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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.
The Data Products & Services (DPS) team owns Wattpad’s Search and Recommendation system. We are a cross functional team of engineers and data scientists with the vision to connect millions of readers to the right story at the right time. We build recommendation engines and information retrieval systems to power everything from the “Home” page to “Search” and “Browse” experiences. If you have a passion for building discovery systems at massive scale, come join us to build the next iteration of our ML engines!
What you'll be doing:
Model complex problems, and identify opportunities through statistical, algorithmic, data mining, and visualization techniques
Validate findings using experimental and iterative approaches and present findings back to stakeholders
Designing experiments, preparing datasets, developing new models and creating prototype implementations focusing on applications to various challenging business problems
Build queries, conduct in-depth analysis and develop models to understand content, user engagement, and diversification
Prepare and integrate large, varied datasets and also maintain them to train models
Work cross-functionally to identify problems and turn data into knowledge which can be
actioned into product features or business decisions
Work closely with live production systems and product teams, and deliver ML solutions at scale
Uphold high data science standards and best practices
Drive decisions such as assessing vendors in order to buy vs build/make
(DPS Team) Improve existing search and recommendation systems through experimentation, feature engineering, etc.
(DPS Team) Build features and develop new ranking algorithms
Do you have most of the following? If so, please apply!
You have a passion for machine learning
You have industry or academic experience with personalization, recommender systems or Natural Language Processing (NLP)
3+ years experience in an applied machine learning or quantitative role with knowledge in statistical machine learning and deep learning techniques
Experience in algorithm development and adapting existing algorithms to novel applications
Comfort working with complex, high dimensional data
Fluency with Python, and familiarity with one or more deep learning software frameworks such as TensorFlow or PyTorch
Familiarity with data extraction languages and tools (SQL or Apache Spark)
Development experience involving data pipelines and/or large-scale data processing
You have an understanding and/or experience of open-source ML frameworks (e.g. Tensorflow, TFX, PyTorch)
You love to deliver impactful products that accelerate the workflows of our business and end users
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
You have a solid understanding of Matrix Factorization and/or Factorization Machines
You have an understanding of Recsys metrics and evaluation methodologies
Bonus Points:
Good understanding of Stochastic Ranking, Bandit Algos and probabilistic methodologies such as (Variational Inference)
Experience with running Online Recsys experiments
Experience with Learning to Rank algorithms
Good understanding of Deep Learning based recsys (such as NCF, DeepFM, DCN etc.)
Have published in Recsys focused conferences such as ACM Recsys, KDD, WSDM, WWW etc.
You have experience in a technical/project leadership role
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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Data Science Manager | Ginkgo Bioworks |
On the Data Team, our focus is the strategic application of data science and engineering across the business. We tackle diverse problems that span molecular biology, robotic automation, finance & business strategy, and operations, all in service of supporting data-driven decision-making. We do that through a combination of durable software tools, closely embedded analysts, and side-by-side collaboration with data engineering.
Every day we face new technical and scientific challenges that require deep cross-functional collaboration and novel solutions. Success in this evolving field is only possible with teams that represent diverse people, ideas, backgrounds, experiences, and ways of working. Active inclusion is core to how Ginkgo wins. We’re an equal opportunity employer and encourage individuals from underrepresented backgrounds to apply.
As a Data Science Manager, you’ll join a distributed, highly collaborative team composed of data engineers, analysts, and data scientists with a wide range of backgrounds and experiences (the team is currently located in Boston and Seattle). You'll partner closely with scientific collaborators from across Ginkgo to develop analysis plans, deliver durable reports, on-board and train partners, and work with data scientists and engineers to design data-driven software tools. Ideal candidates are self-starters with a strong technical background who can identify opportunities to solve problems with data. Candidates should be curious and eager to learn about both the science and the business, possess analytical skills and reasoning, be a strong leader who can mentor and grow the team, and excel at communicating the team's work to broad audiences.
Responsibilities
Leading high-output technical team; building and nurturing team culture, coaching, and creating personalized development plans for all team members from entry-level to principal
Delivering end-to-end data products, i.e. ability to work across the product lifecycle from exploration and discovery, to operationalization and production
Project management including managing complexity and making informed trade-offs to quickly escape rabbit holes and make on-time deliveries
Breaking down complex technical and quantitative topics for audiences with mixed levels of technical expertise; in particular, translating technical and scientific concepts into business outcomes and recommendations is essential for success in this role
Comfort and aptitude for presenting progress, insights, and recommendations to stakeholders and senior leadership
Storytelling with data, specifically supporting data-driven decisions with compelling visualizations
Building strong partnerships with collaborators and stakeholders, influencing and collaborating at all organizational levels
Willingness to work on a distributed team and adhere to common working hours across time zones
Minimum requirement of quarterly travel to headquarters in Boston, MA
Minimum Requirements
Must be able to start the day at 10am EST and have familiarity with communication strategies and tactics for managing a distributed team
Strong working knowledge of SQL and the ability to self-serve with basic data exploration tools like Tableau
Software development best practices including story estimation, test-driven development, code review, and version control with git
Excellent written and verbal communication skills
Strong technical writer and documenter
Fluency and practical experience with statistical methods like exploratory data analysis, hypothesis testing, power analysis, regression, and generalized linear models, as well as familiarity with advanced methods like time-series and survival analysis
Fluency and practical experience with machine learning concepts and algorithms in supervised and unsupervised learning settings; examples include general machine learning workflow, linear/logistic regression, decision trees, neural networks, clustering, etc.
Fluency and practical experience with data visualization techniques and best practices
Preferred Capabilities and Experience
Experience with Agile workflow practices and familiarity with Atlassian tools including Jira, and Confluence
Experience with the Amazon Web Services ecosystem
Familiarity with biological data, specifically in the context of high-throughput screening
To learn more about Ginkgo, check out some recent press:
What is it really like to take your company public via a SPAC? One Boston biotech shares its journey (Fortune)
Ginkgo Bioworks resizes the definition of going big in biotech, raising $2.5B in a record SPAC deal that weighs in with a whopping $15B-plus valuation (Endpoints News)
Ginkgo Bioworks CEO on scaling up Covid-19 testing: ‘If we try, we can win’ (CNBC)
Ginkgo raises $70 million to ramp up COVID-19 testing for employers, universities (Boston Globe)
Ginkgo Bioworks Redirects Its Biotech Platform to Coronavirus (Wall Street Journal)
Ginkgo Bioworks Provides Support on Process Optimization to Moderna for COVID-19 Response (PRNewswire)
The Life Factory: Synthetic Organisms From This $1.4 Billion Startup Will Revolutionize Manufacturing (Forbes)
Synthetic Bio Pioneer Ginkgo Raises $290 Million in New Funding (Bloomberg)
Ginkgo Bioworks raises $350 million fund for biotech spinouts (Reuters)
Can This Company Convince You to Love GMOs? (The Atlantic)
We also feel that it’s important to point out the obvious here – there’s a serious lack of diversity in our industry, and that needs to change. Our goal is to help drive that change. Ginkgo is deeply committed to diversity, equity, and inclusion in all of its practices, especially when it comes to growing our team. Our culture promotes inclusion and embraces how rewarding it is to work with people from all walks of life.
We’re developing a powerful biological engineering platform, so we must remain mindful of the many ways our technology can – and will – impact people around the world. We care about how our platform is used, and having a diverse team to build it gives us the best chance that it’s something we’ll be proud of as it continues to grow. Therefore, it’s critical that we incorporate the diverse voices and visions of all those who play a role in the future of biology.
It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees and employment applicants.
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Principal Data Scientist | Missionwired |
At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.
We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we're excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.
We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.
We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.
Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.
Overview: We are looking for a principal data scientist to join us in bringing machine learning to online fundraising through our AdvantageAI product. The models you create will improve the lives of people throughout the world by empowering digital donors and activists to support our mission-driven clients. You’ll be driving positive change as part of a team of data scientists and engineers developing first-of-their-kind machine-learning products.
You’ll join an engineering team that is deeply devoted to inclusion, particularly in the following three areas:
Process: We create a context in which everyone is empowered to contribute.
Machine Learning: We are committed to identifying and removing bias from our algorithms.
Philanthropy: We empower diverse groups of individuals to participate in giving.
With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.
You will be responsible for:
Joining each and every one of your colleagues in creating an inclusive workspace;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Designing experiments to determine how to maximize client goals, such as philanthropic donation or email activation;
Developing and supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Collaborating with cross-functional teams to support their data infrastructure needs.
Must-have qualifications:
Professional experience in designing and implementing machine learning solutions to business problems;
A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches, an openness and critical eye to the latest techniques, and a willingness to lead collaborations to find optimal solutions;
Experience with SQL to write nuanced analytic queries;
High-level familiarity with big data tools using AWS or other cloud services;
Attention to detail;
Intellectual curiosity to innovate on ways to solve data management issues.
Nice-to-have qualifications:
Working knowledge of Pandas and ideally PySpark;
Experience deploying deep learning models;
Experience managing data warehouses and/or data lakes;
Ability to build and optimize data pipelines, architectures, and data sets;
Experience working with cross-functional teams in a dynamic environment.
We are looking for candidates in a range of seniority levels, including very experienced data scientists. The salary floor for this role is $90,000 per year and goes up depending on experience.
If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!
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Director Data Science Analytics | Spring Health |
Our mission: to eliminate every barrier to mental health.
Spring Health is the leading comprehensive mental health benefit for employers. We help employees understand their mental health issues and connect with best-in-class providers to get the right treatment at the right time.
From early detection to full recovery, Spring Health is the only clinically validated solution in the market proven to be more effective than traditional mental healthcare. By combining the latest technology with vetted providers, we help engage 1 in 3 employees, reduce recovery times, and lower healthcare costs. We are an award-winning, passionate, and mission-driven team with the support of leaders in psychiatry. We have raised over $300 million to date from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.
We are looking for an experienced data science and analytics leader to join the growing Data Science organization and build out our Operational Analytics department. You will partner directly with senior leadership across the business to effectively leverage data to enable best-in-class financial and care operations. Your team will work on our most analytically challenging problems - everything from evaluating the pricing strategies for our various product lines, to predicting growth targets for hiring care teams in different geographical regions, to identifying factors and strategies that drive member engagement. You shall be a strategic thought partner to all operations and business functions at Spring Health and work with them to set and drive company and department wide KPIs.
What you’ll be doing:
Act as a strategic thought partner to cross functional partners and senior executive team, helping to prioritize and execute data and analytics efforts and investments
Create and drive the execution of the analytic roadmap for the business intelligence and data foundations teams
Own the strategy for our business intelligence, data analytics and data warehousing software applications, keeping a close watch on the evolving vendor landscape
Work with the engineering platform team to lead the design and development of our data warehouse in alignment with the overall analytics strategy
Guide your team on strategic communication and how to translate from a business use case to underlying conceptual data models, data pipelines and business logic
Grow, mentor and scale a team of data analysts, data scientists and data architects
What we expect from you:
You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
8+ years of working experience driving analytics and data science for a brand-new or rapidly scaling business or product lines
4+ years of previous leadership experience
You have exceptional communication skills and are excited to champion and operationalize data driven decision making at all levels across the organization
You are passionate about data, metrics, innovation, and operational excellence
Proficiency with sql; Experience with an analytical scripting language (ex:python/R) and command line/git
Bonus points for experience with Snowflake, Looker, dbt
Proximity to NYC or willingness to travel to NYC often
Benefits of working at Spring Health:
Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
Access to Spring Health’s platform which includes (10) free therapy sessions
Unlimited time off in addition to (12) paid holidays
16-18 weeks paid parental leave
$500 per year Wellness Reimbursement
Creating a culture you can thrive in:
Flexible remote and hybrid work style arrangements
Calm Fridays to encourage meeting & distraction free days
Donation matching to support your favorite causes
Employee resource groups
Supporting you financially through:
Competitive mix of salary and stock options
Employer sponsored 401(k) match
In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously:
Members Come First We are genuine member advocates.
Move Fast to Change Lives We build with urgency and intention.
Take Ownership We extend trust and hold ourselves accountable.
Embrace Diverse Teams & Perspectives We find strength in the diversity of cultural backgrounds, ideas, and experiences.
Science Will Win We will achieve impact by innovation and evidence based frameworks.
Candor with Care We are open, honest and empathetic.
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
#LI-remote
#LI-JA1
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Senior Data Scientist Product | Spring Health |
Our mission: to eliminate every barrier to mental health.
Spring Health is the leading comprehensive mental health benefit for employers. We help employees understand their mental health issues and connect with best-in-class providers to get the right treatment at the right time.
From early detection to full recovery, Spring Health is the only clinically validated solution in the market proven to be more effective than traditional mental healthcare. By combining the latest technology with vetted providers, we help engage 1 in 3 employees, reduce recovery times, and lower healthcare costs. We are an award-winning, passionate, and mission-driven team with the support of leaders in psychiatry. We have raised over $300 million to date from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.
We are looking for a Senior Data Scientist to own the analytics and data product roadmap and deliverables on a newly established team that will be focused on member engagement. You will enable us to better understand our member journey, and unlock our ability to best engage with the members who would benefit the most from getting support through Spring Health, and to set and track a robust set of supporting KPIs. This role will be highly cross-functional and you will work collaboratively with our Strategy, Marketing, Customer Success, and Product & Engineering teams. As the sole data lead for the Member Engagement team, you will play an integral role in setting up our experimentation roadmap and driving our overall product and growth strategy.
What you’ll be doing:
You will drive the data insights and analysis to inform strategies to drive member engagement
You will ideate and design A/B tests to evaluate new product features and member engagement strategies;
You will build the analytical infrastructure and insightful, automated dashboards necessary to track member and engagement metrics and KPIs
You will proactively analyze data across all aspects of the member health journey and identify opportunities to accelerate member growth, engagement and utilization.
You will craft compelling narratives and data informed recommendations to drive the overall member engagement and outreach strategy.
You will use predictive modeling to uncover trends, drivers, impacts and key influences on member utilization and outcomes that will drive user growth and engagement, improve marketing effectiveness, and inform target KPIs across our member engagement funnel.
What we expect from you:
You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
You have a degree in a STEM-related field and at least 5 years of commercial experience in a data science role
Proficiency with data querying language (ex:SQL) and a statistical analysis language (ex:R/Python) to analyze and model user data.
Experience working with modern data warehouses (ex: Amazon Redshift, Google Bigquery or Snowflake) and data visualization tools (ex: Looker)
Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business users
You have past experience in the area of user-centric product and web analytics
You are comfortable in an ever-changing environment and have a passion for successfully navigating ambiguous problem areas
You are committed to collaboration and are able to work well with other business units to build iterative solutions that continuously deliver value
You are proactive, not afraid of getting your hands dirty, and are equally comfortable balancing tactical and strategic execution
Benefits of working at Spring Health:
Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
Access to Spring Health’s platform which includes (10) free therapy sessions
Unlimited time off in addition to (12) paid holidays
16-18 weeks paid parental leave
$500 per year Wellness Reimbursement
Creating a culture you can thrive in:
Flexible remote and hybrid work style arrangements
Calm Fridays to encourage meeting & distraction free days
Donation matching to support your favorite causes
Employee resource groups
Supporting you financially through:
Competitive mix of salary and stock options
Employer sponsored 401(k) match
In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously:
Members Come First We are genuine member advocates.
Move Fast to Change Lives We build with urgency and intention.
Take Ownership We extend trust and hold ourselves accountable.
Embrace Diverse Teams & Perspectives We find strength in the diversity of cultural backgrounds, ideas, and experiences.
Science Will Win We will achieve impact by innovation and evidence based frameworks.
Candor with Care We are open, honest and empathetic.
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
#LI-remote
#LI-JA1
|
Data Scientist New College Grad | Wealthfront |
Data and its proper use is crucial to that vision and the data science team plays a fundamental role in understanding and interpreting those data sources.
The Wealthfront data science team creates data products to deliver personalized financial product experiences, develops best in class investment algorithms, and analyzes our rich financial and behavioral data to make key business decisions. The team draws from a variety of backgrounds in Computer Science & Engineering, Statistics, Economics, Math, Operations Research, and Financial Engineering. We derive strength from this diversity and are constantly learning and teaching each other in a down-to-earth and dynamic environment. We are neither too big where you would be just another cog in the system, nor are we too small that none of our efforts can be realized.
As a Data Scientist in Wealthfront’s Data Science organization, you’ll be responsible for improving the quality of our decisions using data and the scientific method. Your work will generate tools and insights that inform product and business decisions throughout the company and across the product lifecycle, from ideation and research to launch and iteration. You will mentor and collaborate with your data science colleagues with a focus on technical skills and career development. We are fortunate to work with experienced product managers and engineers that have worked on products at companies like Facebook, Google, Twitter and Apple. This is an opportunity to learn from some of the most experienced operators in the startup world and to further an important and meaningful mission. Our Data Science team focuses on product analytics (for the product areas of Investments and Banking), A/B Testing, growth/marketing analytics, and risk analytics (fraud, credit).
What you'll do
Work closely with cross-functional teams of product managers and engineers, translating open-ended business issues into data questions, identifying practical approaches including A/B testing to answer them, and carrying out timely and well-documented analyses that influence our product and company strategy
Design and develop data products to assist consumers with decisions around investments, banking, and financial planning
Continuously look for, and execute upon, opportunities to improve the quality of our data, infrastructure and products
Understand and communicate a data-driven picture of our clients, product and business
Promote automation of repetitive tasks and the creation of tools over ad hoc analyses, making your insights available to anyone that can benefit from them
What we're looking for
Knowledge of Python and SQL toolchain to access, transform, visualize, and model business data
A firm foundation in data analysis basics including regression and classification models, experiment design, time series modeling and hypothesis testing
Ability and empathy to explain technical and statistical work to business stakeholders
Interest and ability to map business requirements and priorities to technical projects
Interest in continuous learning and mentoring others
BS, MS, or PhD in computer science, mathematics, statistics, economics or related field
Everyone across the financial spectrum deserves to live secure and rewarding lives. In order to successfully serve clients across the United States, the Wealthfront team is focused on hiring team members with a diverse range of backgrounds, experiences and perspectives. 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.
About Wealthfront
Our first chapter was about transforming the investment advisory business. We focused on unlocking access to low cost investing for delegators - people who were underserved by high fee and human financial advisors. We built the first automated portfolio that allows you in seconds to invest in a personalized portfolio of thousands of companies for a remarkably low fee, which resulted in attracting more than $25 billion of our client’s hard earned savings, created the robo-advisor category and transformed the broader industry.
Now, we’ve embarked on expanding into an adjacent opportunity to transform the digital self-directed brokerage space. This focus enables us to empower a dramatically wider audience to build long-term wealth - people who are eager to learn about investing by making their own investment decisions, but need guidance. In the last few years, several financial technology companies have made it incredibly accessible and engaging to trade in individual stocks, but because of their transaction based business models, these apps keep people focused on the day-to-day gyrations of the market leading to short-term thinking and behaviors. As a result, millions of people are investing their hard earned savings in a handful of stocks which is inconsistent with building long-term wealth. We believe our vision serves their needs far better and that we can extend our core philosophy of embracing diversification, managing risk, minimizing fees and taxes and taking a long-term view, into self-directed investing. We believe this is an ideal opportunity to leverage our strength of building simple, easy-to-use products that offer a delightfully engaging experience to build long-term wealth.
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Data Scientist Finance | Mynd |
About Mynd:
Mynd is a tech-enabled real estate company serving the $85B+ property management and real estate investment market. In the past few years, consumers have gained access to free stock trades, greater transparency in the mortgage market, and apps that make managing their money more convenient. Yet real estate investment, the most powerful tool for building generational wealth, has largely been the purview of wealthier individuals and professional money managers.
Mynd is determined to overhaul that paradigm.
At Mynd, we’re on a mission to democratize access to happy homes and sustainable investments by making the purchase of single-family residential real estate as effortless as other types of investments. Investing in real estate can be intimidating, especially for first-time buyers. Moreover, many potential investors don’t want to buy real estate in their geographic area, or have been priced out of competitive big city housing markets.
With operations in 25 markets across the U.S. and real-time insights via our platform, we remove the time, communication, and geographic barriers traditionally associated with buying real estate. Investors can now find, purchase, lease, manage, and sell single-family rental properties 100 percent remotely.
Mynd is Best Places to Work certified, a Built In SF Best Places to Work 2022 winner, and was named the #1 fastest-growing East Bay company by the San Francisco Business Times in 2021. We’ve attracted talent from Starwood Waypoint Homes, The New York Times, McKinsey, BCG, Compass, Better, One Medical, Zillow, Upwork, WeWork, and Facebook. We’re backed by top VCs, including Lightspeed, Canaan, Jackson Square, and QED, and recently announced a $5 billion deal with Invesco Real Estate that will make us the largest buyer of single-family rental homes in the country.
Join us!
About the role:
Partnering with the VP of Finance, the primary focus of this role is to build predictive models that help strategic decision making. You will be responsible for multiple input complex modeling problems (VTM analysis / Vacancy Forecasting / By Market P&L-Margin forecasting, among others). You will also be part of the broader Data Science team and work closely with other data scientists on machine learning solutions for Mynd’s business.
Responsibilities:
Extract and analyze large datasets using SQL
Conduct data analysis and visualizations using Python/R
Reasoning from first principles, apply a variety of statistical and mathematical modeling techniques to research and understand patterns and behaviors
Write code concisely and effectively
Collaborate with cross functional stakeholders
Effectively communicate results to diverse audiences
Work with data engineers to ensure data accuracy and best practices
Qualifications:
Bachelor’s/Master's Degree with 2-4 years of experience working within an analytical role
Proficiency in a scripting language (Python/R) and a database querying language (SQL)
Proven ability to succeed in both collaborative and independent work environments.
Strong intellectual curiosity and critical-thinking skills
Being authorized to work in the U.S. is a precondition of employment and we are unable to sponsor H1-B Visas at this time.
Any offer of employment is conditioned upon the successful completion of a background investigation.
Covid-19:
Mynd is closely following the 2019 Novel Coronavirus Disease (COVID-19) and implementing processes that promote the safety of our employees, candidates, owners, residents and communities. The health and safety of our employees and contractors around the world continues to be our top priority as we face the challenges associated with COVID-19. Leaders across Mynd meet regularly to consider the evolving situation and are doing all we can to keep our teams healthy.
At Mynd, we offer a robust, competitive & unique benefits package:
Unlimited time off
Paid Parental Leave
Cash to purchase your own investment property through our “Project Investor Myndset” program
401k + Match
Wellness, home office, and cell phone subsidies
Volunteer time off
Robust health, dental, vision insurance, and more
Sabbatical program
At Mynd, we encourage all of our team members to:
Be Myndful
Always Be Entrepreneurial
Earn Trust
Play Team First
Be an ‘A’ Player
Think Like An Investor
As part of our dedication to diversity, Mynd is an Equal Opportunity Employer. Individuals seeking employment at Mynd are considered without regard to race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status, or any other legally protected category.
#LI-REMOTE
#LI-LM1
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Senior Data Scientist Credit | Caribou |
About Caribou
At Caribou, we’re on a mission to help people save money and take control of their car payments. Caribou does this by using technology to unlock low rates, and people to make the process easy and enjoyable. We offer a fully online application and a dedicated team to walk you through the process. We put Drivers in control.
Caribou is a hyper-growth company built by leaders from the technology, automotive, and finance industries. We’re proud to be backed by a great team of investors, including QED Investors, Goldman Sachs, Moderne Ventures, Accomplice, Link Ventures, Motley Fool Ventures and others.
About the Role
Caribou is looking for a Senior Data Scientist to help develop modeling and quantitative strategies in the Credit space. You’ll work closely with our Credit Strategy team to develop credit-centric productionized models including estimating propensity to respond to mailers and propensity to default on loans, among others. You’re familiar with credit data and best practices in the space, but also can think outside the box to develop novel solutions to major strategic initiatives for the business. You thrive in fast paced environments and have a knack for taking unstructured problems and breaking them down into digestible and actionable pieces.
Responsibilities
Identify and solve business challenges in the credit space with advanced data science and analytics tools, including audience selection and credit risk
Partner with credit, product and engineering to translate business insights into productionalized models to meet business needs
Work with product and engineering to set up the necessary pipelines and infrastructure to deploy productionalized models at scale throughout various parts of the business
Act as a thought partner to our Credit and Strategy and Analytics functions to develop a winning data-driven strategy
This role can be based out of Caribou offices in Washington, DC; Denver, CO; Austin, TX. Alternatively, the role may be based remotely within the U.S. Caribou currently requires that all personnel and visitors to any of its offices are fully vaccinated against the COVID-19 virus. As a result, candidates must be fully vaccinated against COVID-19 to be eligible for this position (subject to any exemptions or accommodations due to medical or religious reasons).
About You
We are looking for a candidate with:
A degree in a quantitative field like computer science, math, economics, statistics, finance, or engineering
3-5 years of experience in a data science role in the technology or finance space
Experience working consumer data (especially consumer finance), including data from credit bureaus
Experience working in cloud ML environments (GCP, AWS, Azure, VertexAI, etc.)
Expert in SQL and Python, including key data science packages (Scikit-learn, XGBoost, Pandas)
Demonstrated ability to explain and visualize complex data science techniques to non technical audiences
The ability to break down and solve large unstructured problems
Independent thinker and self starter
How we will take care of you
Everyone at Caribou is a valued team member, and we always strive to live up to our value Take Care of Each Other. Our compensation and benefits package includes:
Competitive compensation: 125k - 145k annual salary
Equity in a high-growth company
401k savings program with 3% company contribution
Generous paid time off including: 20 days accrued PTO per year, 14 annual company holidays, 16-weeks paid parental leave, bereavement leave, and volunteer day
Robust wellness benefits including company-paid plans for health, dental, vision, mental health, disability and basic life insurance
Optional benefits to suit your individual circumstances such as HSAs, FSAs, supplemental life and medical insurance, and pet insurance
Up to $1,000 per year for eligible professional development expenses
Our Core Values
We come from all walks of life and are joined together by our shared values, which guide our work. This helps us improve life for our customers, our communities and our team members.
See people as people
Take care of each other
Commit to the mission
Move quickly and bravely
Get better every day
Seek truth
Caribou is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, marital status, military or protected veteran status, genetics, or any other characteristic protected by law. This position is not restricted solely to the responsibilities listed above, and the scope and responsibilities are subject to change. A pre-employment background check is required as a condition of employment.
#LI-REMOTE#LI-NH1 #ZR
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Data Science Recommender Systems | Relationalai |
About the Data Science Team
In the Data Science Team, we are using state-of-the-art machine learning to build applications that help enterprises to take advantage of new capabilities with a focus on knowledge graphs. Examples of applications that are usually focused on knowledge graphs include, but are not limited to, search, recommendation, natural language understanding, and computer vision.
The Opportunity (aka role description)
Instructions: As a Data Scientist with expertise in search and recommender systems, you will help our product and our customers to build search and recommender system applications that will solve significant real-world problems. The search and recommender systems will be built on top of our knowledge graph management system and they will be powered by the knowledge graph paradigm. During this role, you will have the opportunity to work with our top-talent team, on real-world data where your work will have a direct business impact.
What You Will Do (aka responsibilities)
Build search and recommender system applications on top of our knowledge graph management system
Translate business problems to machine learning applications
Stay up-to-date with state-of-the-art machine learning models relative to the area of your work
Push the boundaries of current approaches
Design and implement state-of-the art machine learning models
Day-to-day collaboration with the members of our data science team
Who You Are & What You Bring (aka qualifications)
Required
Bachelor's degree in Computer Science, Statistics, Economics, Information Technology or related field with a specialization in machine learning
Experience in designing scalable machine learning models
A good portfolio of search and/or recommender systems projects such as content-based recommendations, collaborative filtering, hybrid recommendations
Natural curiosity, problem solving skills, communication skills
Nice to have
Masters or PhD degree in Computer Science, Statistics, Economics, Information Technology or related field with a specialization in recommender systems
Familiarity with the state-of-the-art on search and/or recommender systems
Experience in declarative logic programming languages such as Datalog
Hiring Process
Qualified candidates can expect the following hiring process:
One 45 minutes screening meeting with our Head of Data Science
A 45-60 minutes meeting with one of our senior Data Scientists on technical communication skills
A 45-60 minutes meeting with one of our senior Data Scientists on machine learning expertise
A 45-60 minutes meeting with one of our senior Data Scientists on coding
All calls will be conducted using zoom with video.
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Data Scientist Content Development | 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 Technical Content team
Our Technical Content team is committed to the creation and testing of questions that are a part of the most predictive and fair technical interviews available to software engineering candidates.
What you will do
As a Data Scientist - Interview Content at Karat, you will help develop best-in-class technical interview content in the domain of data science by authoring new questions and serving as the arbiter of quality on all content within this domain. You will also meet with clients, working with their data science teams to talk through how Karat’s assessments work, helping them to understand what signal they’re looking to capture from the interview process.
Author, test, and validate technical interview questions to assess the most important domains in data science across all levels of seniority.
Serve as a domain authority on new data science assessment content crafted by other contributors in the development pipeline, and provide feedback on improvements.
Ensure the performance of data science content in Karat’s library, ensuring it reflects up-to-date technologies and best industry practices.
Investigate and innovate on new types of interview formats to make Karat’s data science interviews predictive, fair, and enjoyable.
Collaborate with Karat’s client partners, including hiring managers, data scientists, data engineers, and data analysts to understand the hiring signal required for client roles; provide advice on what content is needed to create and gather that signal.
Establish the feasibility of producing predictive models from available data to meet specified product requirements on the content team.
The experience you will bring
6+ years of experience in an industry Data Science-focused role (focus on machine learning preferred)
Previous experience conducting interviews and hiring for industry data science roles
Experience with Python and related data science and machine learning libraries
Familiarity applying machine learning to solving business prediction and automation challenges
Strong data analysis and scientific thinking skills
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, familiar with data analytics and BI tools
Experience with — and a knack for — communicating technical work to partners
This is a full-time, salaried position. Immigration sponsorship is available.
Karat is a remote company with employees throughout the United States, Canada, and the United Kingdom. For this position, we are considering individuals based in the United States, Canada, and the United Kingdom.
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 Inclusivity:
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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Senior Product Manager Data Science | System1 |
System1 is looking for a senior product manager to join our Data Science team. You will drive product direction for a talented team focused on building models that power our large scale marketing platform. System1 products touch 100s of millions of users per month and our platform processes 5B+ data points every day.
The ideal candidate will have a background in managing technical data science & analytics projects, balancing stakeholder requests, working cross-functionally with engineering and operations teams and writing detailed functional specifications.
What You Can Expect on the Team
Define detailed product specifications pertaining to our data science & analytics efforts
Identify, prioritize & evangelize the areas that can get the biggest impact from using data science techniques
Create a prioritized roadmap of Data Science & Analytics projects, and define measurable success criteria for them
Be a thought partner for counterparts in Product, Engineering & Operations to recommend technical solutions, and influence the roadmap
Productize the ML platform and ensure it’s performance & quality is measurable using business metrics
Own the definition, tracking, and reporting on KPIs for all data science products
What You Will Bring
5+ years of product management experience in integrating and managing data science products, and data analytics
Proficient in scripting languages (Python/R)
Advanced SQL skills
Experience with NLP pipelines
Experience with experimentation (A/B testing, RDD, diff-in-diff experiments)
Knowledge of with Data visualization techniques
Engineering or computer science education and/or relevant technical background
Excellent written, verbal, and leadership skills
ETL experience is a plus
What We Have to Offer
Competitive PTO
11 Company Holidays
Untracked sick time
100% covered Medical, Dental, Vision for employees
401k w/match
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote
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Director Data Science | Transfix |
About Transfix:
Transfix, named to Forbes’ “Next Billion-Dollar Startups” list, is the leading transportation solutions provider whose digital brokerage marketplace and logistics software offerings are helping transform the $800 billion trucking industry. Since its founding in 2013, Transfix has been driven by a mission to deliver simple, smart, and sustainable solutions for shippers and carriers, powered by people and technology.
Here at Transfix, we are not only building incredible technology solving some of the world’s biggest, most complex, and most important challenges in the freight and logistics industry; We are also helping protect our environment and are passionate about making the world a better place by increasing sustainability and eliminating the extreme amount of waste that currently exists in our industry.
By combining deep industry expertise and a best in class carrier network with cutting-edge technology, Transfix is reimagining the world of transportation. Transfix works with some of the largest Fortune 500 companies such as Staples, Unilever, Target and Wayfair rely on Transfix to handle their most important FTL freight needs. With instant pricing, algorithmic matching, superior service, and unmatched intelligence, Transfix is optimizing the supply chain from start to finish.
The problems we solve everyday are real and require creativity, grit, and determination. Recognized as one of Built In’s Best Places to Work 2021, Transfix is building a culture that challenges norms while fostering experimentation and personal growth. We’re hiring team members who are passionate and are energized by the vision to simplify and transform one of the largest and most complex industries through technology, data and a strong commitment to customers.
About this Role:
Transfix is making huge investments in our Data & Analytics function, and we’re looking for a Director of Data Science to join and play a key role in the growth of Transfix. Reporting to the VP of Data & Analytics, this person will serve as a thought leader and subject matter expert in our Data Science function, and will manage our existing team as well as grow and scale the team to take our algorithms to the next level to help accelerate our already incredibly fast growth.
In this role, you will evaluate our current business & technical systems, gain a deep understanding of our future state, and will hire, build, train, and develop a team of data scientists. You’ll define and strive to solve key business challenges by reframing core issues into solvable problems, partnering with product managers, engineers and managers, and a range of stakeholders to drive cross-departmentalization alignment, as well as position Transfix as a leading player in Data Science within the logistics space.
This role is ideal for you if you are a data science subject matter expert and passionate people leader who is motivated to coach and develop teams to meet their full potential, and want to be a part of a growing organization that is driving automation and sustainability in a critical industry.
What You’ll Do In this Role:
Manage, develop, and recruit a growing team of data scientists; provide effective leadership and mentorship while fostering a culture of collaboration, autonomy, and excellence
Partner with stakeholders to understand key business challenges and priorities; present insights, unlock opportunities, and develop solutions that aim to address organizational roadblocks
Position yourself as a thought partner across the business by harnessing the power of data to drive effective decision making
Define, manage and update project pipelines
Develop a thorough understanding of our current models and continuously find ways to improve their accuracy and efficiency
Streamline the adoption and usability of data science systems across the organization
Partner closely with talent acquisition team to define an effective recruitment strategy for data science with the goal of tripling the size of the team within your first year
Create, define, and deliver the data science roadmap for next 18-24 months by understanding business needs and prioritizations - and aligning the roadmap to business goals
How You Know this Role is For You:
You have 8+ years of experience working as a Data Scientist, Machine Learning Engineer or Applied Statistician
You have 5+ years of experience leading analytical teams and have preferably managed a team of Data Scientists that have deployed end models
You have a demonstrated history of expanding Data Science as a service within a company
You possess the technical ability and business acumen to effectively communicate with both technical and business stakeholders - you’re as comfortable speaking with an Engineer as you are with a Salesperson
You love to recruit - you know how to identify Data Science talent and have a track record of hiring them
You have working experience building models that have been deployed to production and have added tangible value to a business
You have extensive programming experience in a language such as Python or R
You have experience querying SQL databases and working with data in business intelligence tools like Tableau or Looker
You’ve worked with a variety of machine learning techniques such as clustering, dimensionality reduction and decision tree learning
You have experience with advanced statistical techniques such as regression, sampling, simulation, and time series forecasting
You’re miles ahead If:
You have a graduate degree in Data Science, Economics, Statistics, Mathematics or another STEM discipline
#LI-Remote
#LI-SD1
Transfix is deeply committed to advancing diversity, equity, inclusion, and justice in our hiring, programming, and in our work both internally and externally. We recognize how critical diversity, equity, inclusion, and justice are to achieving our mission, our growth, and our success. In support of this commitment, some of our focuses include (but are not limited to):
-Developing policies, procedures, and services to our employees, carriers, and shippers that uplift and protect to prevent inequalities
-Building relationships among our employees, customers, and supporters that are reflective of our community
-Prioritizing the inclusion of diverse communities and underrepresented groups in internal leadership
-Fostering a culture of compassion, empathy, open-mindedness, compassion, and inclusivity
-Creating and maintaining opportunities for continuous education, discourse, and engagement related to issues of equity, diversity, inclusion, and social justice
Transfix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Transfix are based on business needs, job requirements, and individual qualifications, and are made without regard to race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. It is Transfix’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Transfix does not and will not tolerate discrimination or harassment based on any of these characteristics. Transfix encourages applicants of all ages.
To all recruitment agencies: Transfix does not accept unsolicited agency resumes and will not be held responsible for any fees related to unsolicited resumes.
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Sr Data Scientist | Openphone |
Are you passionate about Data? Are you excited by the opportunity to build a beloved B2B brand? Do you want to have a significant impact at a high-growth startup?
At OpenPhone, building simple and delightful experiences is not only our competitive advantage but a value we hold dear. This philosophy applies to everything we do; from the way we work to the look and feel of our product, from the infrastructure it’s running on to our content, customer interactions, and everything else.
As a Sr. Data Scientist at OpenPhone, you'll have the opportunity to dive into large datasets to guide decision-making. We tackle a wide range of exciting challenges including sales forecasting, lead scoring, operational optimization, product launches and more. If you're someone who enjoys finding patterns, speaking through data, and has experience using analytics to impact revenue, growth, and operations, we're looking for someone like you!
Here Are Some Things That You'll Do:
Use quantitative analysis and the presentation of data to share beyond the numbers and understand what drives our business
Build full-cycle analysis using SQL, R, Python, or other scripting and statistical tools
Produce recommendations and use statistical techniques and hypothesis testing to validate your findings.
Provide insights to help business and business leaders understand marketplace dynamics, user behaviors, and long-term trends
Identify and measure levers to help move essential metrics and make recommendations
Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
Collaborate with engineering to implement, document, validate, and monitor our evolving data infrastructure
About You:
Degree in Analytics, Data Science, Economics, Statistics or a related field
Experience in analytics, statistician, data scientist or consultant role
Ability to work on large databases and synthesize into useful reports and dashboards
Strong proficiency in SQL, R/Python, Tableau, Mode, other Business Intelligence tools
Ability to deliver actionable insights by synthesizing data into useful formats, and influence through logic, interpretation of data and effective communication.
Ability to manage and influence senior, cross-functional stakeholders
Strong business communication skills, both verbal and written
Familiarity with SaaS Enterprise systems and SaaS business operations a plus
Organized, attentive to detail, and intellectually curious
There's no such thing as a 'perfect' candidate. We're looking for an optimist with grit and determination, who is excited to face the challenges of a growing startup. OpenPhone is the type of company where you can grow, and we encourage you to apply to us even if you don't 100% match the exact candidate description.
About OpenPhone
OpenPhone is a new type of business phone. Our mission is to help people communicate better and be more productive.
We’re backed by Y Combinator and the best venture firms including Craft Ventures, Slow Ventures, Kindred Ventures, and others. We're serving thousands of businesses around the world and growing quickly. We take a lot of pride in providing an exceptional customer experience and a product people love. Our customers rated us #1 on all possible categories on G2 Crowd.
We're a distributed team working from around the world - San Francisco, Seattle, Ottawa, Moscow, Manila, Sydney, and many more.
We are committed to creating an inclusive workplace that values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Data Scientist App Ecosystem | Clio |
Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.
We are currently seeking a Data Scientist, App Ecosystem to join our Business Operations department in Burnaby, Calgary, or Toronto. This role is also available to remote candidates across Canada, excluding Quebec.
What your team does:
The App Ecosystem team is a cross-functional team, made up of folks in software development, product design, product marketing, app partnership management and dev relations - and we are so excited to welcome a data scientist to our group! The App Ecosystem team’s goal is to create a thriving and profitable ecosystem for 3rd-party developers to deliver legal technology to our customers. We already have 200+ integrations but we're only just getting started.
Who you are:
We are currently seeking a Data Scientist to be embedded on our App Ecosystem team, collaborating to guide rapid iterations of hypothesis, prioritization, experimentation, analysis and roll-out (supported by our Director of Data Insights and team of data scientists). You will help build a scientific culture in our Product team, help our business grow, and help our customers succeed. You’ll contribute to the success and growth of Clio’s App Ecosystem - both the success of our third-party app partners as well as value for customers using third-party apps. You’ll also help lay the foundation for this work by assisting us with the development of a tracking plan to ensure we have the data needed.
We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and someone who lives and breathes their values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:
Passionate about driving growth empirically;
Always looking to innovate with data and explore open-ended questions;
Strategically minded and never shies away from a challenge;
Self-motivated and able to work autonomously and collaboratively;
Agile and responsive, and comfortable with constant change.
What you’ll work on:
Collaborate with the App Ecosystem team to identify opportunities, develop hypotheses, and run experiments that drive growth;
Ensure that the data needed for our hypotheses and experiments is available and usable (event tracking, data modelling);
Identify new questions about our business, product, and customers that lead to impactful insights for the success of our third-party app partners and our customers, related to the App Directory;
Build predictive models to forecast the impact of specific App Ecosystem initiatives;
Establish requirements and best practices for event tracking, testing frameworks, and other data collection to enable new insights in a scalable and predictable way;
Innovate new techniques in statistical analysis, machine learning, and data mining to unlock opportunities in the App Ecosystem using both small and large datasets;
Build a scientific culture in the Product team by enabling discussions with data, disseminating best practices, and leading by example.
What you may have:
An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.)
3-5 years applied experience in data science;
Experience in product analytics working with product and user behaviour data;
Experience working with smaller datasets (e.g. Bayesian approaches) and making effective inferences using the volume of data available;
Proficiency in database modelling, SQL, and data warehousing principles;
Proficiency in developing analysis in Python, R, or a similar language;
Strong team player mindset, but able to work under own initiative and manage time effectively;
Excellent written and verbal communication skills.
Serious bonus points if you have:
A deep understanding of SaaS business metrics and growth drivers;
Experience with App Marketplaces or App Directories.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.
Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers.
About Clio
At Clio, we are on a mission to transform the legal experience for all. As the world's leading provider of cloud-based legal software, we provide lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. Through the cloud, we believe that we can help create a more inclusive legal community and a more equitable legal system. We are an award-winning team that has been recognized as one of Canada’s Best Managed Companies, Canada’s Most Admired Cultures and has topped Fast Company’s list of Most Innovative Companies. In line with our mission, we’ve been up to some big things, including becoming a multi-product company, launching a $1 million COVID-19 Legal Relief Initiative, and most recently, securing a US$110M Series E funding round and a USD $1.6B valuation.This is a historic moment in the growth of legal technology! As the first legal practice management unicorn globally, and one of only a handful of Canadian unicorns, this is only the beginning. If you’ve ever wanted to do the best work of your career, while having a meaningful impact in the lives of others, then Clio is the place for you.
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Senior Data Scientist | 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 Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.
Role Description
We're looking for a Senior Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, scale and monetize the business, and launch high-impact initiatives for Dropbox. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.
Responsibilities
Develop a deep understanding of customer journey phases and key business metricsPerform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experimentsInform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insightsCreate personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 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 ruthlesslyWork with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field3-5 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 HadoopProficiency in programming/scripting and knowledge of statistical packages like R or Python is a plusDeep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision treesStrong 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).
Benefits and Perks
Generous company paid individual medical, dental, & vision insurance coverage
401k + company match
Market competitive total compensation package
Free Dropbox space for your friends and family
Wellness Reimbursement
Generous vacation policy
11 company paid holidays
Volunteer time off
Company sponsored tech talks (technology and other relevant professional topics)
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Data Science Manager Data Science | 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 Engineering team is working to simplify the way people work together. They’re building a family of products that handle over a billion files a day for people around the world. With our broad mission and massive scale, there are countless opportunities to make an impact.
Role Description
The Data Science team is a central function which seeks to leverage data to help make better business decisions. This team leverages a variety of data sources and quantitative techniques to synthesize stories around how our customers use our products and develop key insights and actionable recommendations for our product teams.
We're looking for a manager, who will lead a team of data scientists to partner with growth, revenue, and product teams to answer key questions about how to grow revenue, scale a business, and launch high-impact initiatives. You’ll will work alongside product, engineering, design, marketing and research group leads to advise on high value quantitative projects and help achieve strategic business goals, as well as partner with the growth organization to create and execute a quantitative monetization strategy tied to our products.
To do this, you’ll align key analytics projects for you and your team with business objectives, and communicate your insights broadly across multiple leadership teams. You’ll also have the unique opportunity to define what analytics means at Dropbox by influencing groups across the company to better understand how they can leverage data to achieve their most ambitious goals. At the same time, you will get to lead an amazing team of talented, passionate data scientists and partner with senior leaders across Dropbox functions to shape the future of our business.
Responsibilities
Develop a deep understanding of customer journey phases and key business metricsPerform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experimentsInform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insightsCreate personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 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 ruthlesslyWork with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
Responsibilities
Build and manage a team of high performing team of data scientists to deliver best in class analytics Work with cross-functional teams (including Growth, Marketing, Product, Engineering, Design, User Research) to rapidly execute and iterate on our growth & monetization strategyLeverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps Create personalized segmentation strategies leveraging ML models to enable targeting of offers and experiences based on user attributes Identify key metrics and leverage automated dashboards to track health of the businessEnsure active collaboration with cross functional partners and perform analytical deep-dives to analyze problems, size opportunities and optimize through experimentation. Translate complex concepts into implications for the business via excellent communication skills, both verbal and writtenCoach, mentor and help set strategy for Data Scientists to drive even more impact for the teamUnderstand what matters most and prioritize ruthlessly
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field5+ years experience of leveraging data-driven analysis to influence key business decisions, preferably in a tech company2+ years directly managing data scientists, quantitative researchers, or product analystsProven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impactAbility to lead and inspire a team who converts data into insights Ability to influence prioritization and execution of high impact projects effecting customer experience and monetizationAbility to analyze large datasets and use data to inform product or business decision making, with a track record of driving directly measurable product or business impactExcellent verbal and written communication skillsPrevious experience building data driven programs and teams - experience with SQL and large datasets, deep understanding of statistical analysis & experiment design
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).
Benefits and Perks
Generous company paid individual medical, dental, & vision insurance coverage
401k + company match
Market competitive total compensation package
Free Dropbox space for your friends and family
Wellness Reimbursement
Generous vacation policy
11 company paid holidays
Volunteer time off
Company sponsored tech talks (technology and other relevant professional topics)
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Staff Data Scientist Product | Humu |
Are you interested in championing a product that makes work better? The science is clear: happier employees are more productive and stay at companies longer—everyone wins!
Who we are
We’re Humu — we build products based in behavioral science that help people grow and thrive at work. In short, we’re here to make work better.
Humu nudges people towards better ways of working, unlocking the potential of individuals, teams, and organizations. We enable companies to drive positive change by deploying personalized, scientifically-backed suggestions called nudges to employees. These nudges help people build better habits, work smarter and connect with their colleagues.
What you’ll get to work on
Humu’s Nudge Engine® deploys thousands of customized nudges—small, personal steps—throughout organizations to empower every employee, manager, team, and leader as a change agent. Over time, our nudges grow increasingly aware of the timing, messaging, and motivational techniques that inspire individual employees towards action.
The details
As a senior member of our Data Science team, you will:
Conduct rigorous analyses to understand how people interact, communicate, and collaborate, using large and complex product datasets
Transform messy, raw, complex product data into meaningful and valid features that effectively describe collaboration and communication behavior
Collaborate with non-Data Scientists in the Product Organization (Product Managers, Engineers, and Designers) to build new product features, and adopt a product mindset in all your analyses
Collaborate with our Behavioral Science team to design user-facing dashboards and insights that motivate and inspire action
Design meaningful metrics and KPIs to track product performance, and build internal dashboards to build a deeper understanding of our product internally
Learn from and collaborate with other Data Scientists, as well as mentor others on the team
Qualifications:
4+ years of industry experience working on a Data Science team; preferably a team that uses product usage/interaction data to drive product development and innovation
Expert knowledge of advanced statistical techniques (e.g., regression, cluster analysis, social network analysis, latent profile analysis, hierarchical linear modeling, choice modeling, Bayesian methodologies, etc.)
Expert in R or Python
Proficient in SQL
Knowledge of Git a plus but not required
Knowledge of human behavior (e.g., economics, sociology, psychology) a plus but not required
Ability to translate data into compelling insights for a non-technical audience
Strong cross-functional collaboration and communication skills
Ability to navigate ambiguity and solve problems in a fast-paced environment
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Data Scientist Product | Humu |
Who we are
We’re Humu — we build products based in behavioral science that help people grow and thrive at work. In short, we’re here to make work better.
Humu nudges people towards better ways of working, unlocking the potential of individuals, teams, and organizations. We enable companies to drive positive change by deploying personalized, scientifically-backed suggestions called nudges to employees. These nudges help people build better habits, work smarter and connect with their colleagues.
What you’ll get to work on
Humu’s Nudge Engine® deploys thousands of customized nudges—small, personal steps—throughout organizations to empower every employee, manager, team, and leader as a change agent. Over time, our nudges grow increasingly aware of the timing, messaging, and motivational techniques that inspire individual employees towards action.
The details
As a member of our Data Science team, you will:
Use key metrics and KPIs to track product performance
Conduct high-impact analyses to understand how people are using our product, and which features are driving the most engagement
Use data to help our Product team more deeply understand our user base
Build internal dashboards to build a deeper understanding of our product internally
Learn from and collaborate with other Data Scientists
Qualifications:
0-4 years of experience on a Data Science team
Knowledge of common statistical techniques (e.g., regression, cluster analysis, etc.)
Proficient in R or Python
Proficient in SQL
Knowledge of Git a plus but not required
Knowledge of human behavior (e.g., economics, sociology, psychology) a plus but not required
Ability to translate data into compelling insights for a non-technical audience
Strong cross-functional collaboration and communication skills
Ability to navigate ambiguity and solve problems in a fast-paced environment
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People Science Intern Teams Research | Humu |
Are you interested in championing a product that makes work better? The science is clear: happier employees are more productive and stay at companies longer—everyone wins!
Who we are
We’re Humu—we build products based in behavioral science that help people grow and thrive at work. In short, we’re here to make work better.
Humu nudges people towards better ways of working, unlocking the potential of individuals, teams, and organizations. We enable companies to drive positive change by deploying personalized, scientifically-backed suggestions called nudges to employees. These nudges help people build better habits, work smarter and connect with their colleagues.
What you’ll get to work on
Humu’s Nudge Engine® deploys thousands of customized nudges—small, personal steps—throughout organizations to empower every employee, manager, team, and leader as a change agent. Over time, our nudges grow increasingly aware of the timing, messaging, and motivational techniques that inspire individual employees towards action.
The details
Responsibilities:
As an intern on the People Science team, you will:
Use research and data to help us better understand team dynamics and how to drive behavior change within teams most effectively
Identify opportunities to build even more behavioral science into the Humu platform
Collaborate cross functionally to design, implement, and iterate new product features and user experiences
Contribute to the Humu nudge library
Inform our approach to capturing and interpreting new data signals that further optimize nudges and other behavioral interventions
Learn from and collaborate with other Behavioral Scientists, Data Analysts, and Data Scientists
Qualifications:
Enrolled in a graduate program in a field that uses research and analytics to understand and influence human behavior (e.g., Organizational Behavior, Social Psychology, Industrial/Organizational Psychology, etc.), preference given to candidates who have completed at least their second year of graduate coursework
Deep expertise in research related to teamwork in organizations (team effectiveness, collaboration, communication, etc.)
Experience analyzing group-level, team-level or dyadic data in a business or academic context
Passion for applying social science research to solve real-world organizational issues
Demonstrated knowledge of statistics and statistical software (e.g., R, SPSS, Stata)
Ability to communicate clearly and effectively, and to translate data into insights for a non-technical audience
Ability to navigate ambiguity and solve problems in a fast-paced environment
*This role is fully remote and open to US based candidates.
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Staff Data Scientist Social Networks | Humu |
Are you interested in championing a product that makes work better? The science is clear: happier employees are more productive and stay at companies longer—everyone wins!
Who we are
We’re Humu — we build products based in behavioral science that help people grow and thrive at work. In short, we’re here to make work better.
Humu nudges people towards better ways of working, unlocking the potential of individuals, teams, and organizations. We enable companies to drive positive change by deploying personalized, scientifically-backed suggestions called nudges to employees. These nudges help people build better habits, work smarter and connect with their colleagues.
What you’ll get to work on
Humu’s Nudge Engine® deploys thousands of customized nudges—small, personal steps—throughout organizations to empower every employee, manager, team, and leader as a change agent. Over time, our nudges grow increasingly aware of the timing, messaging, and motivational techniques that inspire individual employees towards action.
The details
As a senior member of our Data Science team, you will:
Conduct rigorous analyses to understand how people interact, communicate, and collaborate in the workplace, using large and complex datasets
Transform messy, raw, complex data into meaningful and valid features that effectively describe collaboration and communication behavior
Collaborate with non-Data Scientists in the Product Organization (Product Managers, Engineers, and Designers) to build new product features that rely on social network data
Collaborate with our Behavioral Science team to design user-facing dashboards and insights that use social network and communication data to motivate and inspire action
Learn from and collaborate with other Data Scientists, as well as mentor others on the team
Qualifications:
Strong background in human behavior, statistics and data analysis
PhD, Masters, or equivalent expertise in a field that uses data to understand and model human social behavior and social interactions (e.g., Social Psychology, Economics, Public Health, Political Science, Education, Behavioral Economics, Industrial/Organizational Psychology)
5+ years of experience working with social network data
4+ years of industry experience working on a Data Science team that uses product usage/interaction data to drive product development and innovation; experience with social networking apps or collaboration/communication software a plus but not required
Expert knowledge of advanced statistical techniques in addition to social network analysis (e.g., regression, cluster analysis, latent profile analysis, hierarchical linear modeling, choice modeling, Bayesian methodologies, etc.)
Expert in R or Python
Proficient in SQL
Knowledge of Git a plus but not required
Ability to translate data into compelling insights for a non-technical audience
Strong cross-functional collaboration and communication skills
Strong data visualization skills
Ability to navigate ambiguity and solve problems in a fast-paced environment
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Intern Data Science | Autodesk |
Job Requisition ID #22WD63894Autodesk customers make sense of the world through rich streams of data that might include 3D scans of buildings, fluid dynamic simulations, daily notes on the construction site, trends on product usage and more. As a Data Scientist Intern, you will get to apply your knowledge in data engineering, work with the latest machine learning models, contribute to the next-generation MLOps platform and make an impact by helping our customers create a better, safer, more sustainable world. Responsibilities
Develop, prototype, and deploy machine learning models
Perform analysis on large datasets and produce qualitative visualizations based on reporting requirements
Develop analytical solutions and dashboards that integrate data from a wide variety of sources such as relational databases, AWS, data virtualization tools
Understand technology operations data from many different sources in detail to create these models
Optimize workflows and scripts on data lake for data cleaning, processing, and transformation
Extract and derive useful metrics and KPIs from raw data gathered from multiple data sources
Minimum Qualifications
Pursuing a Master's in Computer Science or Data Science.
Proficiency with data analysis using Python and experience with open-source data science toolkits (Pandas, SciKit-Learn, NLTK, etc.)
Familiarity with various statistical and machine learning techniques including classification, regression, dimension reduction, regularization, clustering and various multivariate methods
Familiarity with relational data modeling and SQL
Familiarity with Snowflake or comparable Data Warehouse and ETL tooling like Astronomer/Airflow and DBT.
Preferred Qualifications
Prior experience implementing and deploying data science models or data products in Production
Experience working in an Agile/SCRUM environment
Experience working in an AWS environment and leveraging its offerings such as EC2, S3, Lambda, Glue, Athena, SageMaker etc.
Be self-motivated, creative and collaborative
About the US Intern Program
The U.S. program runs from May through August for 12 weeks and will be remote (subject to change). All internships are paid. Interns have the opportunity to work alongside peers from universities all over the country and participate in intern events such as TED talks, mentoring, fun events, and more. US recruiting begins in the Fall and concludes end of March.
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.
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Security Data Scientist Duo Security | Duo |
Duo Security, now part of Cisco, is the leading multi-factor authentication (MFA) and secure access provider.
With the Most Loved Company in Security and the global leader in network technology joining forces, there are more exciting opportunities than ever to be at the forefront of securing the cloud.
Our mission is simple: democratize security by making it easy and effective for everyone. We’re transforming security from the ground up by solving the world’s most pressing geopolitical challenge — safe, secure information access. We engineer our business to enable our customers to easily address their ever-evolving security challenges.
We believe that impactful work is rewarding work and that our team is at its best when everyone feels empowered to bring their whole self to work. We learn together by hiring for cultural contribution, not cultural fit, and recognize that diversity in background and thought are essential to building high-impact teams.
We invest in growth and learning opportunities and encourage our people to never stop learning. We foster collaboration and believe in being recognized (and rewarded!) for hard work. We champion a healthy work-life balance. We’re kinder than necessary.
Together we build for the future by designing simple solutions for complex problems. And that’s why we’re the most loved and trusted name in security.
About the team:
Duo’s data science teams empower our colleagues and customers to improve security outcomes and make data-informed decisions. We support product development and prioritization, architect Duo’s data analysis environment, research and build the models and logic behind Duo Trust Monitor and risk-based authentication flows, coauthor impactful public reports, participate in the security and data science research communities, and more. We spend a fair bit of time on the deceptively difficult task of counting things.
As part of this group, the Algorithms Research team brings Data Science and Security expertise together to develop product features that use data to improve security and user experience. We are an applied research team, working collaboratively with Engineering and Product on a daily basis to create tangible customer impact. From large scale anomaly detection models to simple rule-based detectors, we discover and deliver algorithms that solve the problem at hand while also driving innovation.
As a Data Scientist on our Algorithms Research team, you will…
Collaborate with Product Managers, Designers, and Engineers to develop and deploy algorithms that power Duo’s adaptive product capabilities. Some days you might be choosing thresholds for simple detection rules. Other days you might be experimenting with unsupervised anomaly detection at massive scale.Combine empirical investigation and security domain knowledge to understand the current landscape of threats faced by Duo’s customers.Represent a Data Science perspective during product development, helping teams appropriately prioritize data collection, feedback loops, and other prerequisites for future data work.Identify when machine learning isn’t the best solution to a problem, and collaborate with appropriate stakeholders to pivot to a design or engineering based solution.
You should have...
A strong grounding in at least one of Security, Data Science, or Machine Learning, with some experience and substantial interest in the others.Foundational knowledge of statistical and modeling techniques - you can reason about sampling and variance, evaluate model fit or predictive performance, and choose between modeling frameworks given problem, infrastructure, and data constraints.Fluency in at least one data analysis and modeling language (like Python or R), plus at least some familiarity with Python specifically. Experience delivering impactful research projects in an applied setting. A focus on collaboration with Engineers, Designers, Product Managers and other stakeholders. You know how to translate between data science vocabulary and a variety of product, user, and stakeholder perspectives.Excellent communication skills across multiple modalities, audiences, and contexts. We do a lot of our work through asynchronous messaging and documents.High tolerance for ambiguity and an appreciation for negative results, balanced by an eye for delivering incremental value where possible. You value an effective solution over a fancy model.
Even better if you have...
Experience applying data science tools to unsupervised problems in the security domain.Graduate-level expertise and/or formal education in statistics, data science, machine learning, computational sciences, or similar.Software Engineering training or experience, and comfort working with the AWS ecosystem.Experience working on a SaaS product.
WHY CISCO SECURE
#WeAreCisco, where each person is unique. We bring our talents to work as a team each day, helping power an inclusive future for all. Get to know us! We’re global, we’re adaptable, we’re diverse, and our security portfolio is as extensive as it is groundbreaking. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? Those are only a few of our product teams! The only thing we’re missing is YOU.
Join an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we’re better together, that’s why we’re dedicated to inclusivity, collaboration, and diversity in everything we do.
We’re proud to be the Best Security Company in 2021 with the Best Authentication Technology and the Best Small and Mid-Size Enterprises Security Solution in 2022 by SC Media. Cisco Secure continues to grow and evolve year after year with 100% of Fortune 100 Companies using our products, and we’re excited to see the new heights we’ll reach with your passion for security, your customer focus, and your desire to change things up!
What else can you expect? An ongoing investment in your growth—that’s why we offer many employee resource groups (called Inclusive Communities), mentorship programs, and hundreds of learning resources to consistently level up your skillset and explore your interests. Because when you succeed, we succeed!
“Cisco Secure offers an environment that combines cutting-edge, mission-critical, technology with some of the brightest, most diverse set of people I’ve ever had the pleasure of working with.” – Chief of Staff, Engineering
Join Cisco Secure – Be You, With Us!
#CiscoSecureEng23
Duo is committed to cultivating and preserving a culture of inclusion and connectedness. We are able to grow and learn better together with a diverse team of employees. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and Duo’s achievement as well. In recruiting for our team, we welcome the unique contributions that all potential candidates can bring in terms of their education, opinions, culture, ethnicity, race, gender identity and expression, nationality, age, languages spoken, veteran’s status, religion, disability, sexual orientation and beliefs.
And if this role is exciting to you, we encourage you to apply even if you don’t meet all 100% of the description or qualifications. Finally and most importantly, we are a proud Equal Opportunity Employer.
#LI-NG2
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Senior Data Scientist Product Strategy Duo Security | Duo |
As a Senior Data Scientist for Product Strategy on our Product Insights Enablement team, you will empower data-driven innovation by working closely with Duo’s Product org. In collaboration with Product Managers and Product leadership, you will create and coordinate relevant metrics, models, and analyses to improve the speed and effectiveness of Duo’s strategic and prioritization processes.
What you’ll do…
Build relationships across Duo’s Product org, maintaining broad context about Duo’s products and customers.Collaborate with data scientists embedded with product development teams to ensure that the product metrics they develop are centralized and available to appropriately inform product strategy.Work with domain experts through the business to establish and use shared metrics, models and concepts for customer segmentation, financial forecasting, customer retention, and more.Empower Product Managers and Product leadership to use data and models appropriately and effectively in their decision making processes.Become an expert on Duo's product metrics across the portfolio. Use your data detective and creative problem solving skills to identify and find solutions for any gaps in the data, and work collaboratively with other data scientists to advise on consistent cross-product understandings of these metrics.Communicate the results of any findings plus their limitations clearly to others who may have little experience interpreting complex data and who will share those complexities more broadly across the business and with customers.
Skills you have…
Background in statistics, product analytics, or another data-intensive field, with 3 or more years of experience in a relevant professional setting.Significant experience applying data modeling and analytics to decision making for a commercial software product (bonus points for experience with SaaS B2B products).Proven capability to work with a variety of partners to elicit and articulate their data needs.The ability to translate technical findings and their limitations to diverse audiences.Familiarity with SQL, R, Python, or other data analysis tools, with expert-level experience in at least one of these.An aim to leave data, processes, and pipelines better than you found them.Comfort working under ambiguity, and an ability to build clarity from uncertainty.
Even better if you have...
You have direct experience with product management for a SaaS B2B product.Knowledgable in the security sector.
Why cisco secure
#WeAreCisco, where each person is unique. We bring our talents to work as a team each day, helping power an inclusive future for all. Get to know us!
We’re global, we’re adaptable, we’re diverse, and our security portfolio is as extensive as it is groundbreaking. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? Those are only a few of our product teams! The only thing we’re missing is YOU.
Join an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we’re better together, that’s why we’re dedicated to inclusivity, collaboration, and diversity in everything we do.
We’re proud to be the Best Security Company in 2021 with the Best Authentication Technology and the Best Small and Mid-Size Enterprises Security Solution in 2022 by SC Media. Cisco Secure continues to grow and evolve year after year with 100% of Fortune 100 Companies using our products, and we’re excited to see the new heights we’ll reach with your passion for security, your customer focus, and your desire to change things up!
What else can you expect? An ongoing investment in your growth—that’s why we offer many employee resource groups (called Inclusive Communities), mentorship programs, and hundreds of learning resources to consistently level up your skills and explore your interests. Because when you succeed, we succeed!
“Cisco Secure offers an environment that combines brand new, critically important, technology with some of the brightest, most diverse set of people I’ve ever had the pleasure of working with.” – Chief of Staff, Engineering
Join Cisco Secure – Be You, With Us!
#CiscoSecureEng23
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Junior Data Scientist | Superpedestrian |
Superpedestrian is engineering the future of micromobility. The Superpedestrian team is composed of some of the most talented operations specialists, policy managers, designers and engineers, all focused on transforming the future urban mobility. Our scooters, called LINK, were designed to prioritize safety from the inside out, and our Superpedestrian team is dedicated to building meaningful local and city partnerships across the world. Join us!
Superpedestrian is seeking an ambitious and talented Junior Data Scientist to join in research and development of cloud software projects to apply data collected from next generation IoT hardware deployed in a variety of applications. Potential applications may include computer vision, digital signal processing, fleet management, and user behavior analysis.
What you’ll do:
Analyze data collected from IoT devices using state of the art data analysis tools to identify modeling opportunities
Make use of state of the art machine learning techniques to create, maintain and improve statistical models of data collected from our IoT fleet
Write software to integrate models into cloud applications and workflows
Work with stakeholders to identify business value that can be delivered from models
Contribute to infrastructure for collaboration with other Data Scientists working on other capacities at Superpedestrian
What you’ll bring:
MS or equivalent experience in computer science, machine learning, digital signal processing or related field
Fluency in Python with a focus on Data Science
Experience with: Machine Learning frameworks such as Tensorflow or PyTorch, data science workbench such as JupyterLab, and Visualization tools such as Plotly, Matplotlib or bokeh.
Basic understanding of web architecture (preferred)
Enthusiasm for IoT systems
Why you'd want to join us:
We’re different.
We are born of engineers, not venture capitalists. Our control centre and test labs are located in Cambridge, Massachusetts, alongside MIT and Harvard University. We have some of the sharpest minds in the industry, and we hold more than 30 patents for our amazing technologies. None of our competitors come close.
LINK is the result of eight years developing our artificial intelligence-driven safety platform, and two years designing a robust chassis and efficient powertrain to match. We take our time to get our technology, our operations and our recruitment just right, because we think long-term.
And we’re growing fast. You’ll have the opportunity to shape our company and the way we work, and make a real difference to communities through our services.
Superpedestrian actively encourages applicants of all backgrounds. If you think you meet most of the requirements, but not every single point on the job description, please apply! We’d love to have a chat and see if you'd be a great addition to our team.
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Principal Data Scientist Space Systems | Planet |
Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, and The Netherlands.
About the Role:
The Space Systems division at Planet designs, develops, and operates Planet’s fleet of imaging satellites. We own the full lifecycle of satellite development, from concept to re-entry, and prioritize speed, efficiency, continuous improvement and scale as we field these systems. As a Staff Data Scientist you are responsible for partnering with Space Systems executive leadership and R&D/engineering teams to drive the remote sensing data science strategy that informs our development of next generation satellite hardware. You will be responsible for understanding the end user applications of our systems and products, working as a subject matter expert and embedded ‘product architect’ to inform our engineering roadmap. This will entail collaborating across multiple teams within Space Systems and Planet as a whole to define and derive requirements that will influence satellite design, and performing the necessary analysis to be sure the satellites of today are compatible with the cutting edge applications and products of tomorrow.
Crucially, this is a very visible and cross-functional role requiring excellent collaboration and communication skills and you must demonstrate a strong commitment to Planet’s cultural values, agile principles and leadership through influence to succeed. You will partner directly with the chief spacecraft architect, executive program sponsors, product managers, and spacecraft design teams, and act as a bridge to many more teams including core imagery and data platform engineering teams, analytics and sensor fusion R&D teams, and sales and product marketing teams as necessary.
Impact You’ll Own:
Space Systems’ primary product stakeholder and subject matter expert for Planet’s future analytical offerings, acting as the bridge between mission/satellite development and downstream analytics product offerings in order to create a closed loop feedback cycle early on in new mission specification
Accountable for ensuring that future satellite capabilities clearly represent and serve Planet’s commercial, technical and product roadmap
Liaising with Planet’s product management and product marketing teams to validate imagery product requirements via analysis, and negotiating changes as necessary
Converting Planet’s market use cases into specific and actionable remote sensing requirements to inform new remote sensing system development
Helping to drive the remote sensing data science strategy to make sure Planet’s new systems are collecting the right information at the right time at the right price to maximize their business and impact value
Acting as Planet’s ambassador for future capabilities to potential partners, customers and internal stakeholders as needed
Pushing the boundaries of the possible in using automated analytics to derive value from geospatial data, with sensor selection and onboard/edge in mind
Supporting the Planetary Variable, analytics SW, the EOLab R&D and other teams on high priority roadmap work as needed
Fostering greater consistency of engineering practices across software teams, and providing “golden paths” to support those practices
What You Bring:
Demonstrated capability as both leader and individual contributor throughout the journey from design through shipping and operations
Passion for identifying opportunities to improve practices, explore solution options, and socializing ideas with colleagues toward fostering common cause
Mentorship of engineers and “lifting all boats” in an organization
Passion for improving the status quo and making teams work better together
A strong interpersonal skill set where team alignment can consistently be delivered and maintained
Experience working with synthetic/simulated/surrogate imagery datasets and imaging physics models, and a deep understanding of the strengths and limitations of such tools
Experience with remote sensing time series analysis, data structures, and building complex models
Vast experience as an end user of satellite imagery for remote sensing, GIS applications, and advanced analytics
Exceptional understanding of the current and future needs of analytics and machine learning thresholds for extracting maximal utility out of our satellite data
The ability to operate effectively and decisively in an information rich environment with minimal guidance and extended autonomy
The ability to make decisions that align with Planet’s technical and strategic roadmap as well as Planet’s core values
A willingness to travel to Planet HQ in SF as needed
Benefits While Working at Planet:
Comprehensive Health Plan
Wellness program and onsite massages in specific offices
Flexible Time Off
Recognition Programs
Commuter Benefits
Learning and Tuition Reimbursement
Parental Leave
Offsites and Happy Hours
Volunteering Benefits
Some Press About Us:
Our CEO, Will Marshall featured on TED and featured in a Planet Blog
“Planet: Bringing Space Back Down to Earth”
Tiny, privately owned satellites are changing how we view the Earth features in NBC News
“Planet And Rocket Lab Create Mission Patch To Honor Women In Aerospace” —Planet Blog
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the interview process, please call Planet's front office at 669-214-9404 or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Compensation (only applicable for Colorado applicants):
The base pay range targeted for this position in Colorado is: $156,600 - $243,900. This role is eligible for equity.
The actual offer, including the compensation package, is determined based on multiple factors, including experience, location, and other business considerations.
Planet is registered as an employer in many, but not all, states. If you are not able to work from a state where Planet is registered, you will not be eligible for employment.
#LI-REMOTE
#LI-CL1
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Manager Data Science Analytics Central Analytics | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
As a senior member of the analytics team, you will deliver re-usable data products for use by executive, operations, partnerships, product, and engineering teams. You will collaborate with data engineers, data scientists, product managers, and operations analysts to develop and drive the data analysis strategy for Chartboost’s data platform. You will create re-usable, and easily maintainable data products, dashboards, design and execute A/B tests. Our data is massive ~4.3PB, with ~100TB ingested daily. If you’re looking for the rare opportunity to solve complex challenges at scale and impact the ad-tech ecosystem in a meaningful way, you will find this role compelling and rewarding.
Impact you will make:
Deliver analyses and reporting to the leadership team to track achievement and performance of financial targets. Deliver weekly deep-dives on opportunities and gaps in business performance. Empower the leadership to make critical business decisions.
Design and execute A/B tests to compare performance of new features and strategies vs. benchmark. Empower product team to evaluate product performance.
Develop statistical and machine learning models that drive product insight and impact product vision
Design and execute analyses to key operational questions to improve yield revenue, and profitability of advertising campaigns. Empower the operations and business teams to prioritize advertisers, and publishers and test operational strategies.
Define, prioritize and deliver analytics roadmap and product features based on business requirements.
Take ownership of the data and visualization strategy for the analytics team.
Manage members of the team by providing technical and career guidance
Who you are:
BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred
5+ years of experience as a data analyst ideally with 1+ years of experience in digital advertising or gaming
Fluent in SQL; Solid experience with programming in Python; Adept in at least one visualization tool such as Tableau, or QlikView
Demonstrable experience with some or all of the following: statistics, experimental design, machine learning, deep learning
Experience in analyzing large datasets, preferably in a Hadoop or Spark environment, and deploying production ready systems at scale
Strong written and oral communication skills
Ability to work effectively in a fast-paced environment with changing priorities
Ability to collaborate effectively with engineers, product managers, analysts, and marketing to deliver unambiguous business impact
Perks:
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
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Senior Data Scientist | Mixpanel |
About The Role
The Analytics team does product research, builds analytical frameworks and forecasts, tells data stories, and makes recommendations so that Mixpanel can run on data. Since Mixpanel's mission is to enable our customers to be data-driven, it is only natural that Mixpanel itself is serious about being data-driven too. As a result our team's scope covers the entire business and product.
We believe analytics is a profession. We inform the most important decisions the company makes with our analyses. We ensure everyone at Mixpanel has easy access to the data and research they need. And because Mixpanel builds an analytics product, we are a valuable input for our product teams as they build future analysis features.
Responsibilities
Answer Mixpanel's biggest business and product questions to inform our strategy and operations.
Work with Mixpanel’s leadership to identify the highest priority strategic questions, and define a research roadmap to answer them.
Lead quantitative research to discover:
The relationships between user-level behavior in Mixpanel and organization/customer-level outcomes.
The best strategies for our product, marketing, and sales teams to drive higher user adoption, customer happiness, and revenue growth.
The best proxy metrics for teams to use to achieve company goals.
Conduct regular metrics and research reviews with company leaders.
Forecast metrics and attribute metrics trends to internal and external factors.
Design the right “data interfaces” or data UX for internal users in operational teams to get easy access to the right data at the right time to best do their jobs.
Communicate analysis insights at all levels of the organization to drive positive change.
We're Looking for Someone Who Has
Experience driving dramatic positive change with recommendations rooted in data analysis and quantitative research.
Ability to work with structured and unstructured data, including:
Advanced SQL
Scripting ability in Python, R, or a similar language.
Familiarity with cloud-based data warehouses, dbt, and collaborative data science notebooks.
Hands-on experience building and deploying statistical and/or machine learning models.
Experience collaborating effectively with teams and leaders in different parts of a business.
Strong written and verbal communication
#LI-JY1
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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 1M+ 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
Pay Transparency: The pay range for this position is $114,000-$172,000 and doesn't include our benefits and very generous equity package. This pay range may be adjusted for certain geographies, based on local labor costs. If you are hired at The Mom Project, your final base salary will be based on factors such as geographic location, skills, and depth of experience.
We're just getting started. Join us in building the future of work.
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Data Scientist Machine Learning And Algorithms Risk Management | Binance |
Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?
Data driven based business is the core in helping to use cloud native platform to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analysis for continuous innovations.
As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products which are used by our tens of millions of crypto-currency users.
You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based off our rich data and cutting-edge machine learning technology.
Responsibilities:
Universe risk management: data analysis and modeling to KYC, payment, credit, exchange scenesUser behavior and pattern analysis
Leverage of our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognitionDigital data asset
Obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations
Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis
Requirements:
2+ year experience developing machine learning models at scale from inception to business impact
Deep understanding of modern machine learning techniques and mathematical underpinning, such as classifications, recommendation systems, optimization and etc.
Working with data size from Terabyte to Petabyte scale
Good experience with Python, Java and/or Scala is preferred (2+ years) with solid project experience
Excellent communication skills (English Reading/Writing skills are required)
Master’s Degree with at least 2 years machine learning experience or PhD
Experience in Deep Learning is a plusExperience in productionizing machine learning models is a plus
Working at Binance
• Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry
• Fast moving, challenging and unique business problems
• International work environment and flat organisation
• Great career development opportunities in a growing company
• Possibility for relocation and international transfers mid-career
• Competitive salary
• Flexible working hours, Casual work attire
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
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Data Scientist Lead | Booz Allen Hamilton |
Data Scientist, Lead
The Challenge:
Are you a seasoned analytics professional who wants to be at the cutting-edge of data science and artificial intelligence? If you care about leading a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep analytics and consulting expertise, coupled with an original approach to your work, will guide clients and stakeholders as they make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects.
As an advanced data scientist on our AI team, you’ll introduce innovative methodologies to make a real-world impact on fraud prevention and healthcare. You’ll share your skills in data science, AI and machine learning and shape the future of analytics through a variety of means like business development and intellectual capital creation including peer-reviewed papers, or major conference presentations.
We’ll keep you sharp and moving forward in your career, with access to online courses, the latest tools and methods and opportunities to publish or present at conferences. Whether you’re using AI to detect fraud, waste and abuse or enhancing the quality of healthcare for Veterans, you’ll lead a team that serves critical missions from end to end. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Join us. The world can’t wait.
You Have:
6+ years of experience with data science, data analytics, bioinformatics, machine learning or data engineering, including in a management or advisory roleExperience with programming languages, including SQL, Java, R, Python, or PySparkExperience with cloud computing technologies including AWS, Azure, or GCPExperience with creating solutions within a collaborative, cross-functional team environmentAbility to explain analytic and model findings to senior leadership and non-technical audiencesAbility to obtain a security clearanceBachelor’s degree
Nice If You Have:
3+ years of experience with project management, including providing technical direction and leadership to data science teamsExperience with developing and implementing successful market strategies and business developments and leading proposal, project, and intellectual capital creationExperience with fraud detection analytics and data, including developing predictive models around fraud, risk, or other rare eventsExperience in working with healthcare data, including claims, electronic health records, or financial transactions and paymentsKnowledge of the landscape of technology capabilities around AI/ML, including experience with a wide range of supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is 130,000 to 170,000.
Build Your Career:
At Booz Allen, we know the power of analytics, and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good eventparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Data Scientist Mid | Booz Allen Hamilton |
Data Scientist, Mid
The Opportunity:
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by the internet of things, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors including fraud detection, cancer research, and national intelligence, we need you to help find the answers in the data.
On our team, you’ll use your analytical skills and data science knowledge to create a real world impact. You’ll work closely with your clients to understand their questions and needs, including digging into their data rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems, and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.
This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Work with us as we use data science for good.
Join us. The world can’t wait.
You Have:
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining2+ years of experience with statistical and general purpose programming languages for data analysis, including Python, R, C or JavaExperience analyzing structured and unstructured data sourcesExperience developing predictive data models, quantitative analyses and visualization of targeted data sourcesKnowledge of Machine Learning, Artificial Intelligence, or Natural Language ProcessingKnowledge of text mining or machine learning techniquesAbility to obtain a security clearance Bachelor’s degree
Nice If You Have:
2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL2+ years of experience using statistical software applications, including SAS or R2+ years of experience developing experimental and analytic plans for data modeling processes, using strong baselines, and accurately determining cause and effect relationshipsExperience with visualization packages, including Plotly, Seaborn, or ggplot2Secret clearance Master’s degree
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is $85,000 to $95,000.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Data Scientist | Booz Allen Hamilton |
Data Scientist
The Opportunity:
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need a seasoned data scientist like you to help find the answers in the data.
On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide and mentor your team as you oversee the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Work with us as we use data science for good.
Join us. The world can’t wait.
You Have:
8+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining8+ years of experience with statistical and general-purpose programming languages for data analysis8+ years of experience analyzing structured and unstructured data sourcesExperience developing predictive data models, quantitative analyses and visualization of targeted data sourcesExperience leading a team with projects and deliverablesExperience leading the development of solutions to complex programsExperience with natural language processing, text mining, or machine learning techniquesSecret clearanceBachelor’s degree
Nice If You Have:
Experience with the development of algorithms leveraging R, Python, or Structured Query Language (SQL) and NoSQLExperience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL Experience with Machine Learning, Artificial Intelligence or Natural Language ProcessingExperience with visualization packages, including Plotly, Seaborn, or ggplot2TS/SCI clearance with a polygraph
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full time and part time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs, individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
Salary for this position is determined by various factors, including but not limited to, location, the candidate’s particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below.
Colorado: $135,000 - $150,000 (annualized USD)
New York (including New York City): $140,000 - $160,000 (annualized USD)
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Data Scientist And Engineer | Booz Allen Hamilton |
Data Scientist and Engineer
The Opportunity:
As a Data Scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a Data Scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.
On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Work with us as we use data science for good.
Join us. The world can’t wait.
You Have:
5+ years of experience designing, modifying, developing, writing, and implementing software programming applications using agile methods5+ years of experience developing data science solutions in Python, Julia, R, or JavaExperience with administration of continuous integration and deployment of CI/CD pipelines using Jenkins, or GitHub actionsExperience with approaches and tools for automated testing and monitoringExperience with Tableau or Qlik integrationKnowledge of object-oriented design principles and design patterns such as GoFSecret clearanceBachelor's degree in Data Science, Data Engineering, Applied Mathematics, Computer Science or Engineering
Nice If You Have:
Experience with C#, C/C++, .NET, JavaScript, React, NodeJS, PHP, SQL/NoSQL or DrupalExperience developing statistical and simulation modelsExperience with one of the following, Reliability, Availability, Maintainability and Safety (RAMS) analysis, Statistical Process Control, Metrology, or Diagnostics Prognostics and Health Management (DPHM)Master's degree in Data Science, Data Engineering, Applied Mathematics, Computer Science or Engineering
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is 101,000 to 121,000.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Lead Data Scientist | Humana |
Description
The Experience Center is transforming Humana into a human-centered, tech-driven company. We are accomplishing this by developing experience-first healthcare software rapidly, flexibly and iteratively. We are a technology incubator for the company and are expanding our capabilities by integrating Data Engineering and Data Science into the balanced team model. The Data Scientist will work with software engineers, product designers, and product managers to identify, validate, and adopt new technologies, tools, and practices, and turn these into human-centered experiences.
The Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist work assignments involve moderately complex to complex
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Lead Nlp Data Scientist | Humana |
Description
Humana is seeking a Lead Data Scientist who has extensive experience with Natural Language Processing (NLP). The ideal candidate will have experience developing NLP models with transformer architecture and preferably have experience with Hugging Face. This is your opportunity to join our Fortune #40, Best Places to Work company and help us make a difference as we help our members achieve their best health!
Responsibilities
The Lead NLP Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Lead NLP Data Scientist works on problems of diverse scope and complexity ranging from moderate
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Lead Data Scientist Marketing | Humana |
Description
Humana is a Fortune 60 market leader in integrated healthcare whose dream is to help people achieve lifelong well-being. As a company focused on the health and well-being of the people we serve, Humana starts from within, and is committed to providing progressive benefits that advance the employment experience and vitality of the associate community. Through offerings anchored in a whole-person view of human well-being, Humana embraces a focus on stimulating positive individual and population changes while nurturing a sense of security, enabling people to live life fully and be their most productive.
Against that backdrop Humana is building a best-in-class Consumer Marketing organization to drive profitable membership growth
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Data Scientist | Humana |
Description
Humana’s Clinical Strategy and Analytics (CSA) Team is seeking a Data Scientist 2 (Remote).
Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Strategy & Analytics team identifies clinical saving opportunities and enables clinical solutions through an evidence-based approach using data science, clinical and business expertise, and rigorous study designs to improve health outcomes and lower costs for millions of senior lives. In this multi-disciplinary team, you’ll have the opportunity to work closely with decision-marking executives and clinicians to shape Humana’s enterprise clinical strategies and initiatives.
The Data Scientist 2 uses statistics, machine learning, business analysis, and technology to transform high
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Data Scientist | John Deere |
There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.
Primary Location: United States (US) - Illinois - Chicago Function: Data & Analytics (CA)Title: Data Scientist - REMOTE - 92481 Onsite/Remote:Remote Position
This position is eligible for remote work at the present time. The arrangement may be delayed for training or other job acclimation purposes and remains subject to change.
Visa sponsorship is NOT available for this position.
Your Responsibilities
As a Data Scientist within the Enterprise Aftermarket Data & Analytics Organization, you will execute data science projects which drive aftermarket growth and an improved customer experience over the lifetime. Applied techniques are expected to include statistical analysis, predictive modeling, forecasting, data visualization, and machine learning. More specifically, you will follow the Aftermarket Analytics Delivery Process to:
Collaborate with business and analytics stakeholders to investigate business needs, identify opportunities for analytics to provide value, and convert abstract concepts into data science solutionsQuery and manipulate complex datasets to prepare data for analysisDevelop data products such as statistical analyses, dashboards, and models which deliver actionable value to stakeholdersLead code review, validation, and design review activities to ensure and demonstrate high-quality outputParticipate in strategic roadmap planning and assist in defining project proposals and scopeCommunicate results at multiple levels of technical detail to various stakeholders
VISA Sponsorship is NOT Available for this position
What Skills You Need
2 or more years of experience with a statistical programming language (R, Python or similar) 2 or more years of experience of advanced SQL programming2 or more years of experience with a business intelligence visualization tool (e.g. Tableau) 2 or more years of experience working with data, database design, administration and performanceSkill in interpersonal communications and ability to communicate complex topics to non-technical audiences
What Makes You Stand Out
Experience using SparkExperience using DatabricksKnowledge of dealers, products, customers, markets, and companies in the heavy equipment industryAdvanced understanding of dealer channel aftermarket processes, digital solutions, and metrics MS degree
Education
Ideally you will have a degree or equivalent related work experience in the following:
BS degree or equivalent experience in a related career field
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:
Flexible work arrangementsHighly competitive base pay and performance bonusesSavings & Retirement benefits (401K and Defined Benefit Pension)Healthcare benefits with a generous company contribution in the Health Savings AccountAdoption assistanceEmployee Assistance ProgramsTuition assistanceFitness subsidies and on-site gyms at specific Deere locationsCharitable contribution matchEmployee Purchase Plan & numerous discount programs for personal use
Click Here to find out more about our Total Rewards Package.
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.
ACA Section 1557 Nondiscrimination Notice
The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.
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Senior Data Scientist | Pandadoc |
Your role as the Senior Data Scientist is to support stakeholders through data science techniques and building the solutions for the business’s key initiatives. In addition, you will synthesize and leverages the business’s dataset and data to enhance the business capabilities for overall goal achievement. You will be helping the business to continue its evolution into a data-driven culture and will apply and inspire the adoption of advanced data science across the business. You will report to the Data Science Manager and work closely with the Marketing, Sales, and Customer Success organizations.
In this role, you will:
Use data to make sense of complex buyer journeys. Analyze how customersnavigate our marketing websites and identify opportunities for improvementAnalyze company data to answer business questions, discover insights, preparesegmentation and describe patternsApply advanced statistical techniques and causal inference methods to design andanalyze web experimentations (i.e. A/B testing, quasi-experimentation, statisticaltests, Bayesian experimentation, etc.)Apply creative analytical problem-solving skills to a wide variety of sales/marketingquestions to deepen our understanding of campaign & funnel effectiveness,customer journeys, and go-to-market performanceAssist the business and management team in the decision making process usingdata analysisUnderstand business strategy and high-level roadmap and align analysis efforts toenable them with data insights and help achieve their strategic goalsCrafting, delivering and owning performance monitoring dashboards that guideunderstanding of how the business is performing today and where it may go next
About you:
5+ years hands-on experience in analytics working with large, complex, andmultifaceted data setsB.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, and/orEngineering SciencesComfortable managing multiple projects, competing priorities, and an evolvingroadmapExperience working with cleaning, manipulating, and visualizing dataExcellent communication and presentation skills and proven ability to translate datainto actionable insightsExcellent interpersonal skills, with a consistent record of working across all levels ofthe organisationTeam player who understands the collaborative nature of this work with the ability toinfluence at C-suite level in a cross-functional environmentExperience using the following software/tools: Relational Databases, including PostgresData pipeline and workflow management tools as AirflowAWS cloud services: RDS, RedshiftR or Python experience would be a plus but not required
It would be awesome if you had but not a must:
Experience in B2B; Advanced degree e.g. Masters;Experience with statistical inference and causal inference techniques.
Company Overview:
PandaDoc empowers more than 30,000 growing organisations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
Company Culture:
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
Check out our LinkedIn to learn more.
Benefits:
Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
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Data Science Analytics Leader Member Product | Netflix |
At Netflix, we are always on our way to bringing even more joy to members around the world. Within Product, we have a very high velocity in innovations in the core member experience and we never stop challenging ourselves and are constantly thinking about connecting with our members in new ways or even in new domains!
Member Product DSE is at the forefront of these innovations with a mission to relentlessly improve Netflix member interactions by surfacing insights, and identifying, incubating & enabling product innovations leveraging data, analytics, experimentation & modeling.
We are looking for a data science leader to join our group to lead a sub-team focusing on consumer algorithm innovations. You will support a team of talented data scientists, work closely with our engineering partners and product leaders, and co-drive algorithmic innovations that power our member product interactions.
What we are looking for:
You have a deep technical background in applied data science, spanning some or all of: Statistics, Experimentation, Machine Learning, Causal Methods, and Behavioral Analytics. You likely have a M.S. or Ph.D. in a quantitative field such as Mathematics, Computer Science, Statistics, Artificial Intelligence, Machine Learning, Physics, Operations Research, etc.You have experience and demonstrated success in leading and building high-caliber, data-focused teams with diverse technical strengths.You are impact-driven and demonstrated success influencing the business by establishing roadmaps and vision for new and existing areas. You are skilled at operating in a complex, cross-functional organization or company where collaboration and integration with other teams across multiple disciplines are essential to the success of your team.You have exceptional communication skills, especially when partnering with engineering & business stakeholders to drive impact and shape strategy.
Netflix culture
Netflix'sculture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Data Scientist | Smartcar |
Smartcar is on a mission to make it easy for everyone to use the apps and services they love with their car. We build developer-friendly APIs which makes it easy for businesses to integrate their products with vehicles of any brand using a single integration.
Founded in 2015, Smartcar has raised $36M from Andreessen Horowitz, New Enterprise Associates, and Energize Ventures. We are now the leading developer platform for mobility businesses across North America and Europe serving amazing customers including brands like British Petroleum (BP), Turo, NRG, and more.
Innovative mobility companies use our API platform to verify mileage, issue digital car keys, manage EV charging schedules, monitor fleets, and much more.
As Smartcar’s first Data Scientist you will build, track and maintain key performance metrics across engineering, product and marketing. Your valuable insights and research on Smartcar’s products and business will assist in our global expansion.
Feel free to check out what our interview process looks like.
All of our openings are remote within California, Texas, and New York. We’d love for you to join us!
Key Responsibilities
Be hands-on in improving Smartcar’s data quality, KPIs, and overall metrics in addition to creating and maintaining company dashboards
Work closely with cross-functional teams in Engineering, Marketing, Customer Success, and others across the company to advance Smartcar’s product and integrity
Identify the most impactful opportunities for product development based on user needs and recorded metrics — presenting these opportunities clearly to stakeholders
Partner closely with product, marketing, engineering, and sales to perform investigative research and provide actionable insights
Define the metrics and dashboards we use to measure the health and success of our products
Who You Are
3 - 8 years of demonstrated ability in a similar data scientist role
Proven track record as a Data Scientist calculating and aggregating data into dashboards and defining metrics
Experience with analysis, including crafting success metrics, and presenting findings with clear product recommendations or implications
Hands-on experience synthesizing insights from data into dashboards using tools such as SQL, Postgres, Redis, Excel/Sheets, Python
Experience in BI Tools: (Looker, Tableau, DOMO, etc.); Metabase experience is a plus
Strong interpersonal skills: ability to build strong relationships with colleagues as well as the ability to explain sophisticated topics in straightforward terms
Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field is a plus
Manager
Sanketh Katta, Co-Founder & CTO & COO
Compensation and Benefits Package
Base salary determined by years of experience: $135,000 - $165,000
Equity
Remote work within CA, TX, or NY
Health, Dental and Vision covered at 90% for all plans and 80% coverage for dependents, which amounts to approximately $11,000 a year
401K matching at 4%
Unlimited PTO
Wellness stipend of $50 a month
Cell phone and Internet stipend of $50 a month
$300 yearly learning and development stipend
$350 work-from-home stipend
8 weeks of 100% paid parental leave with a 1-week half day ramp back time and a 5 week Freshly subscription
10 days of paid bereavement leave
Sponsorship
We do not currently support any new sponsorship opportunities or sponsorship transfers for this role
Recruiter For This Role
Steven Stone
Smartcar is an equal opportunity employer and values 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.
If you have a disability or special need that requires accommodation, please do not hesitate to reach out, in confidence, to [email protected] with how we can help make your interview process as comfortable as possible and how we can provide reasonable accommodations.
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Data Scientist Forecasting Analytics | Gusto |
About Gusto
Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 200,000 businesses nationwide.
Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.
The Role:
Gusto is looking for a Data Scientist in our Revenue Operations analytics team. You will work cross-functionally with Data Science, Marketing and Sales to develop forecasts, and provide best-in-class revenue-impacting techniques that power the F&A activities.
It is expected that advanced methods, such as AI/ML, should form the core of our technological approach on par with industry-leading RevOps tools and platforms.
You will help build and develop ML/AI models that could enhance the Integrated RevOps Forecasting pipeline and provide next-best action recommendations capable of scaling to personalized lifecycle interventions. The role is to own and build these products with the support of immediate team members to build data models and assist in business-related requirements gathering etc, whilst working in cross-functional partnerships (e.g. with MarOps, SalesOps, marketing, DS) to deliver revenue-impacting results.
You will also have sufficient acumen to know how to implement the various checks and balances to ensure the highest quality of forecast data, including fallback methods for when data sources drift.
Compensation: Our cash compensation amount for this role is targeted at $134,000 - $153,000/year in Denver & most remote locations, and $162,000 - $177,500/year for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Here’s what you’ll do day-to-day:
Develop statistical and machine learning models on large and noisy datasets to build robust revenue forecasting methodologies and provide diagnostic insights into the causes of data trends and anomalies.
Support RevOps analytics activities by conducting statistical analysis and hypothesis testings leveraging multiple data sources
Apply latest advances in causal inference (particularly on time series data) to provide ad-hoc causal analysis of interventions and next-best actions frameworks.
Work closely with data scientists to evaluate and implement a range of supporting models, such as LTV predictions, Propensity Models, causal analysis, etc.
Adopt best practices to develop, implement, and manage models and algorithms that scale our forecasting operations
Collaborate with data platform engineers to productize models and algorithms as appropriate, and monitor model performance in the field
Here’s what we're looking for:
Bachelor's Degree in Statistics, Engineering, Applied Mathematics, Computer Science, or a related field. Master’s preferred.
2/3+ years experience applying advanced statistical and data science techniques
Have a background in statistics and understand different distributions and the conditions under which they're valid.
Possess a strong fundamental understanding of machine learning algorithms (e.g. regressions, decision trees, k-means clustering, neural networks)
Significant experience working with time series data is preferred. Prior experience with Python-based libraries for time series, such as Prophet, and deep learning architectures like 1D Convolutional Neural Networks will be a plus!
Experience applying causal inference techniques.
Understanding of frequentist and Bayesian statistics.
Proficient in scientific Python (NumPy, SciPy, scikit-learn, Pandas), SQL, and version control (GitHub).
Demonstrable experience in full stack data science, including developing and deploying machine learning models in a production environment (Airflow preferred).
Ability to formulate hypotheses, draw conclusions and deliver results
Excellent verbal and written communication skills
Ability to present findings to stakeholders and communicate results to technical and non-technical audiences.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home with us.
Our company is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Our company considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
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Data Scientist | Grow Therapy |
Role Overview:
Since founding, Grow has been gathering rich data throughout its systems. We are looking for a scrappy and motivated data scientist to derive insights from this data that power high-impact decisions across a variety of functions (product, growth, billing, operations, and more). The company is growing rapidly and offers many opportunities to leverage data skills to make an impact.
The ideal candidate is passionate about mental healthcare and is comfortable working in a fast-paced startup environment. You will define metrics and KPIs, build dashboards, conduct deep dives, build ETL pipelines and data models, and communicate your findings to stakeholders across the entire organization using the latest data tools (we use Snowflake, DBT, and Looker here). The ideal candidate is ruthlessly pragmatic and can identify the highest points of leverage to drive value for the organization.
Requirements:
Mission-driven and passionate about improving accessibility to quality mental healthcare
3+ years of relevant work experience
You’re a SQL ninja, bonus points if you’re comfortable working in Python
Comfortable with statistics and basic modeling
Critical thinking skills and the ability to distill complexity into impactful insights
Excellent communication skills; comfort sharing insights with different audiences (non-technical users, C-suite, engineers, PMs, etc. )
Excited about being a decision-maker, driving recommendations, and working in a rapidly growing startup environment
Bonus: startup experience, master’s degree in a quantitative field
The salary range for this position is 137 - 154K per year.
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Senior Manager Data Science | Atb Financial |
Our bottom line is different.There’s something special about working at ATB, and it’s been recognized on every top employer list that matters. Maybe it’s our exceptional culture where your total wellness is supported through market-leading benefits and you’re free to bring your whole self to work. Maybe it’s our commitment to a growth mindset and our unrelenting thirst for making it possible for fellow Albertans—even the ones who aren’t our clients. Whatever it is, you won’t find a more genuine, driven and knowledgeable group of humans anywhere. We foster a culture of purpose, performance and possibilities. We engage with intense curiosity, and bring our whole selves to work, every day. We know it starts with people like you, so take a chance and start with us.Department: Everyday Financial Services, Client CareJob Number: 5150Location: This is a fully remote opportunity. Apply by: November 13, 2022Paygrade: M-OTH# Positions available: 1Leader Name: Giovane Cesar da Silva, Director of Data Science, Client Care Insights & AnalyticsAs ATB’s next Data Scientist - Sr. Manager in our Client Care Insights & Analytics team, you will manage, mentor, and support a team with the responsibility of synthesizing complex data using advanced analytics, data visualizations, and dashboards to evaluate and share progress and results of a given product, project, or program. Also, you will interact with Sr. leaders within the company to help inform and educate about data science practices, methods, and results alongside identifying opportunities where the organization can improve their efficiency. You will turn data into information, information into insight and insight into business decisions.Other responsibilities include: Research and evaluate tools, algorithms, and methods that can be leveraged by the team Working with a wide range of data/functions Establish close relationships with key stakeholders Organize projects and work efforts of the team Represent the Client Care - Insight and Analytics team in conferences, to vendors, to partners, etc. Management experience: 2 years of management experience of data science teams Clear understanding of the responsibilities of being a leader Data and Analytics Descriptive, Prescriptive, and Predictive analytics Data Cleansing, Data Curation, Data Harmonizing & Packaging Understanding User Requirements Business Fundamentals Business Analysis Business Problem Solving Client Centricity and Value Creation Metrics Reporting Interpersonal skills and Leadership Continuous Learning Mindset Critical Thinking & Problem Solving Storytelling Communication At ATB, we know that as you develop in your career, you gain many transferable skills. If you believe your experience and qualities are what we are looking for, please consider applying! Interested? If you know one of our team members, BEFORE applying, reach out to them and ask them for a referral link to help your application stand out.Online applications are preferred. Please let us know if you require any accommodations.Be great. Be you. Believe.We are dedicated to building a workforce reflective of the diversity within our communities and creating an environment where every team member has what they need to reach their potential. We encourage candidates from all equity-seeking groups to apply.What happens next?Thank you for applying online. If you are shortlisted for this opportunity, you will hear from us after the posting close date regarding next steps. We might ask you to participate in a digital interview or phone interview. If you require any accommodations, please let us know.Stay in touch! ATB is excited to know you’re interested in a career with us! Follow us on LinkedIn, Facebook and Instagram to get the inside scoop on what our team is up to.
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Senior Manager Of Data Science And Business Analytics | Yay Lunch |
About Yay Lunch:
We are Yay Lunch, a new business concept with the mission to provide healthy food for kids away from home, beginning with school lunches. Our mission is simple: deliver delicious, healthy lunches made by local vendors to kids at school in an easy, reliable, cost-effective way for parents. How do we do it? We curate menus with local vendors in each market, families order online, and we deliver fresh lunches daily to kids at school. Easy!
Since launching a pilot in the 2017 / 18 school year, we have expanded rapidly. We have aggressive growth plans backed by experienced venture capital partners, and we are excited about our prospects!
We’re a startup which means we are agile, outgoing, quick on our feet, and eternally positive. Our business is exploding into new cities up and down the east coast, which means we’re also pretty excited!
To enable this work, we are hiring a passionate problem-solver who will help take our analytics platform to the next level. Do you have great ideas and the enthusiasm to build them? Join our team! Together, we will brainstorm, collaborate, design and deliver solutions that get great kids great food, right when they need it most.
About the team:
We take our work seriously, while recognizing that work is just one part of being a real human. We rise and fall as a team.
If you have strong skills, seriously enjoy a variety of work both tactical and strategic and don’t mind getting your hands dirty, can both teach and learn from others, and can own both your successes and your mistakes, this may be a good spot for you. We have a “no stupid questions” policy and encourage egoless collaboration.
In this role, we would expect there to be minimal travel, but expect to get your chance to periodically ride along with a driver, visit a food vendor, and help to deliver to a school near you to stay in close contact with how our business works.
We firmly believe that talent comes in a great variety of forms from a wide variety of backgrounds, experiences, perspectives, and lifestyles.
About the Role:
The Senior Manager of Data Science and Business Analytics will play an integral part in positioning Yay Lunch for continued success in the future. In this role, you will be responsible for building, owning and evolving the overall analytical reporting team and environments for the Yay Lunch business. You’ll help drive actionable insights for the executive team that provide not only transparency into existing business performance, but that also help to model our possible futures, and you’ll help lead the creation of a robust and scalable analytics platform.
This is both a hands-on role as well as a leadership one: expect to be involved at all levels of projects.
The ideal candidate will be able to thrive in ambiguity, own and execute multiple concurrent deliverables (both hands-on as an individual contributor and by mentoring and guiding the team) while working effectively with executive leaders and stakeholders across the company. You’ll ensure all stakeholder reporting needs are met in a repeatable and scalable way, while planning, delivering, and evolving our data management and reporting environment to meet the needs of our rapidly growing business and driving actionable insights that make a real impact on our business.While a remote role, we will be hiring a candidate in one of our existing markets: Atlanta, Baltimore, Philadelphia, DC metro areas or Virginia, Maryland or New Jersey.
Key objectives:
Partner with executive leadership and business stakeholders to develop analytics and standardized reports to support business performance reviews and to answer key business questions with a focus on scalable, actionable insightsOwn the overall design and support of the analytical reporting ecosystem, including collaborating with engineering and functional business leads on data acquisition, data management, technical architecture, data warehousing and report delivery solutions. Evaluate existing tools and maximize their use and/or identify new solutions appropriate for a scrappy, budget-conscious startupHelp create predictive models that influence future business success, Personally drive top level business analytics that deliver transparency into how we are performing against our plans. Develop self-service reporting capabilities for the business stakeholders and mentor local teams in their useHelp guide the executive team in establishing, implementing and maintaining data governance practices & policies, and develop reporting to drive alignmentHelp shape future technology work to both deliver data needed for future analysis, and to leverage the right data and algorithms for future automation and A/B testing Manage team priorities across multiple stakeholders, workflows for incoming requests, and staffing
Minimum Qualifications:
5-7 years of data science, business intelligence, business data governance, and/or analytics experience, with some experience in fast-moving start-up environments and some in larger companies. Consulting experience is welcome. Experience creating and leading a data science/business intelligence function. Experience and comfort generating actionable insights from complex datasets, and the creation and management of large scale data modeling. Experience creating predictive models of success based on past business performanceComfortable presenting both high level and detailed concepts to a broad variety of audiences, including executive leadershipStrong experience with SQL, R, Python, and other data languages, cloud warehouses, data transformationHands-on experience with reporting tools (Snowflake, Mode, Looker, Tableau, PowerBI, Github, dbt.) and Google Analytics.Strong project and program management skills.Experience coaching, mentoring, and directing a team of direct reportsA strong sense of personal humility.Flexibility, curiosity, adaptability. Comfort with ambiguity and with creating tools and processes to build a path to success for the department. Readiness for change. Ability to be effective in an organization whose staff all work remotelyBachelor's degree in a relevant field and/or equivalent experiencePreference will be given to candidates in or near an existing Yay Lunch Market location.
We provide:
Salary range $75,000 - $100,000 depending on experienceBonus + company optionsMedical, vision, dental and life insurance401K, up to 3.5% employer matchFlexible paid time off (unlimited time off program)Technology allowance, data stipend, home office allowanceRemote, flexible, and family-friendly environmentSignificant support structures, on-the-ground training, & coaching from central team members
Yay Lunch requires all team members, including new hires, to report their COVID-19 vaccination status
#ZR
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Applied Scientist Intern Valuation | Zillow |
About the team
The Valuation team is focused on all things related to real-estate valuation. The home valuation problem is an unsolved, complicated, impactful spatio-temporal modeling challenge. We strive to empower consumers to make their best housing-related decisions by using pioneering ML techniques to present accurate and explained estimates of home valuations and related metrics. If we cannot find an existing model to fit our needs, we will invent one. The work we do is at the core of Zillow’s mission to empower the consumer and provide them with the tools to make informed decisions.
The Valuation team is behind the Zestimate and Zillow Prize, our million dollar competition to crowd-source ideas that push automated home valuation models further. We recently released our latest model -- Neural Zestimate -- based on our findings from Zillow Prize, and we have many exciting avenues to explore in this direction. Learn more at www.zillow.com/ai-ml.
About the role
Zillow is looking for an Applied Scientist Intern to join the Valuation team. This opportunity involves working with the most sought-out content on the Zillow site including the Zestimate, Rent Zestimate, and related products. These products are essential to the company’s mission to create the largest, most-trusted, and vibrant home-related market in the world. Additionally, valuation-derived data and tools are foundational to new products and the company’s growth plans.
As an Applied Scientist Intern on the Valuation Team, you will have the opportunity to:
Efficiently collect and wrangle data in complex formats from diverse sources to derive new insights around home valuationDevelop and implement experiments with a focus on improving business-specific metricsWork closely with other applied scientists, engineers and product managers to implement end-to-end ML solutions.Communicate models, analyses and findings clearly to technical and non-technical audiences
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $94,000.00 - $140,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
In the process of completing a Master’s or PhD in Applied Mathematics, Statistics, Computer Science, Machine Learning, Data Science, Economics, Real Estate or a related field with an anticipated graduation date between December 2023 - July 2024Inclined to approach problems through a statistical perspective and with the ability to reason about uncertainty and data distributions. You let the problem define your choice of models, tools and approach to experimentation.Deep knowledge of at least one popular programming language (Python preferred) and suite of associated machine learning tools. e.g. Python and packages such as Numpy, Pandas, PyTorch, Scikit-learn, SciPy, and/or TensorFlowPassionate about learning new business domains, solving problems and presenting to and communicating with non-technical audiencesAny experience with the above within a real estate context is a plus
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. 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 you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Applied Scientist Intern Rentals Analytics | Zillow |
About the team
Zillow has streamlined the way people search, tour, apply and pay rent for leased properties. Zillow’s rental listings offer our customers all property types, from large-scale multifamily communities, to unique, single family homes. Our team of data specialists focuses on helping our valued partners showcase their properties with impactful end-to-end solutions and consumers discover their next home.
About the role
We are seeking an inquisitive Applied Scientist intern who will help us develop creative solutions to the broad business problems we are solving. Our team is at the forefront of solving everyday problems faced by a wide variety of renters and landlords. With your help, we hope to build methods that allow us to better identify and serve our consumers and their unique needs.
As an intern on you will get to:
Collaborate with Data Scientists, Machine Learning Engineers and Data Engineers to analyze terabytes of data to improve our understanding of how users use Zillow.Efficiently collect and wrangle data in sophisticated formats from diverse sources to derive new insightsBuild interpretable models to predict and explain effects of the real estate market on our Rentals BusinessInteract directly with partners to understand problems first-hand
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $94,000.00 - $140,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
In the process of completing a Master’s or PhD in Applied Mathematics, Statistics, Computer Science, Machine Learning, Data Science, Economics, Real Estate or a related fieldInterested in working on innovative solutions to problems in the private real estate space Proficiency in statistics, applied models and forecastingProficient in scientific programming, including data manipulation, modeling, and visualization; Python and SQL strongly preferred.Ability to conduct independent research and apply research methods to real-world problems.Ability to clearly communicate and present results to both technical and non technical audiences.
Transferable Skills
Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. 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 you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Senior Applied Scientist Experimentation | Zillow |
About the team
Zillow's Experimentation Platform (ZEXP) team strives to enable and accelerate innovation across Zillow Group by empowering any person, no matter their role, to drive impact through innovation and learning with trustworthy, self-service experimentation. We are a team of data, machine learning, and experimentation specialized engineers and applied scientists building an experimentation analysis platform, and driving growth in Zillow's data driven culture. We are members of the Personalization and Experimentation team, within the Data, Analytics & AI (DA&AI) organization.
About the role
ZEXP is hiring a Senior Applied Scientist to help us advance our mission to help our product and marketing teams run experiments faster, with improving methods, with more quality controls, and at a lower cost, to generate more impact and innovation.
In this role, you will research, prototype, and implement statistical and machine learning methods to improve the velocity and quality of experimentation at Zillow. We're building a world class experimentation platform to support our experimentation culture and power innovation in our Housing Super-App. We need you to invent and implement innovative capabilities to our analysis capability.
Together we'll enable scientists across Zillow to iterate, test, and quickly ship improvements to production for automation.
As an Applied Scientist, you are a roll-up-the-sleeves and get-it-done researcher and engineer with a deep understanding of experimentation, causal inference, statistics or applied econometrics.
Requirements
Proficiency with a high-level programming language (we most commonly use Python and PySpark)Practical knowledge of statistics (for example, causal inference, Frequentist or Bayesian inference)The communication skills to influence, collaborate with, and educate others (whom you may need to educate on methods and requirements in experimentation and statistics).Experience prototyping, developing, and implementing algorithmic solutions and new technologies with billions of rows of daily data.The tenacity to embrace and tackle challenging problems
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $154,000.00 - $246,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
Preferred
Experience with the application of online or field experimentation.A Ph.D. in Statistics, Economics, Causal Inference, Computer Science or Engineering, Machine Learning, or related field or years of equivalent industry experience and/or publication
Transferable Skills
Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply and share transferable skills or related experiences.
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. 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 you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
See what information we collect about you.
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Applied Scientist | Zillow |
About the team
Are you interested in innovating new computer vision and deep learning technologies to power immersive experiences that change how people experience and envision their next home? Zillow’s Rich Media Experiences (RMX) team employs computer vision, 3D, and deep learning to invent the technology that enables Zillow's customers to make sense of home information in order to find their dream home. Using groundbreaking technologies, our team works across product, research, engineering, and business to enable people to virtually walk through a home. You'll have the chance to be a part of empowering the next-generation of home shopping by creating new state-of-the-art technologies that deliver unrivaled information and visual experiences to our customers.
About the role
The RMX Team is looking for an Applied Scientist to help us advance Zillow's mission by developing outstanding and highly engaging user experiences. This is a new space, and the team wants to add a curious and intuitive scientist to help advance this initiative. The team is staffed with researchers, engineers, and designers building spatial understanding algorithms and deep learning models that power immersive media experiences for buyers and renters. As an Applied Scientist, you will work to improve the efficiency and effectiveness of our team’s technical and research work and position them to thrive. You will be encouraged to think outside the box and challenge established assumptions and expectations, not by building on what we already have, but coming up with new ideas that spark innovation and creativity. Our solutions will ingest large volumes of data (imagery and metadata), and process it to build the exciting and immersive experiences that can be explored on zillow.com.
For more context from our Distinguished Scientist, explore this link:https://www.youtube.com/watch?v=RMD_-wpQh8A
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $130,100.00 - $207,900.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
As an Applied Scientist, you are a roll-up-the-sleeves and get-it-done researcher in machine learning with an understanding of computer vision fundamentals. This is a new space, and we are looking for someone who has:
A Ph.D. in Computer Science or Engineering, Machine Learning, Computer Vision, or related domainSolid background in computer vision research, building models & algorithmsUnderstanding of 2D/3D geometry and experience framing geometrical problems within modern differentiable frameworks like PyTorch and TensorflowProficiency with a high-level programming language (Python is preferred)Experience training machine learning models in frameworks like Tensorflow and PyTorchGood publication record and an excitement to walk us through what they’ve learned! Practical knowledge of deep learning (academic coursework is acceptable)The communication skills to work collaboratively with other scientists and engineers to prototype, develop, and implement new technologiesThe tenacity to embrace and solve challenging problems
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. 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 you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
See what information we collect about you.
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Principal Data Scientist Strategic Operations | Zillow |
About the team
The Strategic Operations Team collaborates with our most senior leaders to determine what we should be doing as a company (Strategy), ensure we are successfully accomplishing what we said we would do and carrying out course corrections (Business Operations and Strategic Analytics).
About the role
As a Principal Data Scientist on the team, you will derive data driven insights to support the highest levels of strategy questions at Zillow. You will be partnering with our Strategy, Business Operations, Corporate Development, and Investor Relations teams to understand business questions and creatively solve complex business problems with analytic solutions. You will be navigating large and messy datasets, selecting and applying the right technical methodologies, and collaborating with Data Science, Econ, and Insights teams to complete the analysis. You will proactively and strategically use data to identify “big picture” opportunities for the company, and share your insights to influence product and business leaders across the company.
This is an opportunity to maximize your curiosity, strategic mind, analytical skills, relationship building and presentation strengths to have a significant impact with a high level of exposure across the company. This is a high visibility team and role, with broad exposure to every part of our business and the ‘big picture’ of Zillow and exposure to key leaders across the whole company.
You Will Get To
Influence key leaders in the business, product and data analytics using data driven insightsDrive recommendations on big picture company strategyPartner closely with leadership to model, analyze, and visualize business relevant metrics that inform both short- and long-term decision-makingConduct high priority ad hoc analysis to surface opportunities for Zillow’s strategy and businessWork closely with Business Operations, FP&A, Strategy, Corporate Development, and leaders in product and the business and our executive team
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $142,500.00 - $227,600.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
Strong business insight and ability to break down business questions into analysis and insights needed to support recommendationsAbility to jump in and conduct exploratory analysis and modeling; transform and distill combine complex and messy data into clear visualizations and useful insights using appropriate methodologyAn expert in SQL, Excel, and either Tableau, Mode, or other visualization softwarePractical knowledge of statisticsDemonstrated proficiency in cross-functional collaboration with business, data analytics, engineering and product leaders to drive decision makingAbility to deliver insights around business problems in a thoughtful and persuasive manner to senior leadershipStrong project management skills with the ability to prioritizeHighly adaptable, and able to thrive in ambiguous or uncertain environments
Qualifications
8+ years of experience in a combination of strategy, analytics, and advanced modelingExperienced delivering insights using large datasets and data visualization tools
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. 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 you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
See what information we collect about you.
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Principal Data Scientist Gtm Data | Hubspot |
Principal Data Scientist, GTM Data
Revenue Operations
Remote - USA
We’re seeking an experienced data scientist to join HubSpot’s Revenue Operations Group. This role will focus on supporting internal clients to improve the effectiveness of HubSpot’s revenue operations teams as well as improve the employee experience. Successful candidates will need to work with clients to deeply understand their business problems, creatively design data science based solutions and lead the timely execution of the implementation of the chosen plan. We are especially interested in candidates with domain experience in natural language processing techniques. We believe that this position will be rewarding as there are significant opportunities to expand HubSpot’s internal capabilities and work on greenfield initiatives. You will also be joining a strong and supportive team of data scientists and analytics engineers that highly value intellectual curiosity. Also, HubSpot was voted one of the 100 best companies to work for in 2021 and 2022.
Objectives of this Role
Build strong relationships with internal stakeholders and develop a deep understanding of their business problems.
Identify and mature data sources that will further data science and business analytics at HubSpot
Design and build machine learning and statistical models that improve the performance of HubSpot’s revenue operations group
Use data to inform key business decisions and communicate findings effectively with senior leadership
Keep current with technical and industry developments
Role Responsibilities and Duties
Query, organize, integrate and clean data from multiple sources including both structured and unstructured data.
Expert knowledge on a breadth of machine learning techniques and a thorough understanding of the best approach to use for a given situation.
Leading data science initiatives throughout the entire model life cycle to improve the performance of the revenue operations group in partnership with internal stakeholders
Mature the data science practice at HubSpot by improving the breadth and depth of internal feature stores and mentoring junior analysts
Execute analytical experiments methodically to rigorously test potential solutions and strategies
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Skills and Qualifications
Degree in statistics, applied mathematics, economics, computer science or other quantitative discipline
5+ years experience in data science with multiple models deployed in an operational setting.
Expert level knowledge in SQL and python programming
Proficient using version controls systems (git/github)
Ability to effectively communicate data science concepts and results to non-technical audiences.
Ability to use data to persuasively present to senior management to inform strategic decision making.
Preferred Qualifications
Master’s degree in a quantitative discipline
2+ years of experience leading data science initiatives
Experience using a deep learning python framework (tensorflow, pytorch, etc)
Experience building natural language processing models
Cash compensation range: 197000-242000 USD Annually
This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy from Katie Burke, HubSpot’s Chief People Officer.
The cash compensation above includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, all HubSpotters are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
We know that benefits are also an important piece of your total compensation package. To learn more about what’s included in total compensation, check out some of thebenefits and perks HubSpot offers to help employees grow better.
At HubSpot, fair compensation practices isn’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
If you need assistance or an accommodation due to a disability, please email us at [email protected]. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.
Important COVID-19 Guidance (For candidates applying to roles in the United States):
Per HubSpot’s policy all employees who wish to work @office or @flex or to visit an office in-person must be fully-vaccinated. At this time, @remote employees are not required to be vaccinated.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
About HubSpot
HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.
You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.
Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot.
By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information.
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Data Scientist | Jun Group |
Do you hate advertising? We do too. Our view is that the advertising business is broken and needs to change, and we are a big part of the answer. Jun Group means truth, and our culture is about openness, honesty and innovation. We work with the largest brands in the world to run advertisements that are 100% opt-in, putting consumers in control and turning the industry on its head.
We are looking for a Data Scientist to join our machine learning and data science team. This position is full-time and 100% remote with the option of working on-site once it is safe to do so. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States.
Who you are
You enjoy collaboration with other teams including product, strategy, and machine learning engineers
You love solving complex problems and can present sophisticated ideas and data analysis in a way that’s easy to understand
You are a pro at uncovering consumer behavior and campaign performance trends and insights-based strategy through quantitative research methods
You have a strong ability to think creatively with data, formulate and get traction around new ideas, and bring a different point of view to business and engineering partners
You’re naturally curious and always find a way to contribute
You’re detail-oriented and enjoy analysis and problem-solving
What you’ll do
Work with product and data engineering stakeholders to identify key metrics and opportunities for improving business processes and drive product strategy
Take on projects end-to-end from business question all the way to production
Enhance data collection procedures to include information that is relevant for building analytical systems and predictive models
Design and conduct surveys for market research, audience insights, and machine learning modeling
Evaluate surveys, methods, and performance to improve future surveys and remove sampling bias
Process, cleanse, and verify the integrity of data used for analysis and modeling
Apply quantitative methods including but not limited to descriptive analysis univariate and multivariate tests, statistical modeling etc. to find opportunities to optimize ad campaign performance and audience engagement
Support the machine learning team in designing machine learning algorithms
Create data visualizations, reports, dashboards, and data audits
Doing ad-hoc analysis and presenting results in a clear manner
Qualifications
Advanced quantitative degree in Data Science, Statistics, Psychology, Mathematics, or related field or relevant combination of education or professional experience
3+ years of relevant professional experience
Practical knowledge of research methods, survey methodology, probability, and statistical modeling
You're comfortable writing SQL and manipulating large, real world datasets in a data warehouse like BigQuery, Redshift, Snowflake, etc.
You’re comfortable working with Python and using popular machine learning tools like Tensorflow, Keras, PyTorch, etc.
Understanding of deep learning as well as traditional machine learning algorithms
Experience with data visualization tools like Datastudio, Looker, Tableau, etc
Excellent communication and writing skills, in particular, the ability to communicate technical content to a non-technical audience
What we offer
A highly competitive compensation package
401k with company match
Paid vacation, work from home, and sick days
Designated time to work on company-related projects you feel strongly about
Macbook Pros and any other equipment you need to work effectively from home
NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office two days per week.
Salary Range: $80,000 - $110,000 + incentive pay
Learn what our engineering team likes about Jun Group here.
Jun Group is a high-powered, collaborative environment. We are looking for candidates who work well in teams, enjoy learning, and challenge the status quo. We work hard, and we have lives, too. We pay competitively based on experience, and we’re open to allowing the right person to learn our industry on the job.
We have excellent perks and benefits, and we welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.
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Data Scientist V Marketplaces Personalization | Id Me |
Role Overview
ID.me is looking for a Data Scientist V with a background in personalization to join our Marketplaces team. In this role, you will lead building our next-generation recommendation models driving unique and personalized member experience across all ID.me products and services. You will work closely with cross functional teams, including product, data, operations and senior leadership to develop and drive world class personalization products for ID.me members. If you are data-driven, results-oriented, and eager to help solve data problems of varying complexities, then this would be the perfect opportunity for you.
Responsibilities
Partner with leadership and stakeholders to develop personalization products for ID.me members
Design experiments, test hypotheses, and build data models
Work with data team to identify and analyze patterns
Recommend and test new analytics algorithms and models
Educate the organization on new analytical approaches to drive business decisions
Provide technical guidance, mentorship, coaching and/or training to junior Data Scientist
Qualifications
The qualifications below are ideal, but not all are required. We encourage candidates to apply if they satisfy some, but not all of the qualifications.
8+ years of hands-on experience in data science for a SaaS company or a mature startup
BS/MS in Data Science or a related quantitative or scientific field
Experience with SQL & the Python ML ecosystem - pandas, numpy, sklearn, etc.
Experience with Recommendation algorithms & one or more deep learning libraries
Experience ingesting, processing, and visualizing data sources of varying types - structured/relational and unstructured
Experience in developing, managing, and manipulating large, complex datasets
Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities
Ability to work independently and autonomously, as well as part of a team
Superb time management, prioritization of tasks and ability to meet deadlines with little supervision
Ideal candidate will thrive in the following culture:
Must have an obsession for building quality products
Ability to thrive when there are changing priorities and shifting of gears
Strong oral and written communication skills
Must be a team player with a strong, self-managing work ethic
Must be a self-starter with a passion for software engineering, learning and continuous improvement
Note that candidates must be located in the continental U.S.
ID.me Covid Vaccination Requirement
All current and future employees are required to receive their COVID-19 vaccinations, unless a reasonable accommodation is approved. Employees not in compliance with this policy will be placed on leave and will be terminated if no valid reason for not getting the COVID-19 vaccine is provided.
Purpose: In accordance with ID.me's duty to provide and maintain a workplace that is free of known hazards, we are adopting this policy to safeguard the health of our employees and their families; our customers and visitors; and the community at large from COVID-19 that may be reduced by vaccinations. This policy will comply with all applicable laws and is based on guidance from the Centers for Disease Control and Prevention and local health authorities, as applicable.
Reasonable Accommodation: Current and future employees in need of an exemption from this policy due to a medical reason, or because of a sincerely held religious belief must submit a completed Request for Accommodation form to the human resources department to begin the interactive accommodation process as soon as possible after vaccination deadlines have been announced (September 13th) and an offer of employment has been made. Accommodations will be granted where they do not cause ID.me undue hardship or pose a direct threat to the health and safety of others.
Vision: To be the world's leading digital identity network empowering people to control their own information and to prove their credentials across all channels: online, call center, and in-person.
Mission: To make the world a more trusted place by delivering the highest level of security with the least amount of friction at the lowest possible cost.
People: We have an audacious mission. We aim to fix the identity layer of the internet. Billions of people will live better lives with more trust and convenience thanks to ID.me. We are like Special Forces. We take on the most difficult challenges with amazing teammates.
ID.me Core Values: *Don't be a jerk. *Always compete. *Ask questions like a 5-year old. *Inspire people with your passion. *Make something better every day. *Treat each customer like your favorite family member. *Own your mistakes so you can learn from them. *Details are everything. *Communicate like a scientist. *Be truthful (even when it's hard). *Reflect ID.me's values in your actions. *Act like an owner.
ID.me Career Site & Culture Deck: https://www.id.me/careers
ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of 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. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.
Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.
ID.me participates in E-Verify.
#LI-AL1
#LI-REMOTE
#LI-RL1
#LI-REMOTE
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Data Scientist | The Kraft Heinz Company |
Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality- great-tasting- and nutritious foods- earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products- we're dedicated To Sustainably Grow by Delighting More Consumers Globally.
We are on a journey to create a digitally-powered- agile-enterprise. At the heart of this journey is our ambition to create an enterprise where powerful AI solutions augment humans and where small mission-based teams are in relentless pursuit to solve tangible problems for our consumers- customers- and the enterprise.
That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python- R- Spark- React- Tableau- Snowflake- Azure- and others to solve the problem on hand. In-turn- you can look forward to high-impact challenges- no bureaucracy- entrepreneurial small teams and an unique opportunity to create and build something bold- awesome- and impactful!
WHAT YOU’LL DO
As a Data Scientist you will be a core member of one of our nimble- cross-functional teams – disrupting from inside of a global powerhouse. You will help build our next generation of advanced analytics products using AI- Data Science- and Machine Learning. Examples of problems you will solve include helping R&D determine the next generation of household products- revolutionizing consumer engagement with personally relevant content- and reinventing our supply chain to eliminate food waste. Furthermore- you will:
Deliver systematic approaches and integrating work into products and tools with a trailblazing team of data engineers- analysts- developers- and sometimes chefs.Create repeatable- interpretable- dynamic- scalable models as the heart of new statistical products.Engineer new features by using your business acumen to improve analytical models.Collaborate to refine best practices and deploy best-in-class solutions.Evangelize the value of data-driven decision-making
WHO YOU ARE
You have a Bachelor’s in Data Science- Computer Science- Engineering- or Statistics with 5+ years of experience.You have expertise in Python and/or R and are eager to learn other languages.You are proficient in machine learning to deliver clustering- time series- classification- regression- anomaly detection- simulation- and optimization queries.You have an aptitude in Big Data technologies like Hadoop- Spark- or distributed databases like Redshift and Snowflake.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products- we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers- consumers- and communities around the world tomorrow. Here at Kraft Heinz- we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day- we are transforming our industry. We are creating the future of food- and we invite you to join us.
#DICE
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Staff Data Scientist | The Kraft Heinz Company |
Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, and nutritious foods, earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally.
Today, The Kraft Heinz Company is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food and beverage industry. We are on a journey to create a digitally-powered, agile-enterprise – all while honoring a 150-year heritage and a portfolio of 200 iconic brands. At the heart of this journey is our ambition to create an environment where powerful AI solutions augment humans and where small mission-based teams relentlessly pursue tangible solutions for our consumers, customers, and the enterprise.
That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve our business challenges. You can look forward to high-impact, no bureaucracy, entrepreneurial work – done in small teams – and a unique opportunity to create something bold, something awesome, something inventive -- and something globally impactful.
What you’ll do
As a ‘Staff Data Scientist’ you will be lead data science function all across-multiple functional teams – redefining from inside of a global powerhouse. You will help build our next generation of sophisticated analytics products using AI, Data Science, and Machine Learning. Examples of problems you will solve include helping R&D resolve next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:
Own the data science function across various agile podsWork with the data scientists on your team to develop, own, implement and deploy innovative machine learning algorithms and other predictive models which will service as a guiding light for change and improvement.Work with your data science team and own selection, enhancements and integration of exciting technologies (AI/ML, Automation, Optimization) focused on fundamentally redefining the way in which we operate.Work with the data scientists on your team to engineer end to end solutions and bring creativity and expertise to business challenges.Mentor other Data Scientists and Associate Data Scientists and drive technical standard processes.Serve as an integral member of your Agile pod as a leader or advisor through identifying and solving complex challenges.Evangelize the value of data-driven decision-making.Manage and lead the best data scientists in the CPG industryContinue your growth and serve as a leading guide in the Data Science community.
Who you are
You have a Bachelors in Data Science, Computer Science, Engineering, or Statistics with demonstrated ability. Advanced degree in Data Science or related field ideal.You have mastery in Python and/or R and other languages.You have expertise in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries.You have experience building owning full cycle end to end model deployment.You have confirmed expertise in Big Data technologies such as Apache Spark, Snowflake and/or Hadoop.You have validated expertise in cloud technology like Azure, AWS, Cloudera, GC.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers, consumers, and communities around the world tomorrow. Here at Kraft Heinz, we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry. We are creating the future of food, and we invite you to join us.
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R D Machine Learning Scientist | Eight Sleep |
Eight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation. Our mission is to make people’s sleep count for more, using innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for better.
Our mission is to fuel human potential through optimal sleep. In 2019, we launched our temperature-regulated smart bed, the Pod. It's an absolute game changer, improving people's health and happiness by changing the way they sleep. Eight Sleep has partnered with Barry’s as their Official Sleep Fitness Partner. We actively collaborate with Justin Medeiros, 2021 Crossfit Champion, and Red Gerard, U.S. Snowboarding Olympic Gold-Medalist, as well as the Mercedes Formula One team. Backed by leading Silicon Valley investors including Valor Equity Partners, Founders Fund, Khosla Ventures, and Y Combinator, we’ve raised over $150 million to date. We were recognized as one of Fast Company’s Most Innovative Companies in Consumer Electronics in 2019 and 2022.
That is why Eight Sleep is looking for an innovative ML Scientist to help us expand our product features. You will be responsible for designing next gen ML models and algorithms that will enable better sleep and better health for our members. To do so, you will work closely with a highly cross-functional R&D and production team.
We are seeking someone who is passionate about health technologies and about making an impact on health outcomes. We look for people who tackle problems with a system approach, and make data driven decisions to deliver the best products to our users.
How you'll contribute
Design next generation health sensing algorithms using cutting-edge ML techniquesWork with the R&D team to rapidly develop system concepts to prototypePerform data analysis, signal processing, data cleaning, and algorithm development to assess feasibility and to implement solutionWork with the software and product teams to ship solution into productionAdvance the field of ML algorithms for sleep health, and publish your work at top conferences journals
What you'll need to succeed
MS/PhD in Computer Science or Engineering with 5+ years of industry experience in the field of health sensing and health technologies.Excellent Python (e.g. SciPy, Pandas, Jupyter) programming and object-oriented design skills with experience working with commonly used ML/DNN frameworks - (Tensorflow, pyTorch, fastai).Strong experience designing, training, and evaluating neural network architectures with a good understanding of statistical techniques and concepts (signal separation, spectrograms, autocorrelation etc.).Experience working with time-series data from physiological signals. Knowledge of the underlying human physiology is a plus.Strong command of signal processing and general algorithm development techniques.
Why you’ll love Eight
We’re a tight-knit, passionate team that’s working to improve people’s lives by improving the way they sleepLeadership is committed to employees’ wellness and career developmentYou’ll get a better night sleep every night; all full-time employees receive the PodFlexible, generous PTO 100% employer contribution for medical/dental/vision insurance
At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. 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.
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Mid Level Data Scientist P C Insurance | Usaa |
Purpose of Job
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Experience with data definition and manipulation in SQL (e.g., Hive, Snowflake, etc.)Experience with time-series and geospatial feature engineeringExperience modeling with GLMs, decision trees, gradient boosted trees, and the Tweedie distributionExperience building, scripting, and evaluating models in a Python environmentExperience collaborating with a team coding project using GitKnowledge of the insurance industry and common metrics (coverages, exposures, pure premium, etc.)
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Mid Level Data Scientist Financial Services | Usaa |
Purpose of Job
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Experience with Python implementation of data science models.Financial Services industry experience.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Director Data Science | Dick S Sporting Goods |
The Director of Data Science plays a leadership role in technology and is responsible for the creation of new data science capabilities for the business by envisioning and executing strategies that will drive direct business value.
This role requires detailed understanding of the role that Data Science can play in the retail business. You will work along-side business, product and engineering leaders to identify the application and deliver of advanced analytic data modeling systems and machine learning to all areas of the business.
The ideal candidate will have a passion for connecting delivery to business value, a strong pedigree in retail application of data science and a knack for illustrating the art of possible when it comes to innovative application of AI & ML.
Strategy & Vision:
Set the mission and vision for the organization and connecting it to overarching business and technology strategies and outcomes.
Partner with Product & Architecture to plan, create and deliver business value through relevant application of Data Science and Machine Learning across all DSG capabilities.
Form and manage strategic partnerships both internal and external to support the business.
Responsible for departmental planning, organizational design and budget.
Set organizational KPI and measures, driving visibility and accountability
Coaching, Support & Enablement:
Plan, assign and supervise the work of others.
Provide oversight, guidance and direction in the career growth of teammates.
Fields questions from other product teams or support teams
Communicate the company’s technology strategy to stakeholders including investors, executives, and team members.
Advocate, evangelize and implement modern data science and engineering practices.
Lead and Grow a team of Data Science Managers and Data Scientists.
Delivery & Execution:
Direct the growth and application of Data Science across all lines of business at DSG.
Foster collaboration between local and abroad development teams to drive consistency across all departments.
Partner with product and business partners to understand the needs of the company and illustrate the art of possible in application of Data Science & Advanced Analytics
Collaborate with the executive team to help translate business requirements into technical needs and actions.
Lead workstreams that require cross-functional squads that include data scientists, data engineers, analysts, and product managers
Learning:
Work across the business to understand and assess development opportunities that align with our vision and deliver value to our customers
Manage vendor relationships with domestic and international suppliers while also holding them accountable to product requirements and quality specifications
Keep abreast of new technologies for the purpose of recommending changes in existing programs or new programs warranted by such developments
Participate in the initial production phases of product/process design and all subsequent inquiries and problems
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Data Scientist | Higher Ground Education |
At Higher Ground Education, we are radically reinventing education. We believe that for a student to live their life fully, we need an education model that fosters independence and develops competent, capable, action-oriented thinkers and change agents. To achieve this, we are using technology as an enabler for the timeless core principles of Montessori education. We are committed to making high-quality, modernized Montessori education available to all. To that end, we are looking for a capable engineer for the following role.
As a staff Data Scientist, you will be helping to drive innovation through many data-driven processes. You will be responsible for collecting, analyzing, and presenting data, including providing actionable intelligence gathered from multiple disparate data sets. The ideal candidate possesses the analytical aptitude and problem-solving skillset necessary for extracting value from a collection of novel data sets. This position requires the synthesis of new information to generate intelligence that allows us to drive innovations forward. The ideal candidate is willing to learn about new technologies and concepts and can effectively communicate their knowledge to others. This candidate will also aid in developing a data analysis pipeline that will lend itself to automation while utilizing engineering and statistical techniques. This position is full-time and remote.
Your Responsibilities:
Aggregate and analyze data from multiple sources to identify trends and patterns.
Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.
Development/programming of tools to improve pipeline efficiency, automate repetitive tasks, and implement new analysis tools/techniques.
Generate ideas and support building data tools to automate analysis processes.
Interpret data and analyze results using statistical and analytical techniques to provide ongoing reports and visualizations.
Design and prototype data analytics pipelines that effectively summarize data for identifying trends and correlations.
Gather data from primary or secondary data sources to identify and interpret trends
Apply problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable.
Basic Qualifications:
A bachelor's degree in a technical area with two years of hands-on professional experience.
Proficient in Microsoft Excel and PowerPoint.
Knowledge of techniques for gathering, cleansing, and transforming data
Experience with data science toolkits/languages such as Python/R, Scikit-learn, PyTorch/TensorFlow, Matplotlib, NumPy, C++, or Python.
Familiarity with data visualization tools like Tableau and PowerBI
Knowledge of best practices in data analysis
Excellent interpersonal and communication skills.
Experience documenting processes and maintaining data records.
Preferred Qualifications:
A master's degree in Data Science
Proficiency using query languages such as SQL
Applied statistics skills, such as distributions, statistical testing, and regression.
Experience with Agile development practices
We Offer:
A competitive salary
Health, dental, and vision insurance
Paid time off and paid holidays
100% tuition discount for two children at any school within our network
A network of supportive peers and mentors who regularly share best practices
Career growth and promotion opportunities
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Staff Data Scientist Search Inference | 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.
Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7 million accommodations and 40,000 handcrafted activities, all powered by local hosts. An economic empowerment engine, Airbnb has helped millions of hospitality entrepreneurs monetize their spaces and their passions while keeping the financial benefits of tourism in their own communities. With more than half a billion guest arrivals to date, and accessible in 62 languages across 220 countries and regions, Airbnb promotes people-to-people connection, community and trust around the world.
About the Team:
Airbnb is a global platform that connects travelers and hosts from over 81,000 cities. Our mission is to enable a world where anyone can belong anywhere. Using data to help ensure a world class experience for our users is critical to our mission.
We are looking for talented Data Scientists to join our Search & Personalization Data Science team. The team works on building a world class search experience for our guests, from the homepage, to search and listing pages, and checkout. You will join a team with 3 other data scientists, responsible for building the data products, inference frameworks, and intelligence to create a personalized search experience.
Responsibilities:
You will work centrally, with other data scientists, partnering cross-functionally across the search experience. Your initial focus areas in the team:
Developing a framework for evaluating the performance of supply categories in search and partnering with product, marketing, engineering and operations to create new categories.
Operationalizing a system to detect suboptimal user paths in the product leveraging user behavioral logs.
Developing a framework of conversion drivers, connecting input metrics to outputs, to inform strategies, decision-making, and track progress on team goals.
Providing technical mentorship to other data scientists, holding a high bar for data products architecture.
Minimum Qualifications:
5+ years of relevant industry experience
Expert in at least one programming language for data analysis (Python or R)
Experience with inference and machine learning techniques
Experience in high-dimensional data modeling
Proven ability to succeed in both collaborative and independent work environments
Passion for scaling data science work
Preferred Qualifications:
Experience working on a consumer search product or recommender systems
Experience with causal inference and structural models
Strong skills in SQL and distributed system optimization (e.g. Hadoop, Hive, Spark, Presto)
Experience with an ETL framework like Airflow
Python skills preferred
Experience with technical mentorship of other data scientists
Experience with prototyping and writing production code
Experience with system design
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.
Belonging & Accommodations
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: [email protected].
Apply now
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Senior Data Science Inference Payments | 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.
Airbnb has become a platform that connects travelers and hosts from over 81,000 cities around the globe. To power that community, Airbnb is building a world-class payments platform that currently supports over 190 countries, 70+ currencies, connects dozens of payment providers, and transmits billions of dollars per year.
Our goal? To empower people and communities to participate in our global marketplace and innovate on a future where payments on Airbnb can be completely trusted, transparent, and simple. As our platform grows, the payments team is building a scalable foundation to support global scale, helping the company grow by bringing new markets and demographics to the platform, protecting our community from bad actors, and enabling new business products to thrive by providing easy to use and trusted payment experience. Our data science team is working to provide statistical insights and intelligent data products that will enable us to scale our platform and empower our entrepreneurs all around the world.
About the Role:
We are looking for a passionate data scientist to identify and execute scalable ways to improve our platform’s payment experience and to bring a scientific approach to product decision making. This data scientist will perform careful hypothesis generation, causal inference testing, and model development that will drive payment strategies on our platform. Our Inference Data Scientists have deep understanding of causal framework development, statistical analysis/modeling, and the complications of running experiment/quasi-experimental methods in a two-sided marketplace. They also have keen business sense and are able to utilize their findings to inform and drive our product roadmap. Examples of projects you may work on include, development of novel metrics and framework to identify and remediate payment problems, quantification of the impact and informing the structure of new payment products, and building models to optimize guest, host, and business outcomes.
Responsibilities:
Define novel metrics and their relationships to measure business success.
Work with cross-functional partners to design and execute controlled experiment/quasi-experimental methods to quantify the effects of product changes.
Develop methodologies to explore and exploit growth opportunities and build data products to optimize product/operational strategies in the payments sphere.
Help our business partners understand metric trade-offs and influence business decisions.
Qualifications:
An ideal candidate should possess a good balance of statistical/technical skills, business acumen, and communication skills. A driven individual who’s keen to solve hard business problems is desired.
5+ years in industry experience and a Master's degree/PhD in a quantitative field
Skilled in statistical programming (Python or R) and database usage (SQL)
Deep knowledge of casual frameworks (including experimentation and quasi-experimental methods) and statistical modeling
Ability to solve business problems by identifying and 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
Payments/Risk domain expertise is a strong plus
The starting base pay for this role is between $152,000 and $202,500. 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.
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Airbnb,Inc. can employ in states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Belonging & Accommodations
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: [email protected].
Apply now
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Data Scientist Usa | Fullstack Labs |
FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We’re most proud of:
*Offering life-changing career opportunities to talented software professionals across the Americas.
*Building highly-skilled software development teams for hundreds of the world’s greatest companies.
*Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
*Our 4.7-star rating on GlassDoor.
*Our client Net Promoter Score of 64, twice the industry average.
*Sustained growth of 100% - 200% per year.
The Position:
We're looking to hire several mid-level and senior Data Scientists to join our team. You'll work with our incredible clients in one of two ways:
Team Augmentation / Staffing: You will integrate yourself directly into our client's team and work alongside their existing designers and engineers on a daily basis.
Design & Build: You will work on a FullStack Labs product team to build and deliver a product to our clients.
What We're Looking For:
As a Data Scientist, you'll be working in a team responsible for Reports and Analytics for the highly loaded system and helping the team to achieve extraordinary results to impact the product and deliver the best solution to the market.
3 years of experience in databases in SQL Server or Oracle and ETL development.
3 years of experience in OOP and/or Functional Programming fundamentals, Design principles.
Track record of anticipating technical problems that will fall out of major projects and designing solutions to overcome those problems.
Experience in working with RESTful APIs.
Experience in production support and troubleshooting.
Self-organized and responsible person with experience in a distributed team.
Good level of speaking and written English.
Nice to have:
Experience in Ruby.
Experience in AWS/Azure.
Experience with Azure Logic Apps, SQL Server, ETL.
JavaScript experience (React is preferred).
Experience with web tooling (Webpack, Jest, NPM, Babel, etc).
Bachelor’s Degree in Computer Science, a related field, or comparable work experience.
Benefits:
Competitive Salary.
Paid Time Off (vacation, sick leave, maternity and paternity leave, holidays).
100% remote work.
The ability to work with leading startups and Fortune 500 companies.
Health, dental, vision insurance.
401(k) w/ 4% match.
Virtual company events each month.
Ample opportunity for career advancement.
Continuing education opportunities.
FullStack Labs is proud to be an equal opportunity workplace. 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 you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form, which can be provided upon request during our hiring and interview process.
Learn more about our Applicants Privacy Notice.
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Director Of Data Science | 2U |
What We’re Looking For:
2U believes in the power of higher education to unlock human potential and help address society’s critical needs. With 45 million registered learners in 196 countries and a catalog of 4,000 digital programs offered by 230 partners (including 38 of top 50 universities in the world), our platform connects learners who want to learn with institutions who have best-in-class learning content. Our mission is to build the world’s best consumer centered higher education marketplace.
The Data Science team is uniquely positioned to help 2U achieve this mission:
A seat at the executive table: The Data Science team reports directly to the Chief Revenue Officer who leads Product, Marketing, and Data Science.
One-of-a-kind dataset: Our dataset spans the learner lifecycle (from discovering our learning products, through the applications process, student lifecycle, and graduation) across MOOCs, short courses, bootcamps, and degree programs for over 45 million learners.
Expansive and strategic remit: Data Science is chartered to relentlessly optimize 2U revenue operations by identifying and enabling product, marketing, and operational innovations through advanced analytics, experimentation and predictive modeling.
As a Director of Data Science: Growth, you will drive data science partnership with business leaders on the Marketing and Product teams tasked with making investment decisions to drive revenue growth and margin efficiency. You will have an opportunity to establish a roadmap and vision to drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning. We will rely on your leadership to expand our toolkit, enrich the strategic signal of our data, and lead a team that will use these core assets to have a big impact on the entire company’s productivity. This is a high-impact role for a self-starter in which you’ll have a direct influence on how marketing and product decisions are made. You will play a key role in spurring innovations to drive growth, engagement, and retention at a critical moment in 2U’s history.
Responsibilities Include, But Are Not Limited To:
Design technical and impactful roadmaps for the business, and lead seamless execution of them.
Be a trusted thought partner for business teams in the Revenue organization.
Collaborate with and influence Marketing leadership so that your team’s work directly impacts marketing strategy.
Managing a core team of data scientists and creating opportunities for their career growth.
Thoroughly understanding the data. This means both leading a team that performs analysis, but also getting your “hands dirty” to analyze data.
Communicating insights clearly and effectively to cross-functional partners of varying technical levels.
Contribute towards advancing the Data Science discipline at 2U, including driving data best practices such as improving and automating analytical processes, building new data tools and data sets, data education around the company and mentoring and developing data folks.
Things That Should Be In Your Background:
A self-starter with a strong sense of ownership and the determination to initiate and lead projects to completion in a scrappy environment.
Experience leading high performing Data Science teams, with 3+ years people management experience.
Experience instilling a culture of ownership, collaboration, and results.
Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environment.
Track record of delivering analytics products, influencing marketing and product decisions, and providing expertise and direction on analytics, data science, experimental design, and measurement.
Statistical knowledge and ability to guide the team to perform analysis using advanced techniques when needed, including sampling methods, causal inference, predictive modeling, and forecasting. Knowledge of when to use which statistical approaches, and drawbacks of possible methodologies.
Advanced degree in Statistics, Mathematics, Physics, Economics, or related quantitative field.
Experience running online controlled experiments at scale.
About 2U Inc. (NASDAQ: TWOU)
2U is comprised of 3 lines of business: Graduate Degree Programs, Short Course, and Boot Camps. Going beyond traditional learning management systems, we use tech, people, and data to help top universities and enterprise organizations transform in the digital era—and eliminate the back row in higher ed. We support lifelong learning which means thinking beyond a single degree. It means finding ways for students to gain the skills they need to change careers, evolve their expertise, and meet the challenges of the changing world head-on. We help our partners fill those needs—developing new digital education technologies and offerings capable of supporting students at different points in their lives. Whether they need a simple refresher, to learn something new, or to change their career trajectories completely, our partners are there to help them succeed. Together with our partners, 2U has positively transformed the lives of more than 275,000 students and lifelong learners.
2U Diversity and Inclusion Statement
At 2U, we are committed to creating and sustaining a culture that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities of our employees. We strive to offer a workplace where every employee feels empowered by the ways in which we are different, as well as the ways in which we are the same.
Benefits & Culture
Working at 2U means working with individuals that are passionate and mission driven. We collaborate on tough problems to deliver the best outcomes for our partners, students, and each other. You will find team members working together in our open office spaces, gathered in the kitchen grabbing a snack, or taking a break in our game rooms.
2U offers a comprehensive benefits package:
Medical, dental, and vision coverage
Life insurance, disability and 401(k)
Unlimited snacks and drinks
Generous paid leave policies including unlimited PTO
Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break
In Colorado, the anticipated base salary for this role is $145,000.00 with potential bonus and equity eligibility. Note: The final compensation for this position may consider factors including the geographic location where the work is performed (candidate’s assigned office) and prior work experience of the candidate.To learn more, visit 2U.com. #NoBackRow
Note: The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay.
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Data Scientist | 2U |
Tech & Data Science
|
Lanham, MDRemote
Data Scientist
Note: By applying to this position your application is automatically submitted to the following locations: Lanham, MD; Remote
What We’re Looking For:
2U believes in the power of higher education to unlock human potential and help address society’s critical needs. With 45 million registered learners in 196 countries and a catalog of 4,000 digital programs offered by 230 partners (including 38 of top 50 universities in the world), our platform connects learners who want to learn with institutions who have best-in-class learning content. Our mission is to build the world’s best consumer centered higher education marketplace.
The Data Science team is chartered to relentlessly improve all 2U revenue operations by surfacing insights, and identifying and enabling product and marketing innovations leveraging analytics, experimentation and modeling.
As a Data Scientist, you’ll partner with a diverse range of cross-functional business partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have a significant business impact and implications for our learners. You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning. This is a high-impact role in which you will have a direct influence on how product and marketing decisions are made. You will play a key role in spurring innovations to drive growth, engagement, and retention at a critical moment in 2U’s history.
Responsibilities Include, But Are Not Limited To:
Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems
Proactively perform data exploration on engagement behaviors to discover future opportunities
Apply modeling and machine learning techniques to business problems, including engagement and retention forecasts and valuation models
Collaborate with cross-functional stakeholders from product, marketing, engineering, admissions, operations, etc., to develop and deploy insights and models at scale
Relentlessly improve data science team operations by providing feedback and mentorship to team members
Present your insights to all levels of the company
Things That Should Be In Your Background:
3+ years of relevant working experience in a quantitative role performing statistical modeling and analysis. (We are open to hiring mid-level to senior candidates for this role.)
Strong statistical knowledge and intuition - ideally utilized in experimentation, predictive modeling, forecasting or other analytics settings
Experience in building real-world machine learning models with demonstrated business impact
Strong SQL and quantitative programming skills in Python or R
Comfort working independently to take ambiguous problems and solve them down in a structured, hypothesis-driven, data-supported way
Excitement about influencing product strategies in a fast-paced, cross-functional environment
Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels
Other Attributes That Will Help You In This Role:
Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field
Experience productionizing real-time machine learning models
Experience with running online controlled experiments at scale
About 2U Inc. (NASDAQ: TWOU)
2U is comprised of 3 lines of business: Graduate Degree Programs, Short Course, and Boot Camps. Going beyond traditional learning management systems, we use tech, people, and data to help top universities and enterprise organizations transform in the digital era—and eliminate the back row in higher ed. We support lifelong learning which means thinking beyond a single degree. It means finding ways for students to gain the skills they need to change careers, evolve their expertise, and meet the challenges of the changing world head-on. We help our partners fill those needs—developing new digital education technologies and offerings capable of supporting students at different points in their lives. Whether they need a simple refresher, to learn something new, or to change their career trajectories completely, our partners are there to help them succeed. Together with our partners, 2U has positively transformed the lives of more than 275,000 students and lifelong learners.
2U Diversity and Inclusion Statement
At 2U, we are committed to creating and sustaining a culture that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities of our employees. We strive to offer a workplace where every employee feels empowered by the ways in which we are different, as well as the ways in which we are the same.
Benefits & Culture
Working at 2U means working with individuals that are passionate and mission driven. We collaborate on tough problems to deliver the best outcomes for our partners, students, and each other. You will find team members working together in our open office spaces, gathered in the kitchen grabbing a snack, or taking a break in our game rooms.
2U offers a comprehensive benefits package:
Medical, dental, and vision coverage
Life insurance, disability and 401(k)
Unlimited snacks and drinks
Generous paid leave policies including unlimited PTO
Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break
In Colorado, the anticipated base salary for this role is $100,000 with potential bonus and equity eligibility. Note: The final compensation for this position may consider factors including the geographic location where the work is performed (candidate’s assigned office) and prior work experience of the candidate.To learn more, visit 2U.com. #NoBackRow
Note: The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay.
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Senior Data Scientist | Vic Ai |
Location: Remote in the EU or EST
This is a fully remote position, full-time, with flexible working hours and work arrangements.
About Vic Ai
We're a rapidly growing startup, building software for real-time autonomous accounting and financial intelligence. Our proprietary AI and beautifully crafted UIs combine to give accountants and businesses capabilities they've never had before.
We were founded by three Norwegian entrepreneurs, and are fortunate to have some renowned investors and partners: ICONIQ, Costanoa Ventures, Cowboy Ventures, and GGV Capital.
Our HQ office is located in Manhattan, New York. However, we are a remote-friendly company.
Our company is re-thinking how financial back-office automation and B2B spend works....a mind-meltingly large market. We're a talented, hard-driving team led by experienced entrepreneurs. If you’re an enthusiastic, detail-oriented, curious disruptor, come build with us, you’ll fit right in.
Role
As a Senior Data Scientist at Vic.ai, you will….
Analyze the performance of existing AI models
Suggest improvements to existing AI models and code them
Perform R&D on state-of-the-art AI models to replace existing ones
Work within the MLOPs team to produce ready-for-deployment code
Meet with the CS team and incidents to address feedback from customers using the app
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive new business solutions.
Requirements….
10+ years of experience as a Data Scientist, Statistician, or a Quantitative Analyst
Experience designing and building statistical forecasting models and machine learning models
Experience with cloud platform and its ML tools is preferred
Experience with data visualization tools is preferred
Sound knowledge and understanding of applying Machine Learning, and Deep Learning techniques
Experience with NLP will be a plus
Strong understanding of programming with Python, SQL, and with Notebooks like Jupiter
Understanding of fundamental design principles for building a scalable and highly available application
What we offer....
An exciting work environment operating at the forefront of AI technology development
Competitive salary
401K, health/vision/wellness perks (including health insurance coverage option 100% free for the employee AND family and perks like ClassPass and CitiBike!)
Generous maternity and paternity leave
Virtual team-building events & awesome swag
People-focused culture, adding value and fun to our meetings
Generous vacation time, family and travel-friendly environment
Work alongside an enthusiastic, collegial, and driven team in a highly meritocratic environment
The opportunity to work remotely, including workstation setup
A team-focused culture. The team builds the product, the business builds the teamAs an employee-first culture, Vic.ai also offers in-person retreats to employees. We love connecting in person as a remote-first company. We make it a benefit to our employees to come together and be able to celebrate our accomplishments, work together in person, and enjoy team-building activities! We hold company retreats multiple times a year to keep our Vic.ai community strong.Check out all the fun we are having @vicdotai on our Instagram page. Also, don’t forget to follow us on LinkedIn to stay up to date on our AI technology and new career opportunities to join our teams.
Acceptance and inclusion for everyone is at the heart of our company. We strive for diversity of thought, culture and background, which connects the entire Vic.ai community. We are proud to be an Equal Opportunity Employer.
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Senior Data Scientist | Omada Health |
Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time.
Job Overview:
We’re all familiar with the problem. The convoluted incentives of the US healthcare system have yielded ballooning costs in exchange for low life expectancies relative to other wealthy countries. Omada has spent the last eleven years pioneering a value-based healthcare system for chronic conditions to correct this trend by tying revenue to proximal gauges of clinical outcomes. With our incentives in order, we leverage data to empower our care team of health coaches and clinical specialists to coordinate the most effective behavior change strategy for each member of our digital programs.
The Omada Insights Lab exists at the heart of this endeavor by focusing on two key areas of research:
Measuring Healthy Behaviors: Developing and validating innovative measurements of health outcomes to orient internal decisions and to refocus the collective conversation of the digital health industry around metrics that matter.
Coordinating Personalized Care: Sifting through a rich dataset of natural language, readings from connected devices like blood glucose monitors, demographics, and so forth to tailor effective interventions that fit members’ unique circumstances.
As a Senior Data Scientist, you will collaborate with colleagues from a diversity of quantitative, product, operational, and clinical backgrounds to conduct research related to the focus areas of the Insights Lab. For example:
Causal Inference: Detect the incremental value produced by the volume and character of the time our care team spends with members
Natural language processing: Quantify abstract concepts such as rapport and emotional convergence in the dialogue between a member and their coach
Recommendation: Optimize Omada’s impact on the collective health of the population by matching each member to their ideal coach
Your work will change the lives of our members, enrich the jobs of Omada's care team, and, if we play our cards right, make the US healthcare system just a little bit better.
About You:
Deep expertise in statistical methods such as experimental design, regression, causal inference with observational data, time series modeling, and multilevel modeling
Ability to synthesize and incorporate scientific and academic research into analytical approach
Confidence in Python, R, or another analytical scripting language
Some experience with SQL is a plus
Degree in a quantitative field such as statistics, economics, applied math, operations research, engineering, or relevant work experience
5 years of applicable industry experience in a quantitative field, especially in health economics or digital health
A strong desire for impact and a bias for action despite ambiguity. We believe in learning by doing!
You enjoy storytelling and relish teaching and learning from your peers
You can collaborate on Pacific Time
Benefits:
Competitive salary with generous annual cash bonus
Stock options
Remote first work from home culture
Flexible vacation to help you rest, recharge, and connect with loved ones
Generous parental leave
Health, dental, and vision insurance (and above market employer contributions)
401k retirement savings plan
Work from Home stipend
Monthly mental wellness days
Two giftable Omada enrollments per calendar year
...and more!
It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!
Start with Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work.
Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together.
Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it.
About Omada Health: Omada Health delivers integrated, virtual care across chronic conditions, a top clinical need for employers and health plans. By combining clinical best practices with the science of behavior change, Omada Health improves member health and reduces the cost of care. Working with over 1,700+ customers — including health plans, health systems, and employers ranging in size from small businesses to Fortune 500s across a wide variety of industries — Omada delivers personalized interventions for diabetes, diabetes prevention, hypertension, and musculoskeletal issues. All programs include integrated behavioral health support. Omada Health’s virtual care programs are clinically supported and evidence-based, with results published in multiple peer-reviewed journals. To learn more, visit www.omadahealth.com.
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.
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Senior Data Scientist | Hims Hers |
Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. Hims & Hers connects consumers to licensed healthcare professionals, enabling people to access high-quality medical care—from wherever is most convenient—for numerous conditions related to primary care, mental health, sexual health, skincare, and more. Launched in November 2017, the platform also offers thoughtfully created and curated health and wellness products. With products and services available across all 50 states and Washington, D.C., Hims & Hers’ mission is to make it easier for all Americans to access affordable care and treatment for conditions that impact their daily lives. In January 2021, the company was listed on the NYSE at an initial valuation of $1.6 billion and is traded under the ticker symbol “HIMS”. To learn more about our brand and offerings, you can visit forhims.com and forhers.com.
As a remote-based Senior Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply machine learning techniques to improve our products and processes. You will also partner cross-functionally with Engineering, Product, Marketing and Operations to build innovative AI/ML solutions in telehealth that drive improvements for the business.
We are looking for someone with strong experience building and deploying machine learning solutions in marketing, business analytics, and operations, someone who has a passion for driving business impact through data science, has strong communication skills and the ability to collaborate well with business partners. If you are excited about being part of the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you!
You Will:
Identify opportunities to apply machine learning solutions across marketing, business analytics, and operations
Process data from disparate sources and perform sophisticated analysis to enable decision making by leveraging exploratory data analysis, statistical modeling or machine learning techniques
Drive projects on customer segmentation, customer lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting
Contribute to marketing mix modeling and marketing attribution models
Supervise and shape marketing and growth experimentation practices
Partner with engineers and business stakeholders to design, develop and deploy AI/ML products end-to-end to drive business outcomes
Contribute to the development of maturation of data science ecosystems and best practices
At a Minimum You Have:
3+ years of experience in data science along with an MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related fields
Familiarity with the marketing business domain, particularly applications such as customer segmentation, Marketing Mix Modeling (MMM), or marketing attribution is highly desirable
Expert-level knowledge in statistical experimentation or A/B testing principles
Proficient in working with structured and unstructured data from multiple sources by using data science programming languages, such as Python, R, and SQL
Solid background in machine learning and statistical modeling techniques, such as classification, clustering, dimensionality reduction, forecasting, recommender system, and optimization. Knowledge in Deep Learning, CNN’s, GAN’s, Natural Language Processing (NLP) is a plus
Experience of the entire ML model lifecycle (modeling approach ideation, data exploration, model development and prototyping, deployment, monitoring and iteration)
Experience with cloud-based machine learning platforms, such as GCP
Results-oriented with strong project management and communications skills
You'll Get:
An open culture where we always seek improvement and cherish your input
Great compensation package with equity compensation
Unlimited PTO (10 holidays off), Mental Health days (1 day off per quarter)
High-coverage medical, dental & vision
Mental health & wellness benefits
Offsite team retreats
Access to Amazon HIMS Store to order any additional equipment to ensure you have the gear you need
Employee discounts on hims & hers & Apostrophe online products, and Apple Store
$75 monthly connectivity stipend (phone/internet)
Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
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Junior Data Scientist | Recast |
We're hiring a junior data scientist to help us build the future of media measurement.
What you'll do in your first 6 months:
Onboard new clients onto Recast's platform and work hand-in-hand with them to set priors, interpret their results, and plan experiments to validate the model.
Develop and manage data pipelines in R
Perform complex data analyses and present the results to clients to interpret the results of the Recast model
Things you probably have experience in:
Use of R for data cleaning and exploratory data analysis
Basic statistic and experimental methods
Presenting results of your analyses to both technical and non-technical audiences
2+ years of experience working as a data analyst
Bonus points:
Marketing data science and media performance measurement
Partnering directly with marketers to shape budgets and structure tests
Experience with Bayesian statistical modeling
Things that should excite you that might scare off other folks:
Working with a team of math-loving statistics nerds
Working directly with marketers on applying modeling result to marketing strategy
Exploring the output of a complex statistical model with over 30k parameters
Contributing directly to product direction and business strategy
Opportunity for ownership in a fast-growing company at the cutting-edge of a multi-billion dollar industry
As a junior data scientist you’ll get to work with some of the biggest brands in the world, helping them measure the effectiveness of hundreds of millions of dollars of marketing spend, forecast future performance, optimize budgets, and plan experiments.
Note: Recast is committed to building a diverse team so if you are from an under-represented background in tech (e.g., women, non-white, etc.) please apply even if you don’t necessarily check all of the boxes here.
While Recast is officially based in the US, we're a fully remote team (one founder lives in Brooklyn, the other in Mexico City).
If this sounds interesting to you, email us with a bit about yourself and any relevant linkedin / github links / resumes at [email protected].
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Junior Data Scientist | Liberty Mutual |
Note: This is a remote opportunity with compensation dependent on candidate’s geographic location, overall experience, and skill level.
Advanced Analytics & Modeling
From automating claims processes to optimizing marketing tactics to designing effective chatbots, Advanced Analytics & Modeling (AA&M) develops predictive analytics tools and provides data-driven insights that inform strategic decision making. By leveraging AI, machine learning and other advanced analytics techniques, AA&M increases efficiency and drives profitability across Liberty Mutual. Join the creative problem solvers of our Insights & Solutions group who are harnessing the power of data, analytics and technology to innovate today and transform tomorrow.
The Junior Data Scientist gains experience in collaborating with business partners to develop predictive analytic solutions that enable data driven strategic decision making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions. This role is part of the Capacity & Forecasting team, which provides staffing guidance to the Global Retail Markets US Service and Claims organizations, including predicting the amount of incoming calls/claims in the future.
This level focuses on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data.
Responsibilities:
Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
Assists in customizing analytic solutions to specific client needs.
Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
Engages with the Data Science community.
Participates in cross functional working groups.
Job Specifications:
Reference: 2022-52465
Category: Analytics
Primary Location: Remote
Additional Locations:
Schedule: Full-Time
Salary: USD-$99,000.00-–-$115,000.00-/-Year
Education Level:
Travel: As Needed
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Sr Data Science Manager Core Data Science Build | Shopify |
About the role
Shopify is like an operating system for a merchant’s business. Like an operating system, it provides a lot of what each merchant needs out of the box, but merchants rely on the ability to customize Shopify to meet their particular needs. Those customizations are built by first and third party developers who make apps, themes, and extensions that virtually every merchant uses to power their business.
The mission of the Build team is to provide tooling, capabilities, and infrastructure to make all commerce developers highly productive and to enable them to solve problems for merchants globally.
We’re looking for a strong leader with a proven ability to partner with and be a part of product leadership teams.The Senior Data Science Manager will own projects whose scope impacts multiple disciplines and domains at Shopify. They are responsible for deliverables that have directional implications on multiple product or service lines in which they operate, and to build a strong data culture around them along with the individuals and leaders that report into them. Specifically, the Senior Data Science Manager will:
Define and guide the short-term and long-term data strategy for Core Data Science - Build
Partner with Engineering, Product, & Design to identify unsolved user and business needs resulting in data powered solutions that scale
Provide technical leadership to our data science teams and lead them as they analyze data, implement statistical techniques, create data visualizations, and build data pipelines (using Python, Spark, SQL, Mode, Tableau...etc)
Cultivate a data-informed culture and deliver meaningful insights that drive product roadmaps and optimize business strategies
Drive excellent practices for establishing metrics & KPIs to drive cross-functional alignment
Collaborate with peer leaders in the product line Data Science team, and the broader Data organization, to improve and drive the group-wide Data Science & Engineering vision
Qualifications
Been a leader in multiple tech companies where analytics on top of massive data sets drives product & business decisions
A demonstrated track record of attracting top data/analytics talent, developing high-performance teams, and a knack for keeping top talent happy, challenged, and impactful
Previously managed other managers and can oscillate your leadership style relative to the needs of individual contributors that are also on your team
Exceptional problem solving and analysis skills combined with the ability to synthesize and effectively communicate findings to both technical and non-technical stakeholders
A product mindset that enables you to get to the root of problems faced by customers and users and to create data solutions and products to solve these challenges
Previous experience with developer ecosystems a plus
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you're really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
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.
Interested, but not ready to apply? Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.shopify.com/careers/teams/engineering
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.
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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Staff Data Scientist Checkout | Shopify |
About the role
The Core Data Science Checkout teams combine leading-edge analytical techniques with strong business & product acumen in order to drive better decisions and outcomes for Shopify’s merchants.
They work closely with product partners at every step in the decision-making lifecycle to ensure the best possible checkout experience for every sales channel of digitally native merchants of any scale.
As a Staff Data Scientists, you will partner with Product and Engineering to develop experiments and data products, with a focus on solving important problems rather than using specific tools. We are looking for talented data science leaders who can help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7+ years in a data science role solving large-scale, high impact business problems
Masterful data storytelling and strategic thinking, with an ability to inspire and cultivate the Data culture within your team
Extensive experience in product analytics, experimentation, metrics research, and working with engineers on instrumentation and robust data pipelining
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Deep understanding of advanced SQL techniques
Experience working with various levels of business stakeholders, from c-suite to Data Science senior leadership
Working on multiple work streams excites you, and you are able to use ambiguity as an opportunity for high-level thinking
Experience creating data product strategies, building data products, and continued iteration after launch
Experience launching productionized machine learning models at scale is a plus
Extensive domain experience in e-commerce, marketing or SaaS is a plus
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you're really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
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.
Interested, but not ready to apply? Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.shopify.com/careers/teams/engineering
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.
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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Staff Data Scientist | Offerup |
OfferUp is looking for an experienced Staff Applied Data Scientist to help build data science and machine learning solutions while helping to lead and build our Data Science and ML team. The Data Science team is foundational for building the next generation of OfferUp and helping our customers connect with the deals and items they are looking for quickly and without friction. As a Senior Data Scientist, you will partner with all product areas, adding insights and intelligence to support Personalization, Trust & Safety, and Search & Discovery.
As an engineering leader you will direct and influence technology and design decisions, and partner with our product leaders on building and delivering on the Data & Personalization roadmap.
This role is @Remote in Chile, Columbia, Costa Rica, Guatemala, Mexico, Peru.
Responsibilities
Lead a team of Data/Applied Scientists in achieving state of the art applied machine learning solutions.
Own, oversee, and delegate the design, architecture, development, testing, deployment, and delivery of large-scale NLP, CV, and classical machine learning solutions capable of making real time and batch decisions. Examples include Multi-class Classification of text and images, specialized text extraction, semantic understanding, improved search and retrieval, etc.
Develop members on the team, helping them advance in their careers
Champion operational excellence, establishing metrics and process for regular assessment and improvement of models and solutions which are tightly aligned with rest of the engineering systems
Keep the team up to-date with latest applied research solutions in NLP and CV
Establish standards of model updates, detecting model drift and performance and setting up benchmarks of excellence
Operate strategically and tactically
Exceptional written and verbal communication
Collaborate with Product and Engineering leaders to scope, identify, and refine data science requests
Requirements
5+ years of building and shipping ML models and data solutions with quality
3+ years of professional software development in languages such as Python, Java
Experience and API development
Expertise in querying and retrieving data using SQL from large data systems
Ph.D. or Master’s Degree in Computer Science, Mathematics, Statistics or a related technical field OR Bachelor’s degree and relevant work experience
Expertise in classical NLP methods (POS tagging, NER, n-grams, keyword extraction) as well as deep learning methods (semantic analysis, RNNs, LSTMs/GRUs, transformers)
Knowledge of large language models (BERT family) and their applications preferred
Working knowledge of deep learning methods applied to images highly preferred (CNNs, Transfer Learning)
Expertise in open source deep learning frameworks (Tensorflow/Keras)
Experience in creating microservices and deployment on cloud infrastructure (AWS, Azure, GCP)
Experience in using GPUs for model training desired, deeper knowledge preferred
Actively coached and mentored team members in their careers
Been actively involved in building vision, strategy, and roadmaps
Shipped several large scale projects with multiple dependencies across teams
Ability to communicate across teams and levels
Excellent communication skills both written and spoken (fluency in English required)
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Data Scientist Evergreen | Telesign |
Locations: AZ, CA, CO, DC, FL, GA, IL, MD, MI, MN, NC, NJ, NM, NV, NY, OR, PA, TN, TX, UT, VA, WA, WI
Telesign connects, protects and proactively defends companies, customers and the digital interactions between them. With powerful AI that delivers identity with speed, accuracy and global reach, we enable Continuous Trust. Empowering companies to transact, communicate and engage with their customers free of fear, Continuous Trust makes the promise of the digital economy possible.
The Data Science team at Telesign is responsible for both practical and R&D efforts. You will work closely with other data scientists, the product team, and engineering, to ensure a seamless delivery of ML products applied to complex and very large datasets. You will get an amazing opportunity to work on cutting edge data science platforms built on serverless AWS streaming architecture.
Essential Requirements:
Bachelor's degree in Computer Science, Data Science, Information Technology, or related technical or quantitative discipline/field
Curious about business industry and product development
Cross-functional collaboration experience
Ability to research and present to the team on latest technological and data science topics
3+ years of "hands-on" experience in several of the following:
Significant experience in popular Python packages such as numpy, pandas, sk-learn, xgboost
Experience manipulating data in Spark
Previous experience working with SQL and NoSQL databases (such as DynamoDB)
Experience delivering, evaluating, and iterating on models in production
Conceptual understanding of statistical methodologies and many machine learning algorithms with demonstrated application
Data visualization experience with packages such as matplotlib, plot.ly
Preferred Qualifications:
Experience with some of the following specializations: anomaly detection, network analysis and active learning
Previous hands-on experience in Docker and AWS Sagemaker
Familiarity with Tensorflow/Keras
About Telesign:
Telesign connects and protects online experiences with sophisticated customer identity and engagement solutions. Through APIs that deliver user verification, data insights, and communications we solve today’s unique customer challenges by bridging businesses to the complex world of global telecommunications.
Telesign is proud to be an equal opportunity employer. We believe our differences help us create a better workplace, a better product, and a better community. We do not discriminate on the basis of race, color, ancestry, religion, national origin, marital status, pregnancy, sex, sexual orientation, gender, gender identity or expression, age, genetic information, disability, military or veteran status, or any other basis protected by federal, state or local law, ordinance or regulation.
Telesign also participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Telesign is an Affirmative Action Employer and as part of the commitment to AAP, it will seek to ensure affirmative action to provide equality of opportunity in all aspects of employment, and that all personnel activities, such as the recruitment selection, training, compensation, benefits, discipline, promotion, transfer, layoff and termination processes remain free of illegal discrimination and harassment based on protected characteristics.
#LI-Remote
Telesign does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
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Data Scientist | Telesign |
Locations: AZ, CA, CO, DC, FL, GA, IL, MD, MI, MN, NC, NJ, NM, NV, NY, OR, PA, TN, TX, UT, VA, WA, WI
Telesign connects, protects and proactively defends companies, customers and the digital interactions between them. With powerful AI that delivers identity with speed, accuracy and global reach, we enable Continuous Trust. Empowering companies to transact, communicate and engage with their customers free of fear, Continuous Trust makes the promise of the digital economy possible.
The Data Science team at Telesign is responsible for both practical and R&D efforts. You will work closely with other data scientists, the product team, and engineering, to ensure a seamless delivery of ML products applied to complex and very large datasets. You will get an amazing opportunity to work on cutting edge data science platforms built on serverless AWS streaming architecture.
Essential Requirements:
Bachelor's degree in Computer Science, Data Science, Information Technology, or related technical or quantitative discipline/field
Curious about business industry and product development
Cross-functional collaboration experience
Ability to research and present to the team on latest technological and data science topics
3+ years of "hands-on" experience in several of the following:
Significant experience in popular Python packages such as numpy, pandas, sk-learn, xgboost
Experience manipulating data in Spark
Previous experience working with SQL and NoSQL databases (such as DynamoDB)
Experience delivering, evaluating, and iterating on models in production
Conceptual understanding of statistical methodologies and many machine learning algorithms with demonstrated application
Data visualization experience with packages such as matplotlib, plot.ly
Preferred Qualifications:
Experience with some of the following specializations: anomaly detection, network analysis and active learning
Previous hands-on experience in Docker and AWS Sagemaker
Familiarity with Tensorflow/Keras
About Telesign:
Telesign connects and protects online experiences with sophisticated customer identity and engagement solutions. Through APIs that deliver user verification, data insights, and communications we solve today’s unique customer challenges by bridging businesses to the complex world of global telecommunications.
Telesign is proud to be an equal opportunity employer. We believe our differences help us create a better workplace, a better product, and a better community. We do not discriminate on the basis of race, color, ancestry, religion, national origin, marital status, pregnancy, sex, sexual orientation, gender, gender identity or expression, age, genetic information, disability, military or veteran status, or any other basis protected by federal, state or local law, ordinance or regulation.
Telesign also participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Telesign is an Affirmative Action Employer and as part of the commitment to AAP, it will seek to ensure affirmative action to provide equality of opportunity in all aspects of employment, and that all personnel activities, such as the recruitment selection, training, compensation, benefits, discipline, promotion, transfer, layoff and termination processes remain free of illegal discrimination and harassment based on protected characteristics.
#LI-Remote
Telesign does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
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Lead Applied Data Scientist | Amperity |
Amperity is more than just the leading customer data platform — THE PEOPLE bring energy, smarts, and experience from all different backgrounds, reflecting our commitment to diversity, equity, and inclusion. THE TECHNOLOGY is multi-patented, AI-powered customer data management software that we invented to help solve problems that have been frustrating consumer brands for years. THE OPPORTUNITY is to hitch your career to a rocket ship. We're addressing a critical market need: helping hundreds of leading brands make sense of massive amounts of transaction and engagement data so that they can finally know who their customers are and how to provide the kinds of experiences that delight consumers and move the business metrics that matter. Come help us make it happen!
Interesting Problems
The Data Science team identifies, designs and implements algorithms that lie at the heart of Amperity's products. We focus on a few areas:
Identity matching: deduplicate and group billions of records to their underlying identities daily. Our customers use our predictions to create a personalized experience for their customers at every touchpoint.
Predictive scoring: With unified and enriched customer profiles (thanks to our entity matching algorithms), we build advanced customer-centric models to predict metrics/behaviors such as customer lifetime value, customer churn, product recommendations, and event propensity.
Causal Research: Causal inference helps marketers and analysts understand the impact and causality of marketing outreach. Our product should not only let them create campaigns and run experiments, but also learn the causal impacts of previous actions and provide optimization recommendations to achieve desirable outcomes more effectively in the future.
In addition to algorithmic development, we value sharing our findings with the broader data science community. We publish our research findings in top-tier peer-reviewed publications, engage with fellow data scientists by speaking at internal and external conferences, and also hold several patents focused on our core IP.
About You
We are looking for a versatile data science leader who can go deep to obtain useful insights for our customers (and help others learn to do the same). We are a team that moves quickly and relies on each other to think and work independently, handle ambiguity, and solve hard problems. If you are passionate about developing applied data science methodologies to help the world's most loved brands use their data to better serve their customers, and you are looking for an innovative, collaborative, and fun place to work, you should apply!
Qualifications:
Undergraduate degree in a quantitative discipline (e.g. statistics, mathematics, operations research, engineering, or computer science) with 5+ years of experience analyzing large data sets and building statistical/machine learning models in industry OR graduate degree in a quantitative discipline with 3+ years of similar experience
3+ years of Machine Learning modeling or software development experience in a product company.
Familiarity with a broad set of supervised and unsupervised ML approaches and techniques, ranging from Regression to Deep Neural Networks.
Experience applying ML-based solutions to complex problems in business, science, or engineering.
Proficiency in model development, model validation and model implementation.
Fluency in more than one programming language such as Python, Scala, Java, etc.
Experience with common data science toolkits such as Scikit-Learn, Spark ML.
Proficiency in using query languages such as SQL.
Familiarity with data structures, algorithms, distributed computing (e.g. Spark, Map-Reduce, Presto), and cloud storage systems
Extensive knowledge in at least one of these areas: data integration and cleaning, entity matching, probabilistic databases, predictive analytics for marketing, or causal inference.
Experience building scalable machine learning pipelines
Experience with fast prototyping - quickly translating business problems into data modeling problems, collecting and analyzing datasets, and building ML prototypes before implementing in production.
Ability to synthesize complex ideas for both technical and non-technical audiences. Good communication skills in conducting code reviews, writing technical documentation, and giving internal and external presentations.
Remote Available
Amperity has headquarters in Seattle and NYC. We are also currently hiring in CA, CO, CT, FL, GA, IL, IN, MA, MD, MN, NC, NJ, NY, OH, OR, PA, TX, UT (Subject to change).
Compensation
Base Salary: $180,000 - $240,000; This range reflects the good-faith hiring base salary range for this position. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education/training.
Stock Options: The opportunity for ownership is an exciting part of Amperity's total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.
Benefits
We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence.
Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
#LI-Remote
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Sr Auto Data Scientist Pricing R D | Clearcover |
Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Auto Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Auto Data Scientist?
Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making
What will you bring as a Sr. Auto Data Scientist?
3+ years of experience with applying advanced quantitative or predictive modeling techniques
Actuarial experience preferred in Auto and Property
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:
Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.
We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:
Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.
We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.
To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
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Sr Insurance Data Scientist | Clearcover |
Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Insurance Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Insurance Data Scientist?
Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making
What will you bring as a Sr. Insurance Data Scientist?
3+ years of experience with applying advanced quantitative or predictive modeling techniques
Actuarial experience preferred in Auto and Property
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:
Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.
We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:
Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.
We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.
To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
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Senior Data Scientist | Samsara |
About the role:
The Samsara AI team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Senior Data Scientist you will be a science leader and key contributor in building core models and predictive techniques for use in building and understanding products. You will work closely with other scientists as well as full-stack, firmware, and platform teams to deliver core infrastructure, services, and optimizations.
This role can be office-based or fully remote in the US and Canada.
In this role, you will:
Build and improve the accuracy of ML / CV models, including retraining and optimizing open-source models to solve Samsara-specific problems
Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
Lead org-wide initiatives on science, testing, and data-driven decision making
Research, adapt, and apply cutting edge techniques in CV and deep learning
Optimize models for inference on the backend and/or on edge devices
Partner with our hardware teams to design devices for optimal performance and cost
Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
Minimum requirements for the role:
BS or MS in Computer Science or other quantitative field (e.g., Applied Math, Statistics)
8+ years experience as a Data Scientist, Machine Learning Engineer, or similar role
Proficiency in data modeling as well as SQL, Python, R, or a similar scripting language
Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions
Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge
Experience coaching and mentoring more junior scientists
An ideal candidate also has:
PhD in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
Strong functional knowledge of common tools like Jupyter Notebooks, AWS (e.g., EMR, Redshift, S3, Sagemaker)
Record of successful mentoring and development of junior team members
Experience working with large datasets using distributed computing (e.g., Spark, Hive)
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Senior Data Scientist Nlp | Tiger Analytics |
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Bachelor's Degree in Data Science, Computer Science, or a related field 6+ years of Data Science and Machine Learning experience required Proficiency in Python. Ability to write complex SQL queries. Exposure to SAS preferred Proficiency with NLP concepts and experience in implementing NLP use cases preferred Proficiency with Statistics and Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, R Shiny, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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Senior Data Scientist Marketing | Bungie |
Bungie is looking for an experienced Data Scientist to help shape measurement and optimization of marketing campaigns. As part of the Bungie Analytics & Insights team you will join a diverse team of analysts, data scientists, data engineers, and researchers. You will leverage your expertise in data analysis and machine learning to provide marketers, business leaders, and project leads with actionable insights to make the best marketing campaigns possible. Most importantly, you will work at a fun and energetic company that is devoted to making world-class games.
Ideal candidates must have experience supporting Marketing teams and initiatives.
RESPONSIBILITIES
Develop relationships with members of the publishing and marketing teams to understand their analytics and data science needs
Designing experiments to clearly measure lift with control groups, as well as conducting inferential analysis to estimate uplift (casual analysis) from historical efforts
Perform ad-hoc analyses that inform marketing decisions being made by the team
Transform raw data and build efficient pipelines to create and support customer facing dashboards and reporting resources
Communicate the results of your analyses to technical and non-technical colleagues
Translate hypotheses about marketing campaign behavior into models to improve campaigns
Develop models for predicting and segmenting audience response
Various other data related tasks necessary to support the team
REQUIRED SKILLS
Proven experience as a Data Scientist, Technical Analyst, or similar role
Advanced SQL skills
Intermediate Python or R skills
Experience analyzing large media data sets (e.g. Attribution, Campaign Tests, etc.)
Experience applying ML models and statistical analysis
Foundational knowledge of statistics and test measurement
Understanding of digital media fundamentals
Ability to create clear data visualizations for a variety of stakeholders
Ability to effectively communicate technical insights to a non-technical audience
Understanding of data science use cases and data engineering concepts (e.g., modeling, pipelines, warehousing)
Knowledge of database marketing fundamentals (e.g. segmentation)
NICE-TO-HAVE SKILLS
Experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS)
Experience with Tableau or similar data visualization tool
Experience with Web Analytics tools (e.g. Google Analytics)
Experience with data warehousing and data engineering
Interest in Gaming and foundational knowledge of Games
So you don't meet every requirement listed in this job description? Do you think your experience level is not where it needs to be? Studies show that women and people of color are less likely to apply to jobs unless they believe they meet every single qualification. Bungie is focused on building a diverse, inclusive, and equitable workplace. If you're interested in this position but your past experience doesn't line up perfectly with every qualification in the job description, we want you to apply anyway. The right role for you may be right around the corner!
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.
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Data Scientist | Nationwide |
As a team member in the Finance and Internal Audit department at Nationwide, the opportunities are endless! You can grow and learn in diverse areas across many disciplines such as Advanced Analytics, Investments, Actuarial, Accounting, Risk Management, Critical Business Advisor and so much more. Let Nationwide help create your career journey!We are open to all levels of experience from Entry Level up to Managerial.Internal Compensation Grade: Can be hired at multiple grades, E5, F5, G5 and H5.Location: This position can be filled as Hybrid or Remote Job Description SummaryDo you have the desire to play a critical role in driving data-based business outcomes? At Nationwide, our Analytic Scientists are responsible for modeling complex problems, discovering insights and identifying business opportunities using scientific research methods, statistics, machine learning, and data visualization techniques. They participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment, and presentation of results. We value a dedication to lifelong learning and strong quantitative judgment. If you are a methodological generalist who is adept at applying your technical skill set to a wide range of business applications, we want to know more about you! As a Senior Consultant, you'll work directly with business partners to define project scopes and build solutions. We’ll count on you to structure and lead large, complex analyses across one or more areas and effectively synthesize analytic results to improve business outcomes. You’ll build lasting relationships and help business leaders navigate complex, competing objectives. You’ll be a subject matter authority, in both analytical and business applications, and will communicate effectively with technical and non-technical audiences. Your proficiency with advanced statistical and machine learning techniques will help you direct the application of these techniques to solve complex problems.Job DescriptionKey Responsibilities:
Leads large projects of broad scope and business impact that involve the design, development, implementation, and monitoring of statistical and machine learning models.
Consults with business partners to understand, define, and deliver work that meets their needs and delivers timely results.
Effectively integrates internal and external research findings to generate hypotheses and help business partners make informed decisions.
Applies knowledge of advanced quantitative techniques to analyze any given data structure.
Builds predictive and explanatory models to generate impactful insights and practical solutions to business problems.
Crafts deliverables that provide clear and concise summaries of findings and recommendations using impactful storylines and data visualization geared to both technical and non-technical audiences.
Upholds a high standard for methodological rigor, sound statistical inference, and robust model validation.
Designs and guides the research and application of modeling methodology.
Collaborates with multiple departments or business functions to accomplish management goals, objectives, and tasks.
May perform other responsibilities as assigned.Typical Skills and Experiences:Education: Preferred graduate studies in statistics, engineering, math, quantitative social science fields, or related areas. Proven experience building and deploying machine learning and/or statistical models or executing quantitative research studies may be considered in lieu of formal education.Experience: Typically, seven or more years of related work experience in a relevant field.Knowledge, Abilities and Skills:Quantitative judgment: Proven experience building and deploying machine learning and/or statistical models. Research Methods: Knowledge of multiple quantitative research and analysis approaches and their tradeoffs. Programming ability: Python, R, SQL, or any other transferrable language (MATLAB, Java, etc.) Strong project management skills and the ability to handle multiple large projects simultaneously. Advanced written and verbal communication skills with the ability to communicate technical concepts to different level audiences with varying technical knowledge. Solicits and objectively considers input from appropriate sources. Considers implications of actions on other areas, people, and processes when making a decision. Passion, inquisitiveness, creativity, self-starters, and team builders.Other criteria, including leadership skills, competencies and experiences may take precedence.Staffing exceptions to the above must be approved by the Vice President and HR Vice President.Values: Regularly and consistently demonstrates the Nationwide Values. Job Conditions: Overtime Eligibility: Exempt (Not Eligible) Working Conditions: Normal office environmentADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.#LI-KF1BenefitsWe have an array of benefits to fit your needs, including: medical/dental, paid time off plus nine paid holidays, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.For NY residents please review the following state law information: Notice of Employee Rights, Protections, and Obligations LS740 (ny.gov) https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdfNationwide utilizes a geographic-specific salary structure. The range for this role in Colorado is$124,000.00 - $181,000.00
Nationwide pays based on a geographic-specific salary structure. The range for this role in Ithaca, New York is$124,000.00 - $238,000.00
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Data Science Internship | Nationwide |
As a team member in the Finance and Internal Audit department at Nationwide, the opportunities are endless! You can grow and learn in diverse areas across many disciplines such as Advanced Analytics, Investments, Actuarial, Accounting, Risk Management, Critical Business Advisor and so much more. Let Nationwide help create your career journey!Job Description SummaryJob DescriptionNationwide Insurance is seeking candidates for various Data Science internship positions to join the Enterprise Analytics Office (EAO) from May to August 2023.EAO Data Scientists support all of Nationwide’s products by working with business partners to develop integrated, end-to-end solutions contributing to company success. We uphold a high standard for methodological rigor using sound statistical inference and robust model validation in our daily work.As a Data Science Intern, you will work with real customer data, build and evaluate predictive or explanatory models, and provide recommendations using impactful storylines and advanced data visualizations catered to both technical and non-technical audiences. You will use enterprise-class analytic software tools and platforms including R, Python, Tableau, Teradata, and Amazon Web Services.Graduate or undergraduate candidates will be considered, from any major. Some statistical and/or technical background is preferred.Job SummaryAs a Data Science Intern, you will take an active role on one or more projects within Nationwide’s Enterprise Analytics Office and participate in many or all phases of the analytic lifecycle, including:
Working with team members and business partners to identify, define and research the business problem to be solved.
Acquiring, preparing, and cleaning data sets from one or more data sources, some containing millions of rows and hundreds of dimensions.
Analyzing and visualizing trends and patterns in structured and/or unstructured data and effectively communicating relevant insights in support of business problem solving.
Building, implementing, evaluating, and documenting predictive and/or explanatory models and sharing insights and practical solutions with the team and business partners.
*This internship will be fully remoteAs an intern in the EAO, you’ll be part of a highly collaborative work environment and develop valuable technical and nontechnical skills beneficial to your development as a professional. #wayupAll the materials in this document are proprietary & confidential. Unauthorized use or publication of any part of this document outside of Nationwide is strictly prohibited. Copyright Nationwide Mutual Insurance CompanyBenefitsWe have an array of benefits to fit your needs, including: medical/dental, paid time off plus nine paid holidays, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.
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Data Scientist Senior | Booz Allen Hamilton |
Data Scientist, Senior
The Opportunity:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve Navy mission solutions. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help military leaders make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Join us as we use data science for good in Navy mission solutions.
Empower change with us.
You Have:
3+ years of experience with analyzing data3+ years of experience with developing data science solutions in a scripting or programming language, including Python, R, C, or JavaKnowledge of data engineering practices, including ETL or ELTSecret clearanceBachelor's degree
Nice If You Have:
5+ years of experience with using statistical software applications, including SAS or R5+ years of experience with developing statistical and simulation models3+ years of experience with natural language processing topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, and application of deep learning to NLP3+ years of experience with developing experimental and analytic plans for data modeling processes, using strong baselines, and accurately determining cause and effect relationshipsTop Secret clearanceMaster's degree in Data Science, Applied Mathematics, Computer Science, Engineering, Statistics, Physics, Computer Networks, or Operations Research
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is $90,000 to $110,000.
Create Your Career:
At Booz Allen, we know the power of analytics and intelligence. When you join Booz Allen, we’ll help you develop the career you want.
Challenging projects – Whether training analysts on military equipment through VR technology; developing a simulation capability to allow teams to rehearse missions together; or integrating RFID tags into mobile devices to enable data access within a geo parameter, you’ll get to solve some of the world’s toughest problems
Meaningful work – Use your skills to empower change. Your work will keep citizens and warfighters safe and well both at home and abroad
State-of-the-art technology – Broaden your intelligence capabilities with digital forensics, telematics, precision navigation, secure mobile operations, and advanced analytics
New skills – In-house experts and partnerships with tech leaders, like Nvidia and Splunk, mean you can get practical experience with advanced GPU technologies, cyber security, and data science
Room to grow – You’ll be inspired to grow your career while making your ideas a reality thanks to new opportunities across the U.S. and abroad, encouraging mentors, and collaborative colleagues you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
#LI-AH1
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Senior Data Scientist | Degreed |
Degreed is the upskilling platform that connects learning to opportunities. We integrate everything people use to learn and build their careers—skill insights, LMSs, courses, videos, articles, and projects—andmatch everyone to growth opportunities that fit their unique skills, roles, and goals.
The Data Science team at Degreed works with large structured and unstructured datasets to understand how people develop the skills that they need to advance their careers. To do this, we use a diverse set oftools and approaches, including feature engineering, clustering, classification and recommendation models, word embeddings, and neural networks. Degreed is looking for a capable, qualified and versatile. Data Scientist to help with the development and delivery of high-quality, data-driven, machine learning and predictive modeling solutions.
Position can be located in US, Brazil, or India.
Day in the Life
Lead multiple end-to-end ML projects
Discover and translate business challenges to data problems, data-pipelines and model framework
Mine structured and unstructured data (company internal data and public data)
Engineer features, build models, and evaluate model performance
Collaborate with product and engineering teams to deploy models to support production
Deliver fast while continually adjusting models according to real-time feedback
Communicate about data science with a diverse set of stakeholders and development partners
This is not a data analyst role
This description reflects management's assignment of essential functions; it does not prescribe or restrict other tasks as assigned and is subject to change at any time.
Who You Are
4+ year hands-on experience in one of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing machine learning production software. Including 2+ years focusing on developing knowledge graphs, or NLP models or content recommendation systems
Strong coding skills in Python, or R
Advanced skills in database querying (SQL, noSQL) and search techniques
Experience building prototypes and experiments to validate technical ideas
Familiarity in developing cloud-based solutions using micro-services architecture, docker containers and Kubernetes
Ability to work in different coding environments (local, notebooks, containers) and familiar with software engineering workflows (testing, code management/Git)
Ability to blend together diverse data sources to create training data for specific problems
Excellent written and verbal communication skills. We’re a distributed team and rely on good communication to perform at a high level
Experience working remotely - It takes a self-motivated individual to thrive on a distributed team
You are a lifelong learner and passionate about learning new things and taking on new challenges
What Sets You Apart
Experience working with graph data models (RDF, Property), graph query languages (Gremlin,
SPARQL, Cypher), or graph databases (Azure CosmosDB, Amazon Neptune, Neo4J,
TigerGraph)
Experience in Natural Language Processing techniques for entity resolution, disambiguation, and
linking
Experience with tools and platforms like ElasticSearch, Microsoft Azure, AWS, BERT, GPT,
Word2Vec (w2v), Databricks
A proven track record leading successful applied data science projects
Educational/Certification Requirements
Master or PhD degree in a quantitative field like Computer Science, Applied Math, Physics, Data
Science, Analytics, etc
Additional InformationThis position requires the successful candidate to work in US, Brazil or India. Prior to commencing work,applicants must have and provide Degreed with proof of authorization to work in US, Brazil or India.Degreed provides equal employment opportunities to all employees and applicants for employment andprohibits discrimination and harassment of any type without regard to race, color, religion, age, sex,national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity orexpression, or any other characteristic protected by federal, state or local laws. This policy applies to allterms and conditions of employment, including recruiting, hiring, placement, promotion, termination,layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to the full inclusion of all qualified individuals. As part of this commitment, Degreed willprovide reasonable accommodations to all qualified individuals with disabilities to participate in the job.
Total Rewards at Degreed
We believe your best work happens when you have a complete life balance, and Degreed gives you the support and flexibility to make that happen. Degreed is committed to delivering a comprehensive benefits program that provides the support you need. At the time of this posting, this role is eligible to participate in the following benefits:
Comprehensive health insurance for you and your family (both PPO and HDHP plans available)
Dental and vision plans for you and your family
Employer-paid life insurance, AD&D, short-term disability, and long-term disability
Company equity
401(k) Retirement Savings Plan with up to 4% match
Company funded HSA and dependent care FSA (pending eligibility)
Generous Parental Leave
Unlimited Paid Time Off and 5 sick days per year
Education benefit: Up to $1,200 per year for anything you want to learn (and we mean anything)!
One-time Home Office Stipend to make your workspace more comfortable
Monthly internet and phone stipend
Monthly wellness stipend through Twic
*Degreed reserves the right to modify these benefits at any time, for any reason in accordance with applicable law. Please note the offerings vary based on location.
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Senior Research Scientist | Thorn |
At Thorn, our cause is our code. We are a nonprofit whose mission of defending children from sexual exploitation and abuse is deeply embedded within our core—a shared code that drives us to do challenging work with resilience and determination.
Here, you’ll work and grow among the best hearts and the best minds in tech, data, and business alongside our network of independent partners, NGOs, and law enforcement agencies. Together, we’re focused on building technology that protects children’s futures. We are looking for dynamic problem solvers with the desire to help address some of today’s toughest issues. You'll collaborate with a diverse group of peers in a remote environment centered on wellness, care, and compassion.
In 2019, we took the stage at TED and shared our audacious goal of eliminating child sexual abuse material from the internet. Come join us to help make this goal a reality and build a world where every child can be safe, curious, and happy.
About the Role:
As a Senior Research Scientist, you will independently, and in partnership with the Research & Insights team, advance Thorn’s organizational knowledge of online child sexual exploitation and emerging trends. The work you do will be a combination of finding quick wins and developing longer-term research. 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 both technical and non-technical audiences. You’ll serve as a source of issue expertise in online child sexual exploitation and emerging trends. You’ll work closely with the Head of Research & Insights to grow the Research team’s impact, both internally and externally, by delivering nimble, innovative, and rigorous research.
What You’ll Do:
Lead a diverse portfolio of research projects leveraging a variety of large, unstructured data sources to drive understanding of trends in online child sexual exploitation
Implement new statistical or machine learning methodologies as needed for specific models or analyses
Draft briefs and reports that clearly and accurately distill nuanced subjects to a range of technical and non-technical audiences
Serve as a source of issue expertise in online child sexual exploitation and emerging trends. Mastering a variety of concepts and related data points to help Thorn make strategic decisions off the best information available.
Create visualizations to facilitate strategic decision making
Keep up to date with the newest developments in statistical analysis and related data science technologies
Mentor teammates fostering critical thinking and excellence in our research
Actively pursue diversity and inclusion in Thorn research to ensure all kids are represented in our understanding of this issue
Intentionally and proactively practice, defend and improve data ethics and statistical integrity, both in own work and cross-functionally across teams
Skills We’re Seeking
5+ experience in statistical analysis and/or data science using either Python or R with at least moderate knowledge of Python.
2+ mentoring and coaching colleagues via pairing, research design, and code review
Strong written, verbal, and visual communication skills, and the ability to tailor messaging to a range of audiences
Some travel will be required in the future
Prior knowledge of child exploitation/abuse issues is a plus
Desire to serve Thorn’s mission
Technologies We Use
Python, Jupyter notebooks
Python packages for statistical analysis and ML, like scikit-learn, statsmodels, etc.
NLP tools like Spacy, Gensim, or Hugging Face transformers.
ElasticSearch, SQL
Network analysis tools like NetworkX, neo4j graph algorithms
Github for code version control
DVC for version control of non-code data analysis artifacts
You should have at least four years of professional experience with these:
Python or R for data analysis
Statistical inference, hypothesis testing, regression analysis
Time series analysis
Data quality analysis
Unsupervised learning / clustering techniques
In addition, you should have non-trivial experience with:
Network analysis / social networks analysis
Expertise in any of the following is a major plus:
NLP
Raw data collection and processing, like web scraping, working with APIs to collect data, working with open source data, and querying databases
Bias assessment
In-depth knowledge of digital photo image metadata, photo editing techniques, webcams
Linguistics, especially computational linguistics
Experience in Anthropology, Psychology/Sociology, Epidemiology, Criminology, Forensic Science, Fraud detection
Emerging trends detection
Data visualization
At Thorn, our remote-first work model is structured around working from home most of the time. But, there will be times that employees are expected to travel. For example, Thorn may host company-wide gatherings, and smaller teams may hold in-person meetings and team-building events, or require attendance at specific conferences.
Thorn is a strong and flexible team because of the diverse backgrounds of our staff. This includes professional background, subject matter expertise, culture, race/ethnicity, sexual orientation, gender identity and expression, language, hobbies, etc. We strongly encourage women, minorities, and people from underrepresented backgrounds to apply. Your skills are needed here.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
“EEO is the Law” Poster
“EEO is the Law” Poster Supplement
Pay Transparency Nondiscrimination Provision
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Sr Data Scientist | Drivewealth |
The Data & Analytics team at DriveWealth creates data outputs and products for internal and external customers. We are looking for a Sr. Data Scientist to work closely with the product team to create both ad-hoc analytics and reusable outputs (dashboards and python notebooks) to monitor product growth and ideate on product usage. The output is focused on answering existing product questions but may lead to data and analytics features in the customer facing data products. In addition, this role will establish a centralized data science practice so will work closely with the larger Data & Analytics team to create a reproducible data science pipeline.
The ideal candidate thrives working closely with product managers while also being able to communicate very effectively with data engineers, analytics engineers and other internal stakeholders. The role will encompass working end-to-end on data products (from clarifying requirements to ideateing on the solution to building) with a central role of choosing the correct level of data science rigor to meet the objectives without being too sophisticated and time intensive. The candidate should be excited about coming into a team in the process of shaping the direction of data and analytics at DriveWealth; this means balancing competing priorities and laying the groundwork for data science to grow and help DriveWealth.
Responsibilities include, but are not limited to:
Work with product managers to understand the products and determine the appropriate analytic and data science outputs to help grow DriveWealth
Lead the construction of reusable outputs for internal end users (python notebooks, dashboards, csv outputs depending on use case)
Help create the structure necessary to reproduce “one off” data science results that can scale with DriveWealth and the data science team
Work with analytics engineering to create growing set of data features and data engineering to create data science and ML pipeline as needed
Proactively create analytics and dive into research on relevant data science topics, including ideating on analytics and data science usage through DriveWealth, helping to increase ability to make informed data driven decisions
Work to establish an open and scalable data culture through documentation, constructive code reviews and clear explanations of priorities and pain points
Qualifications:
5+ years of experience solving data problems with business partners to produce automated deliverables (ideally leveraging Python Notebooks)
Fluent in SQL and Python
Experience working in Tableau, QuickSight or other similar BI tools
Strong analytics and statistics background ideally with knowledge of behavioral modeling such as cohort and survival analyses
BS in Economics, Computer Science or equivalent program
Bonus
Familiarity with Snowflake and Databricks
FinTech or stock market experience
Familiarity with github and AGILE development
Experience with DBT, Airflow or other orchestration and SQL code management tools
#LI-TD1
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Senior Data Scientist Web Analytics And Experimentation | 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
Does the challenge of scaling a fast-growing company by powering it with data and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, relevant insights, and recommendations.
We're growing quickly, so you'll need to help define the processes for sustainable growth across the Economy organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this is a great fit!
What you'll do
Use data to understand complex customer experiences on Atlassian's website (e.g. www.atlassian.com, support.atlassian.com and confluence.atlassian.com). Analyze how customers navigate our website and identify opportunities for improvement.Define success metrics and report on KPI for Atlassian's websites. Research and explain trends and their impact on the success of the business.Accelerate web experimentation through best practices, tooling and clear recommendations.Build instrumentation and web tracking in collaboration with partners and engineers to establish a solid data foundation for this space.Collaborate with engineers, marketers & senior leadership to bring data to the forefront of decisions.
Your background
5+ years of experience in analytics, data science, or other quantitative fieldsAdvanced proficiency in SQLExperience defining and auditing web instrumentation requirements and web analyticsExperience designing and analyzing different types of web experimentation (e.g. A/B testing quasi-experimentation, rollout)Experience collaborating with senior management and translating insights into actionsAbility for creating raw data and analysis into well-written contentProficiency with data visualization best practices and tools such as TableauFamiliarity partnering with Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsAn agile development mentality, appreciating the benefit of constant iteration and improvement
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Data Scientist Varying Levels | Windfall Data |
At Windfall, we aim to democratize access to people data and insights. The company helps nonprofit and for-profit organizations to more effectively identify, understand, and engage affluent consumers with the industry’s most reliable and accurate dataset available. More than 800 organizations use Windfall Data to identify and engage their most promising constituents. As a company, we are growing quickly, and every member of our team has a tangible impact on the success of our business and our customers.
At Windfall, data is our product — and data science lies at the heart of everything we do. We are looking for experienced data scientists who are able to run machine learning models in production from day one, and who are driven to deeply understand and build upon our unique data assets.
We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.
Responsibilities:
Build production-quality, custom predictive models to enhance and expand our core product
Collaborate with team members and stakeholders to deliver findings to clients quickly & reliably
Investigate new data sources, perform statistical analyses, and document findings
Work with engineering and data vendors to improve the accuracy of our data sources
Requirements:
Advanced degree in a quantitative discipline
3 – 8+ years of full-time data science experience, including applied techniques in modern data science and machine learning in production environments
Expert knowledge of Python & SQL
Collaborative, team-focused attitude with a strong desire to advance the product and learn new things
The ability to communicate technical ideas to a non-technical audience
Self-starter with experience turning ideas into actionable designs
Excellent written and verbal communication
Eligible to work within the United States
About Windfall
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and propensity modeling, Windfall activates insights into workflows that engage the right people for each respective organization. More than 800 data-driven organizations use Windfall to power their business.
We comply with CCPA. For more information on how we comply, review our privacy notice.
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Bayesian Data Scientist | Ledger Investing |
About the Team:
Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.
About the Position:
Our data science practice is deeply Bayesian. We are invested in quantifying and disclosing every source of uncertainty in our modeling – our investors care about our level of confidence in our results as much as the top-line results themselves. The domain we work in is rife with small, noisy datasets, and Bayesian hierarchical modeling techniques are typically quite beneficial. Many of the problems we are most interested in have received relatively little attention in the academic literature, and we have a robust agenda of potential model enhancements that will improve the state of the art in the industry and improve our company's bottom line.
If these problems sound fun and interesting, we'd love to have you on our team.
About You:
Successful candidates will have all of the following attributes:
Extensive knowledge of statistics, machine learning, and data science
Demonstrated track record of applying and adapting Bayesian statistical methods to solve complex real-world problems.
Familiarity with hierarchical modeling, time-series/state-space methods, and/or distribution fitting.
Extensive experience with Python, R, Julia or other open-source languages with strong numerical computing ecosystems
Experience with Stan or another open-source tool for estimating Bayesian models via HMC; willingness to learn Stan.
Ability to work independently and communicate ideas effectively.
The following attributes will help you stand out from the crowd:
A track record of publications and/or presentations on Bayesian modeling topics.
MS or PhD in statistics or a related field
Familiarity with version control, especially Git/GitHub.
Working knowledge of property & casualty insurance, particularly from an actuarial and/or underwriting perspective.
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Actuarial Data Scientist | Ledger Investing |
About the Team:
Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.
About the Position:
The questions we focus on have broad overlap with traditional topics within actuarial science: estimating loss development, forecasting portfolio performance, quantifying tail risk, and the like. Instead of using traditional actuarial methods, we rely instead on more modern statistical approaches, particularly from the fields of Bayesian statistics and machine learning. We are building a robust, scalable, and highly automated pipeline by which we can price ILS transactions at scale with minimal human intervention.
At the same time, we recognize the value in more traditional actuarial perspectives, as they are the fruit of decades of practical experience. We also still regularly deal with stakeholders who are immersed in a traditional perspective, and actuaries play a vital role in translating to and from the modern Bayesian approaches we use internally. The synthesis of actuarial domain knowledge with cutting-edge techniques is at the crux of what we do.
About You:
Successful candidates will have all of the following attributes:
Extensive knowledge of statistics, machine learning, and data science.
Several years of hands-on experience in pricing and/or reserving for property and/or casualty insurance lines.
Demonstrated ability to apply new statistical or modeling techniques to actuarial problems (e.g., loss development, rate segmentation, trend estimation, etc)
Familiarity with modern Bayesian modeling techniques.
Extensive experience with Python, R, Julia or other open-source languages with strong numerical computing ecosystems
Strong attention to detail and ability to reconcile conflicting or ambiguous sources of information.
Ability to work independently and communicate ideas effectively.
The following attributes will help candidates stand out from the crowd:
A track record of publications and/or presentations on actuarial modeling topics.
Contributions to open-source data science or machine learning projects.
An actuarial designation (ie., ACAS or FCAS).
MS or PhD in statistics or a related field preferred.
Familiarity with Bayesian modeling using Stan.
Familiarity with version control, especially Git/GitHub.
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Data Scientist Ii | Caterpillar 7722E3E6 Dce2 4Be9 8F3E Ef9D67F23Bfd |
Career Area:
Information Analytics
Job Description:
JOB SUMMARY:
For over 90 years, our products and services have helped improve the lives of people around the world. Our customers use our products and our services to build the basic infrastructure that enables higher standards of living so that people have access to water, electricity, roads, bridges, hospitals, schools and so much more.
The Data Strategy Data Scientist II uses quantitative methods such as data mining and advanced statistical techniques to solve business challenges for internal and external Caterpillar Financial customers. The Data Scientist II contributes to this mission by leveraging his or her quantitative analysis, data management, modeling, and data visualization skills as an individual contributor to project teams tasked with solving business problems.
Caterpillar Financial uses quantitative techniques to solve problems. Typical problems include enhancing customer solutions by delivering key insights to our business partners to determine the principal drivers to best align Caterpillar Financial products and services with our customers. The principal responsibility of the Data Scientist II is to be an independent contributor to a team of Data Scientists within the Business Excellence Division. This position has a depth of knowledge in quantitative analytic methods, data management, and associated digital technologies suitable to handle complex issues. Data Scientists are expected to be familiar with the company’s processes, products, and organization, as well as its internal customers. Work is typically directed by a direct supervisor, project, or team lead through a review of work requested by the business. Challenges include meeting expectations in delivering results, refining solutions from complex situations, making timely decisions, and communicating effectively with all project stakeholders. Enhance the stakeholder experience by fully understanding the data requirements, use Lean methodology to add value to the initial requirements, and communicate the enhanced data solution back to the stakeholder. Mentor and develop the capabilities and organizational knowledge of more junior data scientists and associates. Demonstrates thorough knowledge of statistical approaches, data management techniques, and related digital technologies, and the ability to handle complex issues. The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods. As an individual contributor on teams, they will exhibit strong initiative and teamwork skills, and a comprehensive knowledge of Caterpillar Financial Products Division its products and services; its internal systems, processes, and procedures.
REQUIRED QUALIFICATIONS/EXPERIENCE:
Typically requires a Bachelor’s degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of analytics experience utilizing quantitative analysis, or a Master’s degree and 2-3 years of experience. Incumbent will have exhibited the ability to work on increasingly more complex assignments and will have demonstrated teamwork, initiative, interpersonal skills, and the ability to communicate effectively. 2-4 years experience with Caterpillar, working with a different unit or working with different products, processes or systems is highly desirable. Excellent presentation, communication, interpersonal, and collaboration skills. Capability to take initiative and lead in the presence of ambiguity to deliver innovative solutions and communicate effectively. Must be comfortable working in MS Office, and industry standard statistics and data visualization packages such as SAS, R, Python, SQL, Business Objects, Tableau, Power BI and Alteryx. Candidates with experience on handing data in AWS and Snowflake is a plus.
EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Relocation provided.
EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Not ready to apply? Submit your information to our Talent Network here .
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Data Scientist | Yelp 532E08Ee 2563 4A01 834D 05C4362E9A6C |
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
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:
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
MS/PhD in quantitative field and 3+ years of industry experience in a senior quantitative role preferred
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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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 state within the US. We welcome applicants from throughout the US.
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.
What You'll Get
This opportunity has the option to be fully remote in locations across the US.
Compensation range is $96,000-$220,000 annually. You may also be offered a bonus, restricted stock units, and benefits.
For more information about US benefits at Yelp, please check outthis link.
#LI-Remote
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco).
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.
CCPA Privacy Notice
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Data Science Analyst | Yelp |
At Yelp, it’s our mission to connect people with great local businesses. From a coffee connoisseur’s review of a neighborhood cafe, to a homeowner’s request for a quote to remodel their kitchen, Yelp’s data captures millions of user-business interactions every day.
The Data Science & Analytics team prides itself on harnessing the power of this data. We test and learn, build tools and lead meaningful analyses to extract insights that influence Yelp’s product and business strategy.
We’re looking for a self-motivated critical thinker whose intellectual curiosity is met with a healthy dose of skepticism. You value the integrity of your work, sanity check analyses before drawing conclusions, and take pride in telling stories with data. You are a team player who is an excellent communicator, quick learner, and as excited about Yelp as we are.
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.
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.
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.
Where You Come In:
Lead broad analytics projects core to Yelp’s business, communicate key insights to decision makers, and help product leaders uncover new opportunities.
Manage tight deadlines and quickly iterate analyses to answer unstructured business questions, deliver actionable learnings, and make strategic recommendations.
Work cross-functionally with product and engineering to define, log, and track Yelp’s key product metrics and opportunity size new initiatives.
Generate dashboards and automate reports that empower teams across the organization to make data-driven decisions.
Grow and maintain impactful relationships with stakeholders of both technical and non technical backgrounds with clear and frequent communication.
Think critically about experimental design and advocate for thoughtful experimentation.
What It Takes to Succeed:
BA/BS or graduate degree in a quantitative field (mathematics, statistics, economics etc.) or equivalent experience
Ideally 3 or more years of quantitative industry experience, ideally within the consumer product space
Excellent SQL skills, fluency in Python, and experience with at least one statistical package (R, Pandas/NumPy/SciPy/matplotlib, Stata, Matlab).
An eye for compelling data visualization and extensive experience with related tools (Tableau, Mode, Looker).
Solid understanding of statistical inference, experimental design and analytic bias. Familiarity with financial modeling and advanced statistics (regression, non parametrics, predictive modeling) a plus.
Local businesses are turning to Yelp because we’re uniquely positioned to help them reach their customers during these challenging times. Our Engineering & Product teams have responded by quickly identifying their needs and building innovative products and features to support them. Our commitment to connecting people with great local businesses has never been stronger.
#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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Senior Data Scientist Assessment | Udemy |
Description
As Udemy looks toward the future of online education, skill assessments lie at the heart of promoting learner progression and growth. Udemy’s skill assessment group is looking for a data scientist with a strong background in psychometrics, statistical modeling, machine learning, and hands-on experience with empirical research methods in the social sciences.
As a data scientist at Udemy, you will be partnering with product managers, designers, and engineers to build algorithmic and model-driven solutions to power skill assessments. This role will require a combination of applied measurement experience, data-driven decision making, and the data science and coding chops to dive headfirst into development on production systems. A successful candidate will have knowledge of best industry practices for growing and maintaining a large set of assessment products, while being courageously experimental in finding new solutions to ongoing issues in test development and maintenance.
Here Are Some Questions You Could Be Working On:
What is the appropriate methodology for equating/linking assessments on our platform?
How do we best maintain and utilize operational item banks?
What other user activities can be used as indicators of learning?
How do assessment results relate to other user outcomes?
How do users engage with other learning products after completing assessments?
How can content recommendations be improved using assessment outcomes?
Here Is What You Will Be Doing:
Collaborate with other data scientists, PMs, designers, and engineers to maintain and grow our skill assessment platform
Effectively communicate and present to both technical and non-technical audiences
Critically evaluate and implement the state-of-the-art research literature in educational assessment
Develop production-grade data pipelines and continuously improve the quality and accessibility of data
Develop psychometric models for skill assessment through all phases, including prototyping, productionization, and experimental evaluation
Define metrics and build dashboards to track the adoption and health of skill assessments
Collaborate with content developers and instructional designers to develop and refine item writing and review processes
We Are Excited About You Because You Have:
3+ years of hands-on industry experience in a psychometric or data science-oriented role
Domain experience in educational assessment and psychometrics (e.g., Classical Test Theory (CTT), Item Response Theory (IRT), Computerized Adaptive Testing (CAT), equating and scaling)
Strong SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
End-to-end experience organizing and analyzing large data sets for operational purposes
Ability to communicate effectively with non-technical stakeholders
Strong knowledge of applied statistics and experimental design
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 using big data technologies (e.g., Hadoop, Spark)
Minimum Salary Expectations: 125,000
About Udemy
At Udemy, we’re all about improving lives through the power of learning. We are a leading global learning company and one of the world’s largest education platforms with more than 54 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals. Talented people are everywhere, but opportunities can be hard to come by. That’s why we’re focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by empowering our learners, our instructors, and businesses around the world.
We are proud to be recognized for our world-class employee experience. Learn more about our Great Place to Work certification here and find out what it's like to work at Udemy on our blog.
Udemy is headquartered in San Francisco with global offices in the US, Turkey, Ireland, Australia, India, and Brazil. Learn more on our company page.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. We will consider for employment qualified applicants with arrest and conviction records.
Udemy Benefits:
Eligibility: Regular, full-time employees are eligible for Udemy’s benefit programs.
Health Plans: Medical, dental, and vision coverage (100% coverage for employee-only).
HSA/FSA/Commuter: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.
Life/Disability: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.
Retirement: Access to 401(k) with annual employer contribution.
Wellbeing: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.
Education: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.
Charitable Matching Program: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.
Vacation: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.
Parental Leave: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.
Holidays: 11 paid holidays throughout the year
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Senior Data Scientist Insights Udemy Business | Udemy |
About the Role
In the Data organization at Udemy, we’re passionate about transforming the future of education using data! We’re looking for fun, collaborative, self-motivated data scientists with an insatiable sense of curiosity and a knack for asking the right questions. The ideal candidate is an analytically creative thinker who is unafraid of ambiguity, has a track record of tackling difficult technical challenges, and has a pragmatic and relentless focus on driving meaningful business impact. We believe in building diverse teams, collaborative teams in which each person brings unique skills, knowledge, and experience to the table. If this opportunity sounds exciting to you, then read on!
At Udemy, data scientists generally belong to one of three career tracks:
Insights: Focused on analytics, data visualization, A/B testing, and stakeholder partnership.
Inference: Focused on causal or statistical inference for interpretation of data.
Algorithms: Focused on machine learning and building production data products.
Specifically, Udemy Business is a SaaS offering that provides employees of companies with access to a specially curated collection of business-relevant and technical courses delivered through the Udemy platform. In this role, you will collaborate with product managers, marketers, designers, and engineers to guide product decision-making through a combination of metrics and reporting, data analysis, data visualization, and experimentation design. 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.
Relevant questions
What are the right metrics for measuring the employee learning experience for Udemy’s enterprise product?
What dashboards and tools can Udemy build to provide actionable insights for enterprise clients?
How should we measure the impact of new feature launches for the enterprise product?
How can the Udemy Business product drive outcomes for business clients?
Responsibilities
Influence prioritization and key business decisions through data-driven insights
Serve as a subject matter expert and help drive the data science roadmap in your business or product domain
Define metrics and build operational dashboards to track business and product health
Design and analyze randomized controlled experiments
Develop robust data pipelines and continuously improve the quality and accessibility of data
Build Udemy’s technical brand through talks, blog posts, and publications
Provide mentorship for junior team members
Take responsibility for leading major team initiatives
Qualifications
7+ years of relevant hands-on experience in product or business analytics roles
Demonstrated track record leading major team projects in prior roles
Ability to communicate effectively with both technical and non-technical stakeholders
Strong business intuition and judgment
Exceptional data storytelling and data visualization ability
Broad knowledge of applied statistics and experimental design
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Experience building automated big data pipelines using tools like Spark, Airflow, and dbt.
Ability and willingness to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
Locations
Boston, MA (preferred)
Remote (East Coast), US
Dublin, Ireland
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.
About Udemy
At Udemy, we’re all about improving lives through the power of learning. We are a leading global learning company and one of the world’s largest education platforms with more than 54 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals. Talented people are everywhere, but opportunities can be hard to come by. That’s why we’re focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by empowering our learners, our instructors, and businesses around the world.
We are proud to be recognized for our world-class employee experience. Learn more about our Great Place to Work certification here and find out what it's like to work at Udemy on our blog.
Udemy is headquartered in San Francisco with global offices in the US, Turkey, Ireland, Australia, India, and Brazil. Learn more on our company page.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. We will consider for employment qualified applicants with arrest and conviction records.
Udemy Benefits:
Eligibility: Regular, full-time employees are eligible for Udemy’s benefit programs.
Health Plans: Medical, dental, and vision coverage (100% coverage for employee-only).
HSA/FSA/Commuter: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.
Life/Disability: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.
Retirement: Access to 401(k) with annual employer contribution.
Wellbeing: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.
Education: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.
Charitable Matching Program: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.
Vacation: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.
Parental Leave: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.
Holidays: 11 paid holidays throughout the year
#LI-ST1
#LI-hybrid
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Senior Data Scientist Deep Learning | Udemy |
Udemy is looking for a data scientist to join our new team focused on exploring novel applications of deep learning and foundational models (e.g., GPT-3, OPT-175B, BLOOM) to improve the learning experience. In this role, you will build products that leverage deep learning. You will work as part of a cross-functional agile team that includes software engineers, machine learning engineers, data scientists, designers, and product managers. Success in this role requires a combination of product intuition, data analysis skills, deep learning knowledge, and the coding chops to dive head first into development on production systems.
We are passionate about learning, making an impact, and building with quality. We love taking on new technical challenges. We are interested in building a diverse, collaborative, and fun environment. Come help us improve lives through learning!
Responsibilities
Collaborate with PMs, designers, and engineers to scope and build data products.
Perform statistical analysis, feature engineering, and model development for ML-based data products.
Develop production-grade data pipelines to power ML-based data products.
Develop key metrics and monitor performance of the products.
Design and analyze experiments.
Proactively influence product prioritization through data-driven insights.
Provide technical mentorship for other team members.
Build Udemy’s technical brand through talks, blog posts, and publications.
Qualifications
2+ years of experience building complex data products
3+ years of hands-on industry experience in a data science-oriented role
Ability to communicate effectively with non-technical stakeholders
Strong knowledge of statistics, machine learning, and natural language processing
Proficiency with SQL and 1+ programming languages (e.g., Python or Scala)
Preferred, but not required
Familiarity with standard software engineering practices and distributed computing
Experience using big data technologies (e.g., Hadoop, Spark)
We understand that not everyone will match each and every one of the above qualifications. 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.
Minimum Salary Expectations: 125,000
About Udemy
At Udemy, we’re all about improving lives through the power of learning. We are a leading global learning company and one of the world’s largest education platforms with more than 54 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals. Talented people are everywhere, but opportunities can be hard to come by. That’s why we’re focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by empowering our learners, our instructors, and businesses around the world.
We are proud to be recognized for our world-class employee experience. Learn more about our Great Place to Work certification here and find out what it's like to work at Udemy on our blog.
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At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. We will consider for employment qualified applicants with arrest and conviction records.
Udemy Benefits:
Eligibility: Regular, full-time employees are eligible for Udemy’s benefit programs.
Health Plans: Medical, dental, and vision coverage (100% coverage for employee-only).
HSA/FSA/Commuter: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.
Life/Disability: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.
Retirement: Access to 401(k) with annual employer contribution.
Wellbeing: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.
Education: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.
Charitable Matching Program: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.
Vacation: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.
Parental Leave: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.
Holidays: 11 paid holidays throughout the year
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Arity Data Scientist Lead Consultant | 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.
Job Summary:
This role is responsible for leading the use of data to make decisions. This includes: the development and recommendation of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of new business problems that can be solved through the use of machine learning/predictive modeling. The role is responsible for assisting in the recruitment, selection, mentorship and development of junior data scientists. This role will also begin to manage projects of medium to high complexity.
Key Responsibilities:
• Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
• Reviews, evaluates, communicates and makes recommendation on appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems.
• Collaborates with outside business units and works on data and complex business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Effectively understand the business' problems and requirements to identify the optimal modeling approach. Develops frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions.
• Identifies languages and tools that can bring efficiencies or needed techniques to the team. Identifies new areas of data, research and models and develops data sources that can solve business problems.
• Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks, manage scope of projects, and ensure deadlines are kept. Manages various analytical and modeling projects with small number of team members.
• Mentors and develops others
Supervisory Responsibilities:
This job does not have supervisory duties.
Education and Experience:
Master’s or PhD
5 or more years of related experience
Certificates, Licenses, Registrations:
• None
Functional Skills:
• Proven experience in managing and manipulating large, complex datasets and ability to analyze and interpret moderate to complex concepts• Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise • Demonstrated Analytic Agility and ability to quickly learn and switch topics• Ability to use and learn a wide variety of tools and languages to achieve results • Proven ability to code and develop prototypes in languages such as Python, Spark• Ability to lead a project team of various skills levels • Ability to manage a wide range of loosely defined moderate to complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable• Ability to train, develop, and teach more junior modelers• Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making• Experience with advanced system programing• Experience in working with implementations of TensorFlow, Neural Networks, NLP
Notes:
The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.
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.
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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.
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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 Scientist Intern | Allstate B2C96264 98Bd 481E Aaa7 B84C96Ec77Be |
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 Analytics Team
At Arity, our Data Science team is at the core of helping us transform mobility. We not only know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties; we are passionate about how it affects the end-users of our products. On our team people get the opportunity to build scalable distributed data pipelines, develop and deploy an array of machine learning algorithms, and create eye-opening data visualizations. We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experience designers in development teams to create innovative products to make transportation smarter, safer, and more useful for everyone.
Job Description
This is a Summer 2023 internship for students currently enrolled in a degree program. This role is responsible for the use and development of data infrastructure projects and proof of concept business solutions for users in Analytics and Data Science. This person partners with Data Scientists and Analytic Engineers to provide tactical solutions. This is a highly dynamic position that requires a great degree of flexibility, analytic agility and the ability to rapidly adapt to changing business requirements/needs, new technologies and data sources. This role requires close integration and partnership with the business and Data Science team, and requires business acumen in order to output the best technical solutions.
Uses best practices, with limited coaching, to develop machine learning and computer vision techniques to build models that address business needs
Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept
Uses and learns a wide variety of tools and languages to achieve results (e.g., R, Python, Spark, SQL)
Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
Innovates on projects by using new modeling techniques, computer vision techniques or tools
Executes on modeling/machine learning projects effectively
Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership
Job Qualifications
Target Start date: May/June 2023
Currently pursuing a degree in a quantitative field (e.g. mathematics, statistics, computer or physical science)
Pursuit of a graduate degree strongly preferred
Ability to solve problems, think critically, and communicate clearly
Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data mining
Experience with programming
An understanding of algorithmic scaling and complexity a plus
Experience with big-data tools (Ex. Spark) a plus
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
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