniques like k-means clustering, regression, or decision trees
At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
At least 1 year of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
At least 1 year of experience working with AWS and its data engineering and data science tools
Experience with vehicle routing problems or logistics is nice to have, but not required
#LI-Remote
Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission: to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers. We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people. We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. Applicants must be able to understand and effectively communicate orally and in writing with all parties regarding work matters, which are generally conducted in English. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
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Data Scientist Marketplace | Opensea |
OpenSea is the first and largest marketplace for non-fungible tokens, or NFTs. Applications for NFTs include collectibles, gaming items, domain names, digital art, and many other items backed by a blockchain. OpenSea is an open, inclusive web3 platform, where individuals can come to explore NFTs and connect with each other to purchase and sell NFTs. At OpenSea, we're excited about building a platform that supports a brand new economy based on true digital ownership and are proud to be recognized as Y Combinator's #4 ranked top private company.
When hiring candidates, we look for signals that a candidate will thrive in our culture, where we default to trust, embrace feedback, grow rapidly, and love our work. We also know how critical it is to celebrate and support our differences. Employing a team rich in diverse thoughts, experiences and opinions enables our employees, our product and our community to flourish. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. To help facilitate this, we support remote, hybrid or onsite work at either New York City, San Francisco or the Silicon Valley for the majority of our opportunities.
OpenSea is looking for entrepreneurial Data Scientists to be founding members of our Marketplace Analytics team. They will work closely with the Marketplace Product & Engineering team to build a best-in-class system to optimize orders, match them, and offer them in a way that helps our buyers, creators, and sellers all achieve their goals while maintaining strong customer outcomes.
The ideal candidate will be deeply passionate about data & crypto and have a desire to deploy pioneering solutions against large scale problems. We are seeking candidates who are excited about wearing multiple hats and working closely with engineering and product to bring real solutions to market on fast timeframes, rapidly iterating from imperfect MVP through experimentation and development.
What You'll Do
Develop a deep understanding of OpenSea’s business and the larger NFT marketplace and leverage your experience to align our problems with the industry’s best solutions
Build and improve the optimization engines and predictive models that balance supply and demand in our marketplace, across all verticals and chains
Own these algorithms’ performance in production and continually evolve these services to deliver better outcomes over time
Model and forecast demand and supply to help us focus our efforts at building the most efficient, trusted NFT marketplace
Be able to forecast these for different consumer segments and verticals so we can have the most performant view of the market
Help increase the speed and confidence at which OpenSea can make and execute on data-driven decisions through the development of simulation, experimentation, and testing environments
Work with Business teams to continuously refine and improve the systems to cater to ever-changing OpenSea needs
If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.
Desired Skills
5+ years of experience in data science, with a strong quantitative background and specific experience in: modeling programmatic buying exchanges; and/or forecasting for traditional marketplaces; and/or consumer product classification; and/or personalization and recommendation systems
Experience in SQL, Python, Airflow, Mode, and Spark
Experience communicating effectively up, down, and sideways across the company, with thoughtfulness around optimizing asynchronous communication and tailoring communication to different preferred styles
Strong cross-functional skills and ability to operate under ambiguous and fast moving problem spaces
Humility, humor, curiosity, resourcefulness and a relentless drive to grow and learn
Nice to Have
Experience with Dune Analytics, Nansen or other web3 analytics tools like Nansen
Web3 experience, a love for the community, and/or a degen portfolio
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Staff 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 Staff 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
Work with Data Analysts to understand business problems and break them into components suitable for data science.
Identify and design training data with Data Analyst and present the benchmarks of models for the Staff Data Scientist to review.
Work with data science tools, e.g. SageMaker, ML Flow, Tensorflow, Python, Spark, SQL, etc. to build data models to quickly iterate on research ideas.
Identify areas of improvement in models, methods and data and continually iterate and improve them.
Work with Data Analysts and Data Engineers to get models into production at light speed!
SKILLS AND QUALIFICATIONS
Hands on experience building and validating statistical and machine learning methods to real world problems.
Strong programming skills with experience using modern packages in Python, and platforms like SageMaker, TensorFlow & MLFlow.
Must have hands on experience in “best in class” Natural Language Processing libraries (BERT, Ulmfit, Spacy etc).
Must have a graduate degree in Mathematics, Science or Computer Science/Engineering.
Bonus Qualifications
Bonus points for Insurtech background or commercial insurance experience!Must have at least 6 years experience working as a data scientist working in a super fast, highly iterative and highly collaborative team
2022 BOLD BENEFITS include, but are not limited to:
Medical, Dental, and Vision
Disability and Life Benefits
401K with a company match
Employee Assistance Program (EAP with 9 free sessions)
Parental Leave
Unlimited Vacation for Applicable Roles & Paid Time Off for all
Expanded Holiday Schedule - All Bold Penguin employees will have 9 paid holidays going forward.
Gatherings on the Glacier: A social hour for fun only.
Zoom-Free Zones: Bold Penguin is providing you time to focus and not be on calls.
Bold Weekends: You have "Optional Fridays" on identified dates communicated between Memorial and Labor Day weekends.
Remote Culture. Moving to Columbus is not an option? No problem. We're happy to discuss remote work options. 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 & Thursday 12:00 PM ET.
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.
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Senior Data Scientist | Postclick |
Who are we?
Postclick is the world's leading solution for digital advertising conversions. We blend personalization, optimization, machine learning, and human insight to guarantee marketers higher conversions.
We are innovators reshaping the digital marketing space. We champion big ideas, embrace cross-functional collaboration, and invite bold thinkers from all over the world to be a part of our teams. We bring passion to our roles, cultivate diverse perspectives, and never stop striving for powerful results. Informed by a decade of conversion data, our advertising conversion cloud creates personalized connections between brands and their customers. Like us, our technology is always in pursuit of better ways.
If you are excited to be part of this vision, read on!
About you
You thrive in your work and you want to be a part of an extraordinary team. You believe in having a diverse and inclusive culture that thinks big, moves fast, and cares about disrupting.
Primary areas of responsibility
You will work alongside talented engineers, product managers, scrum masters, and visual designers across several countries, on a young codebase, built with modern technology stacks and best practices
Day to day you will work in a Machine Learning team with a tech lead (and team manager), data engineers, peer data scientists and a product manager
Actively and constructively give and receive feedback to drive team success; you communicate where people stand honestly and sensitively
Support project completion amidst adversity with a positive attitude; able to shift in a quickly changing environment
Be a technical expert and your teammates and stakeholders learn from you
Participate in the strategy, planning, and execution of your team’s technology roadmap & OKR’s
Ensure technology standards and best practices are met
Translate status, needs and gaps upward to Software and Technology leadership to drive productivity and departmental goal achievement
Work with leadership to ensure a unified culture
Requirements
Graduate degree or equivalent experience
6+ years of working in Data Science, Analytics or Software Development
4+ years writing robust code in Python, Scala or an equivalent modern programming language
2+ years working in Data Science and Machine Learning teams
You have expert knowledge of statistics and AI/ML fundamentals
Prior experience with SQL/NoSQL databases and using SQL language
You have good knowledge of Python and its major data science libraries Experience working in a rapidly moving environment
Passionate about building efficient solutions to complex business problems, you step forward to lead and tackle challenging assignments
Able to break high-level business requirements into technical requirements in order to align with your product identities long term vision and alter the vision as needed as business needs evolve
Industry-leading benefits:
15 Days standard PTO
10 Paid U.S. holidays
12 Mental health PTO days
Generous monthly WFH Stipend and office set up allowance
Full health benefits (medical, dental, vision, sick leave) and 401(K)
Flexible work hours and a hybrid WFO/WFH/Remote culture
Top-of-the-line technology
Professional growth/continuing education
Next Steps
We are an equal opportunity employer searching for exceptional talent of diverse backgrounds, experiences, abilities, and perspectives. We are here to support every candidate and provide reasonable accommodations to help you apply, if needed.
If you’ve made it this far, we hope you’re as excited as we are about finding out if we’re a good fit for each other, let’s talk.
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Senior Data Scientist Ads Marketplace Analytics | Reddit |
We are looking for a Senior level Data Scientist to work with our Ads product team. You will partner closely with cross functional team leaders such as GPMs, EMs and leadership in utilizing data to drive decision making. In addition to strong analytical skills, you will have a keen business acumen and the big picture thinking that can guide our Marketplace strategy in a data driven manner.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.
We spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets.
As a data scientist on the ads data science team, you’ll be a key player in ensuring we make the right product decisions based on data insights and help define the culture that is driven through metrics and KPIs. Reddit sits in a unique place, where there are still a lot of low hanging fruit that will immediately impact millions of users and thousands of advertisers.
What You’ll Learn:
You will partner closely with our Ads Product and Engineering team, which is the core driver of revenue for the company. You’ll play a key role in developing Ads product strategy and experiments. You’ll play with petabytes of data full of user and advertiser interactions to develop a deeper understanding of Reddit’s ads ecosystem.
In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.
What You’ll Do:
Develop insights into Reddit advertising to help the company increase ads revenue while simultaneously improving end user experience and advertiser ROAS (Return on Ad Spend).
Conduct in-depth analyses across multiple dimensions to assess the health of the Reddit Ads marketplace and to help shape the strategic direction of Reddit Ads.
Collaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, and Data Warehouse Engineers, to take ownership of ads metrics and to drive experimentation rigor.
Design and develop dashboards and ETL processes to support the activities described above.
Contribute actively to build up the knowledge base both within the Ads organization and the wider Data organization.
Who You Might Be:
5+ years of experience in data analytics or related quantitative role.
2+ years of experience in an advertising platform such as (but not limited to) Google Ads, Facebook Ads, Twitter Ads, or Pinterest Ads.
Understanding of experimentation and A/B testing principles.
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit.
Strong ability to communicate and discuss complex topics with technical & non-technical audiences.
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python).
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker).
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Lead Data Scientist | Babylist |
Who We Are
Babylist is the leading destination for baby commerce, where 8 million people each year buy what they need to welcome a new baby. We serve parents and the community of grandparents, friends and relatives around each baby - connecting everyone who helps plan, prepare and shop for the new arrival. From the “add anything from anywhere” registry for new parents, to the expert advice and product ideas for gift givers, there is no more trusted, go-to solution for growing families.
Our Ways of Working
We’re a remote-first company with team members located across the United States spanning multiple time zones. This means we put in extra effort to make sure we connect and collaborate in ways that make sense for us. We know how valuable the flexibility of remote work is for our employees so people can get the work done in the way that suits them best. After all, many parents call Babylist their professional home, and sometimes, you just have to jump off that Zoom meeting to clean up that banana that’s getting stomped on by your 2 year old.
We know that personal connection is the foundation for the great work we do together. In order to quickly build those relationships, we offer the opportunity to meet with coworkers in person two times a year at a full company offsite and a departmental offsite. These are great opportunities to meet the people you work with every day and to do some of the work that is much more difficult to do virtually. Most of our roles are fully remote, but these opportunities to meet in person will involve limited amounts of travel. For some leaders, there might be more opportunities to get together in person that would require about 10% travel to Oakland, CA or elsewhere.
What the Role Is
As a Lead Data Scientist at Babylist, you’ll redefine how millions of users search and discover the products they will love as they prepare for one of life’s biggest events. You will partner with other Data Scientists, Product Managers and Engineers to understand users needs and improve the experience of building registries and shopping at Babylist.
Who You Are
You have a BS, MS or Ph.D. in computer science, engineering, mathematics, machine learning, (computational) physics or statistics.
You have strong mathematical, statistical methods and analytical skills.
You are fluent in Python, SQL, and with ML frameworks like TensorFlow, PyTorch, Scikit-learn, Spark ML, Torch, or RankFM.
You have at least 5+ years of professional experience working in a product-driven environment, 3+ years of which you are in one or more of the following: recommendation systems, search, natural language processing, or similar.
You have experience with training systems based on large scale implicit user behavior including handling feedback loops.
You deeply care about agile software processes, data-driven development, reliability, and responsible experimentation.
You have a track record of mentoring and growing collaborative teams.
Your Core Competencies Might Include:
Plans and Aligns
Cultivates Innovation
Collaborates
Manages Complexity
Drives Results
How You Will Make an Impact
You will be responsible for building and owning the next generation of personalization and product/content recommendation systems that will make the experience for our millions of Babylist users unique to them.
Facilitate collaboration with other engineers, product managers, and designers to build best-in-class ML powered search, ranking, and recommender systems.
You have process and past experience in a multitude of recommendation technologies, empowering you to understand the challenges of making discovery better continuously by hypothesis, modeling, and experimentation.
Be a data leader within Babylist.
Mentor and collaborate closely with other engineers and become a valued member of a diverse and autonomous team.
Continuously improve our product by innovating on the service through the usage of A/B tests.
Why You Will Love Working At Babylist
We are a remote first company and we invest in the infrastructure you’ll need to be supported and successful: tools, opportunities to connect with colleagues, and a stipend to help you set up your office
We build products that have a positive impact on millions of people’s lives
We work at a sustainable pace which means work/life balance is a real thing here
We believe technology and data can solve hard problems
We believe in exceptional management
We are an antiracist organization and doing the work to support differences of all kinds
We offer competitive pay and meaningful opportunities for career advancement
We have great benefits like company paid medical, dental, and vision, a generous paid parental leave policy, and 401k with company match
We care about employee wellbeing with perks for physical, mental and emotional health, parenting, childcare, and financial planning
If your experience is close to what we’re looking for, please consider applying. Experience comes in many forms – skills are transferable, and passion goes a long way. We know that diversity makes for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply.
#bi-remote
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Data Scientist | Oscar |
Hi, we're Oscar. We’re hiring Data Scientists to join our team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 40+ researchers, data scientists, and analysts to leverage our efforts!
About the roles:
We are looking for several new data team members across multiple roles and teams. A specific role and manager will be determined during the hiring process based on the highest priority need.
You will report into a data science leader (Associate Director or above). This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Connecticut, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, or Washington. Note, this list of states is subject to change. #LI-Remote
Responsibilities:
As a Data Scientist at Oscar you will:
Create strong partnerships with internal teams at Oscar to build out and leverage key data science insights that directly impact our members
Discover, understand, and organize disparate data sources and structure them into clean data models that unlock self-service analytics for internal teams
Work with stakeholders to evaluate existing programs and drive improvements through data-driven methods, as well as support the development of data-driven hypotheses
Use statistics and machine learning to explain and predict key aspects of our business
Your specific responsibilities will be determined by the particular role.
Requirements:
You have 2+ years of relevant work experience or a Master’s degree in a quantitative field; we encourage you to apply if you have more experience as well as we are hiring for multiple levels of Data Scientists within the team
You use data science tools like SQL and Python
You’re excited about being (or becoming) a decision-maker, not just an analyst
You know when to look outside the data to solve problems
Bonus points:
Knowledge of or previous work experience in health care, health economics, or health insurance
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
Life at Oscar:
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
We aim to make health care affordable and accessible for all, and apply this same vision to our perks and benefits, including: medical benefits, generous paid-time off, paid parental leave, retirement plans, company social events, stocked kitchens, wellness programs, and volunteer opportunities.
Pay Transparency Policy:
Oscar ensures that you won't be discharged or discriminated against based on whether you've inquired about, discussed, or disclosed your pay. Read the full policy here.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team ([email protected]) to make the need for an accommodation known.
To protect the health and safety of our employees, we require any employee conducting in-person work* to be fully vaccinated against COVID-19 by their start date. If you are unable to be vaccinated due to medical or protected religious reasons, please reach out to our Benefits team at [email protected] to submit an accommodations request.
*Note: In-person work includes: employees required to work from our offices, employees conducting sales work in the field and employees conducting at-home or in-person visits with members.
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Senior Data Scientist | The Mom Project |
Why you? You are a mission driven, customer obsessed, natural problem solver. You dig balanced startup life and can wrestle challenges and change with composure. You are a fearless and collaborative communicator, with the ability to make quick decisions while always in learning mode. You love big, interesting problems and bringing solutions to the masses while making sure it feels personal, authentic and connected. If this sounds like you, we'd like to talk.
Why us?
The Mom Project is a pioneering, remote-first venture-backed startup with roots in Chicago. We are backed by some of the best investors in the world and are lucky to be surrounded by an incredible team of advisors, including Serena Williams.
The Mom Project is a platform and community leading a cultural movement that matches companies with diverse talent. To date, our platform has unlocked over $300M in earning potential by connecting our 650,000+ moms, dads and allies with opportunities at world class brands like Apple, Accenture, Etsy and Nike… and we are just getting started!
Our team is growing as we push to rewrite the narrative for working women at every stage of life. We believe women should be able to choose both a successful family life AND career aspirations without sacrificing one over the other.
TMP Diversity Statement
We move forward when we all move together.
At The Mom Project, we understand the Moms we serve are not all the same and neither are the employees that support her. We are inspired by people who come from all walks of life.
Equality and inclusion at TMP is recognizing and honoring the uniqueness of each person who works to bring our mission to life, valuing all dimensions of diversity as our greatest asset.
We are committed to being a safe, respectful, fair, and inclusive culture for all.
About the Role:
We’re looking for a Senior Data Scientist to join our team! Our newest team member will lead the development, evaluation, and deployment of our resume-job match engine
Our data science team is full-stack, meaning we own the DS process end-to-end from training models to API deployment. We code in Python, and we use technologies like Docker, Redshift and PyTorch. We work in two-week sprints with daily scrums, bi-weekly planning, demos, and retros.
This role requires machine learning and natural language processing skills, experience using Elasticsearch, and fluent Python.
What you’ll do: Collaborate with data scientists, data engineers, product managers, and other TMP personnel to build new ML/AI features into our hiring and career management platform Lead the development of our NLP-based resume-job description match engine Work with product managers, data engineers, and solutions architects to scope out requirements for a project Undertake one-off ad hoc exploratory analyses to inform plans for delivering new AI/ML-based features Contribute to team’s knowledge and help us come up with the best processes for our team Advocate for best data practices including thinking about what data we should be collecting Develop tools to monitor our models and ensure their performance doesn’t degrade Write production-quality Python code for training, evaluating, deploying, and monitoring machine learning models Research how best to address particular business requirements using ML/AI techniques, making sure to keep in mind available time and resources
About you:
You have 5-10 years experience in software engineering, data engineering, or full-stack data science, ideally using Python You have solid SQL skills and an ability to gather and prepare the data you need to build match and other machine learning models You have, or can quickly develop, the capabilities to work as a full-stack data scientist, with an ability to write production-ready Python code, build and evaluate models from scratch, and run exploratory analyses of data You have an understanding of machine learning approaches including supervised and unsupervised modeling, collaborative filtering, deep learning, and natural language processing You apply industry best practices for data science projects You have experience writing production Python code that follows best software engineering practices including writing unit tests and Dockerizing projects You have a willingness to take on whatever work needed to get our AI/ML capabilities into production You are humble, curious, and hard-working
Why you’ll love working for TMP:
Compensation & Benefits:
Base Compensation Full medical, dental, vision Short and Long Term Disability Generous Paid Parental Leave Family planning benefits through Progyny Generous PTO (that people actually use!) 401K match Career Pathing Flexibility/Autonomy Talkspace
Let me see those Perks, Perks, Perks!
An incredible remote team that will support and champion your work Casual Culture: because work should be a place you want to be Health and Wellness stipend Learning and Development stipend Work From Home Stipend
We're just getting started. Join us in building the future of work.
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Lead Data Scientist Search And Personalization North America | Getty Images |
Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications. While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.
Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.
Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.
Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.
Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.
Lead Data Scientist, Search and Personalization - United States or Canada (Remote)
Duration: Permanent
Location: United States or Canada (Remote)
Start: ASAP
Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.
Who You Are:
We are looking for a Senior Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics!
Your Next Challenge:
Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy
Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process
What You'll Need:
Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 5 years validated experience
Proven expertise as a technical lead providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful
Mental and Physical Demands:
A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.)
Frequent communication with others to exchange information
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
Constant assessment of accuracy and thoroughness of the work assignment
Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.
Benefits at Getty Images
Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire. For more information on these benefits, you may request an electronic copy of our Benefits Guide.
Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.
Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.
Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.
Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.
401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!
Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.
Leadership Principles
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.
We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.
We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.
We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.
We care, are kind, courteous, and respectful
We will not tolerate rudeness.
We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.
We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.
We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.
We deliver on our commitments, and commercial goals
With one voice and shared accountability.
We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.
We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.
Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email [email protected].
Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.
For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.
Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.
Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.
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Data Scientist Us Or Canada | Getty Images |
Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications. While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.
Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.
Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.
Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.
Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.
Data Scientist - United States or Canada (Remote)
Duration: Permanent
Location: United States or Canada (Remote)
Start: ASAP
Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.
Who You Are:
Getty Images is looking for individuals that enjoy applying new and traditional Machine Learning methods to bring forward outstanding insights to our customers. This role is an outstanding opportunity to help craft how we measure, perceive and share imagery needs across the globe!
In this role, you help develop Machine Learning pipelines to measure content consumption trends. Your work will help users to understand their growing and evolving needs for imagery. You will support the entire product development lifecycle from product conceptualization to opportunity sizing; from measurement design to experimentation; from causal analysis to post-launch learning; and iteration into the next development cycle. This role will sit at the intersection of Content, Engineering, Marketing, Product and Leadership to advise and influence on key decisions. We value learning and development, and you will be given every opportunity to work on projects that excite you!
In addition to possessing a strong technical background, you are comfortable explaining sophisticated analytical and statistical methods to both Business and Engineering teams, and can provide concrete recommendations on how to deploy your work into production. You will have end-to-end autonomy and ownership of your projects and partner cross-functionally with other business units to uncover new opportunities for business growth.
Your Next Challenge:
You will join a growing team of highly-collaborative and curious Data Scientists and Data Engineers. As a member of the team, you will play a key role in driving (and improving) Getty Images’ editorial and content-based pivotal initiatives, working closely with creative specialists and product leads to help drive increased customer experience.
Your primary responsibility will be to help understand how customers connect with Getty Images’ collection of 300+ Million assets. You will apply that understanding to build both internal and external data products. You will communicate discoveries across the team, business partners, and leadership. You will collaborate with engineers to craft reliable data pipelines. You will write code and work with all of Getty Images' technology stack to build and maintain a production-level data ecosystem.
What You’ll Need:
A curiosity about how imagery is used in different regions around the world, and are excited to help Getty Images deepen and broaden its understanding of content trends.
Validated experience of having worked hands-on as a Data Scientist, preferably in a content or people-focused organization.
Proficiency in Machine Learning, statistical modeling and/or data mining, and understanding of the real-world advantages and drawbacks of various Machine Learning techniques.
A Ph.D. or MS in Computer Science, Statistics, Economics/Finance, Sociology, Natural Sciences or any other equivalent quantitative project is helpful. If you are self-taught or have meaningful work experience, we would love to hear from you as well.
Proven understanding of Python (preferred) or R, along with experience working within the AWS ecosystem and standard tools such as Git, bash and SQL.
Knowledge of Spark, NLP, time series analysis, and outlier detection is a plus.
Excellent communication skills (both written and orally), and a proven track record to comfortably produce written reports and present findings to partners.
Ability to independently carry through a project, from conceptualization to delivery. You can pro-actively interact with other engineers at Getty Images to access vital resources.
Mental and Physical Demands:
Frequent communication with others to exchange information.
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary.
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc.
Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required)
Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.
Benefits at Getty Images
Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire. For more information on these benefits, you may request an electronic copy of our Benefits Guide.
Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.
Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.
Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.
Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.
401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!
Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.
Leadership Principles
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.
We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.
We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.
We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.
We care, are kind, courteous, and respectful
We will not tolerate rudeness.
We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.
We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.
We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.
We deliver on our commitments, and commercial goals
With one voice and shared accountability.
We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.
We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.
Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email [email protected].
Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.
For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.
Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.
Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.
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Senior Data Scientist | Github |
GitHub helps companies, organizations, and groups of individuals succeed by allowing them to build better software, together.
The Engineering organization is looking for a Senior Data Scientist to join the Data Science group and closely partner with our Product organization on building data products and tools to support our broader company strategy and individual product area needs.
You will be able to leverage GitHub’s large, complex data sets to build models and processes that solve difficult, non-routine problems both for our users, and within GitHub.
This is an individual contributor position with significant growth potential.
Responsibilities:
Collaborate effectively with Product, Engineering, and other members of the Data team on building reusable, scalable, and maintainable technical solutions that can be deployed to production
Identify, design and execute on opportunities for machine learning products to have a high impact on the product and business strategy of the organization
Increase automation, evaluation and stability of the operational footprint for existing machine learning models in production
Minimum Qualifications:
5+ years prior relevant experience
Strong experience building scalable machine learning models in Python (or equivalent)
Experience in using SQL to query and manipulate large data sets for analysis
Experience being an effective contributor in cross-functional teams
Demonstrated leadership and self-direction
Demonstrated effective written and verbal communication skills.
Preferred Qualifications:
Experience with one or more of the following areas: Recommendation Systems, Classifiers, Natural Language Processing models
Experience deploying and maintaining machine learning models in a cloud environment (Azure, AWS, or GCP)
Demonstrated understanding of modern data pipelines and ETL tools, and ability to advise on the impact of different implementations on the data products
Ability to meet GitHub, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft, GitHub’s parent company, Cloud Screen upon hire/transfer and every two years thereafter.
#LI-RP
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Associate Data Scientist | Circleci |
As an Associate Data Scientist for Product at CircleCI, you will:
Use data to improve CI/CD practices
Build and deploy models supporting product features that help 100,000+ developers ship code faster
Help build company-wide practices to enable model discovery, deployment, monitoring, and governance
About Product’s Data Science and Analytics team at CircleCI
You will be a member of CircleCI's 10-member Analytics and Data Science team. Reporting to the Director of Data & Analytics, you will focus on improving our product experience, enabling data-driven product management, and improving company-wide data practices. You will collaborate with Product Management, Data Engineering, Analytics Engineering, Design, and others.
What you’ll do:
Discover models that address CI/CD's hardest problems: Work with product managers to quantitatively identify customers’ CI/CD problems, like slow builds, flaky tests, and dependency hell, and to help make product decisions. Work with engineering leads to identify platform optimizations, like capacity allocation and demand forecasting.
Prioritize problems. Engage in exploratory data analysis. Evaluate available data and define requirements for needed data. Select modeling strategies, tools, and approaches
Build features and tune models. Present to collaborators and executives.
Mentor analysts and help establish team practices: Be an effective coach. Improve teammates’ analytics skills across a variety of problems. Help groom business questions, evaluate data sources, identify analytical techniques, and create visualizations. Help build processes to help the team scale. Improve the team’s use of statistics, hypothesis testing, and experimental design. Keep the team up-to-date on the state of the art.
Build data practices: Help Leads define a process for the discovery of data products.
Work alongside data engineering and business intelligence on ingesting data, pipelining appropriate features, and rolling models into production. Contribute to our growing data architecture, governance, documentation, and security practices. Work through organizational, people, and process challenges of breaking new ground. Celebrate incremental wins.
What we're looking for:
Data science experience: Two or more years in data science, analytics, or comparable roles.
At least one year focused on models and algorithms.
Experience with model selection. Creativity in adapting tools and techniques.
Instinct for product discovery: Experience with product management and the discovery of data products. Effective data-product prototyping. Able to uncover insights in data sources. Effective juggler of scope, time, and value. Able to build multi-functional partnerships.
Big-data, cloud-based toolkit:
Worked with billion-row datasets. Experienced with distributed data processing technology (e.g., Spark).
Hands-on experience with AWS’s data warehousing and ML products and Snowflake. Fluent in Python for analytics/ML use cases as well as SQL.
Right soft skills: Passion for data, discovery, and problem-solving. Curious; confident; and open to questioning assumptions and being questioned. Effective communicator across technical and business audiences; able to lead customer expectations; and able to collaborate with hands-on executives. Adventurous; fast-moving; able to balance vision with execution; and not easily discouraged. Has an instinct for value; and focused on the incremental, not gold plating.
Bonus for knowledge of our domain—software delivery: Emotional intelligence around the challenges developers face with productivity and time to market. Ideally, experience developing code, debugging, testing, committing with distributed VCS and modern CI/CD.
About CircleCI
CircleCI is the world’s largest shared continuous integration and continuous delivery (CI/CD) platform, and the central hub where code moves from idea to delivery. As one of the most-used DevOps tools that processes more than 1 million builds a day, CircleCI has unique access to data on how engineering teams work, and how their code runs. Companies like Spotify, Coinbase, and BuzzFeed use us to improve engineering team productivity, release better products, and get to market faster.
Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit and Harrison Metal Capital.
CircleCI is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Colorado Salary Range: $106,000 - $124,500/year
#LI-BB1
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Senior Data Analyst Scientist Marketing | Khan Academy |
OVERVIEW
Khan Academy is a nonprofit on a mission to provide a free, world-class education to anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a library of high-quality instructional and practice resources that empowers learners and the teachers who support them. Whether they’re studying metaphors, mitosis, Marbury v. Madison, or multivariable calculus, we want to offer students the resources to realize that they can learn anything.
Khan Academy is looking for an experienced data analyst/ scientist to join our growing team. This role will provide analytical support for our global marketing team to ensure our effectiveness in reaching our target learners. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organization to drive critical strategic decisions.
About the role
Identify and measure success of marketing initiatives through goal setting, forecasting, value quantification, and monitoring/analysis of core metrics
Perform advanced exploratory analyses on large sets of data to extract insights that will guide our global marketing investments and initiatives
Use your expertise in experimentation (i.e. AB testing, causal inference) to measure the impact of email campaigns and suggest improvements to marketers
Contribute to development of self-service analytics tools to enhance data access for the marketing team
Work with our engineering teams to improve the tools and datasets we have for marketing operations
You may be a good fit if you have
A passion for Khan Academy’s vision and a desire to change the world
Background in applied math, statistics, economics, or a related technical field
3-5 years of experience in data science or analytics
Knowledge of statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Knowledge about experiment design and causal inference
Strong SQL foundations & ability to manipulate data using R or Python
Strong data storytelling and visualization, with the ability to communicate effectively with non-technical stakeholders
Strong business intuition & judgement, with a knack for asking the right questions
Prior experience working with marketing/sales functions
Prior experience developing marketing data products is a plus (e.g. user segmentation, ESP integration)
About our benefits
We may be a non-profit, but we reward our talented team extremely well!
Highly competitive salaries and annual bonuses
Ample paid time off as needed – we are about getting things done, not face time
Generous parental leave
Flexible work and time-off schedules to encourage work-family balance and holidays
A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
The ability to improve real lives and the opportunity to work on high-impact software and programs that are already defining the future of education
Affinity groups where parents, black and hispanic/latino, women and gender minorities, and LGBTQIA+ identified folks come together
And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance including medical, dental, vision, and life
Want to know more about us?
Sal’s TED talk from 2011
Sal’s TED talk from 2015
Our team: http://www.khanacademy.org/about/the-team
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
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Principal 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. We offer 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 140 health systems comprised of 2,000 hospitals and 55 health plan partners with over 36,000 employers, covering over 80 million lives.
Brief Overview:
The Principal Data Scientist is an expert-level statistician who provides leadership on the analyses and statistical forecasts of telemedicine activity on Amwell, including managing relationships with internal business partners. The candidate is a self-starter with insatiable curiosity, a polished communicator, relationship builder, and teacher. S/he has the wisdom and technical expertise to understand the limitations of statistical and machine learning methods as well the ability to explain his/her approach and results.
Core Responsibilities:
Independently lead relationships with internal stakeholders as a trusted expert
Identify, lead and develop analyses and statistical forecasts of telemedicine demand and supply on Amwell (and drivers of demand and supply)
Identify and lead development of scalable and automated analytic processes and workflows
Identify and lead development of novel data assets (e.g. data enrichment and integration) and metrics (e.g. feature engineering and data reduction) that deepen insight into drivers of telemedicine activity, improves model accuracy, and broadens industry knowledge.
Translate analytic needs into plans and guides the development of statistical modeling ideas across the department
Analyze data and deliverables for anomalies and errors
Build intuitive and modern analytic products, including incorporating data visualization best practices
Exercising considerable creativity, foresight, and judgement in conceiving, planning, and delivering initiatives
Document programming scripts, processes, and deliverables
Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work
Stay abreast of analytic technologies (e.g. Data storage and analytics on/with Google Cloud, AWS, R, Python, Tableau, etc.)
Qualifications:
Meticulous attention to detail
Masters or higher in a quantitative field (e.g., Statistics, Economics, Operations Research, Computational Sciences)
Expert knowledge of mathematical statistics
Expert data visualization skills
Exceptional degree of technical expertise, creativity, and resourcefulness
Able to apply expert judgement to devise solutions that consider multiple and future perspectives, often for unclearly defined problems
10+ years of experience as a data scientist/applied statistician (e.g., building advanced statistical and machine learning models), working with both “big” and sparse data
8+ years of SQL, including complex queries from multiple data sources
8+ years of developing scalable and automated analytic processes/workflows
Expert level proficiency with R, Python, Stata, or other high level data analytic programming languages
Basic to intermediate proficiency with general purpose programming languages (e.g., JavaScript, PHP, C++)
Knowledge of BI tools (e.g., Tableau, Looker, PowerBI, 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
5+ years of experience in the SaaS industry is a plus
Familiarity with the health care industry is a plus
Working at Amwell:
Amwell is changing how care is delivered through online and mobile technology. 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 culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic.
Our Core Values include One Team, Customer First, and Deliver Awesome. Customer First and Deliver Awesome are all about our product and services and how we strive to serve. As part of One Team, we operate the Amwell Cares program, which brings needed assistance to our communities, whether that be free healthcare for the underserved or for people affected by natural disasters, support for equality, honoring doctors and nurses, or annual Amwell-matched donations to food banks. Amwell aims to be a force for good for our employees, our clients, and our communities.
Amwell cares deeply about and supports Diversity, Equity and Inclusion. These initiatives are highlighted and reflected within our Three DE&I Pillars - our Workplace, our Workforce and our Community.
Amwell is a "virtual first" workplace, which means you can work from anywhere, coming together physically for ideation, collaboration and client meetings. We enable our employees with the tools, resources and opportunities to do their jobs effectively wherever they are! Amwell has collaboration spaces in Boston, Tysons Corner, Portland, Woodland Hills, and Seattle.
Unlimited Personal Time Off (Vacation time)
401K match
Competitive healthcare, dental and vision insurance plans
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R D Director Machine Learning Ai | Prosper |
About Us
Founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper was built on a simple idea: connect people who want to borrow money with those who want to invest. Since inception, Prosper has helped more than a million people gain access to affordable credit with over $19 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products including personal loans, home equity lines of credit (HELOC) and the upcoming launch of our first credit card product. Our diverse culture rewards accountability and cross functional teamwork because we believe this encourages innovative thinking and helps us deliver on our mission.
We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all!
Our Values
Accountability at all levels drives results
Collaboration creates better solutions
Excellence leads to longevity
Diversity fuels our innovation
Simplicity guides our user experience
Integrity defines all our relationships
www.prosper.com
Our Story & Team // Our Blog
The Role
Prosper’s lending strategies have been powered by ML (machine learning)/AI (Artificial Intelligence) models since 2015 and have continued to advance into new areas with proven performance and scalability. The Director role is newly created to build next-gen machine learning/AI research capabilities. You will initiate and build critical ML/AI capabilities by working closely with data scientists, credit strategy analysts and third-party solution providers. In this role you will work with a fast-paced and talented team that values innovation and teamwork.
Problems You Will Solve
Build cutting-edge and creative challenger models to improve decisioning quality and efficiency
Assess new data sources and prototype new methods to increase conversion and engagement to better serve a broad spectrum of consumers
Collaborate with scientists/engineers to deploy the challenger models into production environment
Evaluate third party solutions with strong business acumen to deliver results with high ROI
Lead by example to show passion and enthusiasm towards new challenges and never cease to challenge the status quo
All About You
Possess 7+ years of experience in consumer lending industry or related consulting services with broad exposure to ML/AI solutions
Have a strong background in applying cutting edge ML/AI techniques to solve business problems
A passionate leader and thinker with an entrepreneurial mindset
Ability to formulate business problems and roll-the-sleeves to prototype new solutions
Solid statistical and data mining background
Advance degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics or related technical field
Outstanding communication skills – ability to effectively communicate complex concepts in plain English, and comfortable with technical details to communicate with cross-functional stakeholders
Exceptional interpersonal skills – collaborate with people internally and externally to build strong relationship
Ability to think within regulatory guidelines with a mindset toward reproducible research
What We Offer
The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives
The opportunity to work in a fast-paced environment with experienced industry leaders
Flexible time off, comprehensive health coverage, competitive salary, 401(k) employer match, paid parental leave
Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts
A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts through Perkspot
The ability to work remotely in the United States
#LI-DN1
#LI-Remote
Prosper is continuing to grow our team during the COVID-19 pandemic, conducting fully remote hiring and onboarding processes. Our philosophy as a business is to approach the COVID-19 situation with empathy and urgency. Prosper’s top priority is the health and safety of our employees and of the communities we serve, including our customers, partners, prospects, and candidates. In accordance with this priority, along with our legal responsibility to provide and maintain a workplace that is safe and free of known hazards, we have adopted a COVID-19 Vaccination Policy which requires all of our employees to receive vaccinations, unless they have an approved accommodation.
Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)
California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA: https://www.prosper.com/plp/legal/privacy-notice-for-applicants/
At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.
Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.
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Senior Data Scientist | Karat |
We're Karat, the leader in technical interviewing and pioneer of the Interviewing Cloud
Karat’s purpose is to unlock opportunity, and we built the world’s first Interviewing Cloud to conduct predictive, fair, and enjoyable technical interviews 24/7. Karat helps companies expand interviewing capacity, unlock developer time, and raise engineering quality so they can hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a team of passionate, focused, human-centric team, and we want you to join us!
Come join our Data Science team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.). Immigration sponsorship is not available for this position.
Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.
The experience you will bring
5-7+ years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Proven experience applying machine learning to solve business prediction and automation challenges
Strong data analysis and scientific thinking skills
Experience with Python and related data science and machine learning libraries a plus
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
Experience with — and a knack for — communicating technical work to partners
Professional familiarity with marketplaces solving problems at the intersection of supply and demand a plus
Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:
Highly competitive salary and stock options
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Parental Leave (12 weeks paid with transition back to work in part-time capacity)
18 paid Company Holidays for 2021
Benefits / Wellness:
Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice
Learn more about us
Statement of Non-Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at [email protected].
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Data Scientist | Karat |
We're Karat, the leader in technical interviewing and pioneer of the Interviewing Cloud
Karat’s purpose is to unlock opportunity, and we built the world’s first Interviewing Cloud to conduct predictive, fair, and enjoyable technical interviews 24/7. Karat helps companies expand interviewing capacity, unlock developer time, and raise engineering quality so they can hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a team of passionate, focused, human-centric team, and we want you to join us!
Come join our Data Science team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.). Immigration sponsorship is not available for this position.
Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.
The experience you will bring
3+ years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Proven experience applying machine learning to solve business prediction and automation challenges
Strong data analysis and scientific thinking skills
Experience with Python and related data science and machine learning libraries a plus
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
Experience with — and a knack for — communicating technical work to partners
Professional familiarity with marketplaces solving problems at the intersection of supply and demand a plus
Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:
Highly competitive salary and stock options
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Parental Leave (12 weeks paid with transition back to work in part-time capacity)
18 paid Company Holidays for 2021
Benefits / Wellness:
Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice
Learn more about us
Statement of Non-Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at [email protected].
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Data Scientist | Outschool |
The Company
Outschool's mission is to inspire kids to love learning. We achieve this by linking learning to kids’ interests, connecting them with other classmates who share their passions, and giving them the autonomy to pick their own paths. Our small group classes meet over live video chat with teachers who celebrate their unique strengths and empower all learners to develop confidence and a strong sense of self.
We're also focused on removing barriers for historically underserved learners who face systemic challenges to their success. In 2020, we started Outschool.org and began offering financial assistance to families in need. We are currently creating an Educator Endowment Fund to appreciate the teachers who are so central to our mission of inspiring kids to love learning.
We believe that diversity drives learning. To meet our mission, we encourage, support, and celebrate different ideas, perspectives, and backgrounds. As a fully distributed (remote) team, we challenge one another to find the most effective way to empower learners, teachers, and parents. Your name, race, religion, gender, nationality, sexual orientation, and age are not barriers; they are why we want to work with you. We invite talented and creative candidates who value the importance of nurturing a child's boundless curiosity to join us on this journey.
The pandemic has been challenging for families all over the globe. We acted quickly and worked together to provide quality resources to learners, parents, and teachers in the past year. As communities worldwide rethink their approach to education, Outschool will continue to innovate and provide kids with unique opportunities to explore their passions.
Earlier this year, Techcrunch recognized Outschool as the newest EdTech unicorn. We've also been named Fast Company’s most innovative EdTech company in the world, and one of the top ten best startups for women from Elpha.
The Role
Data plays an important role in how we make decisions at Outschool. As a data scientist at Outschool, you’ll have an opportunity to work cross-functionally with teammates from Product, Marketing, Operations, and other internal teams as they tackle a variety of challenges and opportunities. You’ll help shape Outschool’s strategy by sharing key insights, digging into some of our most pressing problems, and finding creative ways to use data to improve our products and services.
CORE RESPONSIBILITIES:
Partner with teammates across the org to translate data into insights and actions
Use visualization, reporting and other tools to improve how teams access/interpret data
Conduct quantitative research to dig deeper into user behavior and product flows
Build models to identify important segmentations and predict outcomes
Implement experimentation and testing frameworks to help improve analytical rigor
Prototype new data-driven features that increase value for our families and teachers
DESIRED EXPERIENCE & SKILLS:
5+ years of experience in an analytics or data science related role
Expert-level SQL and Python skills
Prior experience with funnel reporting, attribution modeling, and cohort analysis
Prior experience with A/B testing and applied statistics (hypothesis testing, regression)
Prior experience building data visualizations in tools like Looker, Tableau, Mode, etc
Ability to initiate and lead projects to completion in a fast-paced environment
OUTSCHOOL CARES:
Shared Financial Success: Competitive salaries, stock options, and investment plans that make saving for retirement easier.
Health & Wellness: Comprehensive health, dental, vision, disability, and life insurance coverage options for employees and their families. Our medical benefits include fertility and family planning coverage. We also provide employees with online access to coaching and therapy sessions through our partner, ModernHealth.
PTO & Family Benefits: PTO and family leave enable our team to take the time that we need to recharge, relax, and spend time with family and friends.
Fully Distributed: With a team distributed across the US and Canada, we create a remote culture through expensable weekly meals, virtual events, expensable home office setup, and internet allowance.
Lifelong Learners: Annual budgets to self-direct our professional development as well as DEI learning. There’s also a budget for employees’ learners to take classes on Outschool!
Community Impact: Outschool matches employee donations to established charities and has committed to donating $3M to Outschool.org non-profit programs.
Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience.
Outschool is committed to providing reasonable accommodations to disabled veterans and applicants with physical and mental disabilities. If you need assistance due to a disability, you may contact us at [email protected].
Must be a citizen or legal resident of the U.S. or Canada and reside in U.S. or Canada.
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Entry Level Data Scientist | Ibm |
IntroductionAs a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
Start dates for this role are January 2022 and later
Data scientists are in demand across IBM’s growth areas. If hired, you will be matched to a team based on business demand, location and fit. Join the forward-thinking teams at IBM solving some of the world’s most complex problems – there is no better place to start your career!
What you’ll do as an Entry Level Data Scientist:
You will implement and validate predictive models as well as create and maintain statistical models with a focus on big data.
You will be exposed to and incorporate a variety of statistical and machine learning techniques such as logistic regression, experimental design, generalized linear models, mixed modeling, CHAID/decision trees, neural networks and ensemble models.
You will communicate with internal and external clients to understand business needs and provide analytical solutions.
You will use leading edge tools such as COGNOS, Watson Studio and Watson Machine Learning.
You’ll work in an agile, collaborative environment, partnering with other scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
Who You Are:
You are great at solving problems, debugging, troubleshooting, and designing & implementing solutions to complex technical issues.
You thrive on teamwork and have excellent verbal and written communication skills.
You have strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python.
You have an interest in, understanding of, or experience with Design Thinking and Agile Development methodologies.
For more information on our other Entry Level opportunities, please visit here.
These are office based positions in IBM locations including the following. Opportunities in these locations will vary based on demand & will be deleted as filled:
CA – San Francisco, San JoseCT – SouthburyGA – Brookhaven, Sandy SpringsMA – Andover, Cambridge, LowellNY – Armonk, NYCNC – Research Triangle ParkTX – Austin, Dallas
Required Technical and Professional Expertise
Understanding of statistical programming in a language such as Python, R or SAS
Experience with programming/scripting in Java, Python, etc.
Preferred Technical and Professional Expertise
Knowledge of statistical concepts such as regressions, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights
One or more internship or co-op experiences
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Director Research Science | Liveperson |
Director, Research Science
Seattle, United States- Remote | Senior-Level | Data Science & ML
Apply
LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environment
You can build partnerships that move our business forward
You build code that is simple, understandable, and clean
You see feedback or failure as motivation to learn and to grow
You believe data-driven decision making is the norm
You relate to our core principles (link) and want to work with Conversational AI experts
We are looking for a director of data science who can help drive our science-forward product strategy and take our research to the next level. Liveperson has billions of goal oriented dialogs between customers and brands, and your job is to help a team of researchers use them to advance our product, by leveraging the cutting edge of language understanding and conversational dynamics. In this role, you will be leading a team of scientists focused on natural language processing, complex measurement of dynamical systems, dialog structure and management, and a range of other problems we have at LivePerson. Your team’s work will be brought to life through a stack based on the latest in open source model management capabilities, focused on painless and effective training and deployment of machine learning at scale.
In this role you will:
Drive a research agenda focused on delivering innovative products, at scale.Help build ongoing collaborations with academic institutions to solve high-order problems, and ensure effective ongoing team building and recruiting.Work cross-functionally with engineering, science, operations, security and executive leadership to set product strategy and vision, launch features, and develop new product opportunities for LivePerson.Create buy in for the research vision both internally at LivePerson and externally across partners.Work with innovative technologies incorporating AI, machine learning and conversational interfaces.
Your qualifications are:
Expertise in delivering machine learned models into products at scaleSignificant theoretical and practical experience within the field of NLP, including within products that incorporate itExpertise in managing a research program in a business settingExperience communicating and collaborating effectively with product and engineering partners, managing shared roadmaps and dependencies.Strong skills communicating with executives and key leaders across the company, and building understanding with them of your team’s role, accomplishments, and requirements for success.Strong written communication; our culture lays emphasis on writing skills and narratives are how we communicate strategy to partners and stakeholders. Knowledge of professional software engineering practices & best practices for the full software development life cycle.Interfaces through to back-end systems and all points in between.Experience working backwards from the customer and delivering innovative, simple solutions.
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off, plus snacks and drinks to keep your mind fresh and stomach full. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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Principal Data Scientist | Liveperson |
Principal Data Scientist
Seattle, United States- Remote | Mid-Level | Data Science & ML
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LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environment
You can build partnerships that move our business forward
You build code that is simple, understandable, and clean
You see feedback or failure as motivation to learn and to grow
You believe data-driven decision making is the norm
You relate to our core principles (link) and want to work with Conversational AI experts
In this role you will:
Analyzing and drawing insights from large scale conversational datasetsChoosing between many available state-of-the-art methods and tools, and consistently finding the most effective, efficient, stable, explainable, and where possible, simple approachesDesigning and building modern, flexible pipelines and services for delivering and navigating insightsBringing research-driven models to life within production systemsCreating durable, flexible scientific deployment and experimentation capabilitiesWork on challenging unsupervised and semi-supervised problems related to intent and dialog management, and create pipelines to accelerate and scale this effortUsing and presenting research findings in ways that inform and sometimes guide business and product strategyCollaborating on writing research articles for external publication where appropriate
Your qualifications are:
Masters/PhD in Mathematics, Statistics, Operations Research, Computer Science, Machine Learning or a related field, or BSc + ExperienceAnalysis, problem-solving, communication, and critical-thinking skillsCore strength in Statistical models, e.g., for significance testing, forecasting, regression, hypothesis testing, record-linkageUnderstanding of ML fundamentals, ideally including Deep LearningStrong hands-on programming skills, e.g., Python, R, SQL, any major OO languagesExperience with frameworks for Statistical Analysis, Machine Learning, Distributed Computing (Pandas, Scikit-Learn, Hadoop, Spark, etc.)Ability to efficiently write, test, monitor, and improve production-quality codeCuriosity and interest in learning new applications and toolingAbility to work closely with teammates in a highly collaborative environment, as well as providing strong individual contributionsProduction ML evaluation and monitoring performance once completed
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off, plus snacks and drinks to keep your mind fresh and stomach full. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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Senior Pricing Scientist | Liveperson |
Senior Pricing Scientist
New York, United States- Remote | Mid-Level | Data Science & ML
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LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Disney, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environmentYou nerd out about AI, how it can be applied, or how you can learn more about it (don’t worry we’ll help)You believe data-led decision making is the normYou see feedback or failure as motivation to learn and to grow You relate to our core principles (link) and want to work with experts in their respective fields
Job Mission
As LivePerson’s Senior Pricing Scientist, you drive our pricing strategy to grow LivePerson’s revenue and deliver value to our customers. You derive your insights and recommendations through rigorous data-driven modeling paired with close collaboration with our marketing, sales, and product leadership. You also get involved directly in some of our deals to generate new ideas and stay close to the customer.
You ensure that any recommendations you provide are highly actionable and can easily be explained to internal and external audiences. Finally, you build on top of our unit economics models, allowing for an even more reliable view of margins at the product and customer level paired with actionable recommendations for the sales, marketing, and product teams.
In this role you will:
Rapidly immerse yourself in our billing and usage data, and learn about our products. In collaboration with our strategic pricing leader you develop a pricing strategy that aligns with our revenue and adoption goals and is enthusiastically received by the leadership within months of onboarding. you socialize the strategy and ensure cross organizational buy-in by partnering with our strategic pricing leader,Further, you share usage insights with our sales, product, and marketing teams to influence strategic decisions across the company.Finally, you conduct quarterly executive level reviews on pricing performance and provide go forward recommendations.
Your qualifications are:
5+ Years of experience delivering and implementing pricing strategy in the software industry (SaaS) with deep knowledge of pros and cons of various SaaS based pricing strategiesA proven track-record of developing trusted relationships with executives and working effectively across functional boundariesSolid experience in statistics, and causal inference Proficiency in translating business objectives into models that lead to actionable recommendationsAbility to write Python code that is efficient and clean (SQL expected)Master in Economics, Marketing with Pricing Focus, Statistics or similar. Ph.D. strongly preferredDemonstrated ability to independently uncover insights and relationships across numerous datasets
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Upload your resume
(PDF, Word, or Rich Text)
*
First Name*
Last Name*
Email*
Phone Number*
Are you currently eligibile to work in the United States? *
YesNo
Do you now or in the future require visa sponsorship to continue working in the United States? *
YesNo
Privacy Policy
You acknowledge that information submitted to LivePerson is subject to LivePerson's General Data Protection Regulation Candidate Privacy Notice (applicable only to EU candidates) and California Consumer Privacy Act Privacy Notice (applicable only to California candidates). For all other applicants, you may disregard this notice and click confirm to submit your application.
Confirm *
Submit Application
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Data Scientist | Thorn |
Thorn is a non-profit focused on building technology to defend children from sexual abuse. Working at Thorn allows you to apply your skills, expertise, and passions to directly impact the lives of vulnerable and abused children. Our staff solves dynamic, quickly evolving problems with our network of partners from tech companies, NGOs, and law enforcement agencies. If you can operate well in a complex and quickly changing environment and are able to talk specifically about heavy issues while bringing positivity to your work and colleagues, you could be an excellent fit for our team.
In 2019, we took the stage at TED and shared our audacious goal of eliminating child sexual abuse material from the internet. A key aspect of our work is keeping abreast of the new ways technology is used to sexually exploit and abuse children and building the right technology in response to combat this, as well as building technology to support the broader child safety ecosystem in combating online child sexual abuse.
About the role:
As a Data Scientist, you build machine learning models to add intelligence to your team's product. You will uncover valuable insights, to expand and build on our existing and future products. The work you will do will be a combination of finding quick wins and developing longer term research. You will collaborate closely with Engineering and Product to identify insights and build models that will make an invaluable impact. You will be responsible for acquiring data, crafting and performing analytical experiments in a disciplined manner, evaluating and iterating on results, and discussing results with your team. When you and the team conclude that the model or insight is ready to be shipped, you will partner with members of the Engineering team to simplify, architect, and implement an infrastructure for continuous deployment.
What You'll Do:
Research and develop statistical modeling for data analysis.
Build machine learning models to help end online child sexual abuse.
Provide business analysis to help streamline workflows.
Collaborate with team members to drive understanding of product and technology standards needs and devise possible solutions.
Discuss results and ideas with key partners, including child victim identification specialists, relevant law enforcement, and technology companies.
Implement new statistical methodologies as needed for specific models or analysis, prioritizing fairness in design and build.
Work with Data Science and Engineering team members on deploying insights and models and continuous model training and deployment.
Keep up-to-date with the newest developments in data science and machine learning.
What We’re Seeking:
A commitment to putting the children we serve at the center of everything you do.
You have experience designing, building, and deploying computer vision (traditional and deep learning) applications for production use cases.
You have a background in data science and statistical analysis.
You have an ability and interest in learning new technologies quickly.
You have a passion for machine learning and an aptitude to work in a collaborative environment, can demonstrate empathy and strong advocacy for our users, while balancing the vision and constraints of engineering.
You communicate clearly, efficiently, and thoughtfully. We’re a highly-distributed team, so written communication is crucial.
Technologies we use:
You should have at least one year of professional experience with these:
Tensorflow or PyTorch
OpenCV (or equivalent image manipulation library)
You should have non-trivial experience with at least a few of these, but we’re open to teaching folks that have the desire and ability to learn the rest.
Pandas
Scikit Learn
Spacy, HuggingFace for NLP
Jupyter
At Thorn, we understand the value of developing a team with different perspectives, educational backgrounds, and life experiences. We prioritize diversity within our team and encourage people from underrepresented backgrounds to apply. Your skills are needed here.
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