Design, build, and deploy predictive models that improve learner outcomes and product performance.
Develop, own, and continuously improve end-to-end data science workflows.
Partner closely with product, engineering, research, and leadership to translate ambiguous questions into data science solutions
CareerVillage is a fast-scaling tech nonprofit at the intersection of education, equity, and technology. They believe everyone deserves access to high-quality career guidance and have built an AI-powered career navigation tool. Their flagship crowdsourcing platform supports millions of learners.
Perform comprehensive evaluations of data assets across the full credit and fraud lifecycle, ensuring strong regulatory compliance and risk governance.
Conduct rigorous benchmarking and champion/challenger analyses to compare external data assets against internal attributes, scores, and predictive models, ensuring measurable lift, ROI and benefits.
Develop advanced machine learning solutions and algorithms to solve complex analytical challenges.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries.
Build predictive models to understand drivers of member retention, churn, reactivation, and LTV.
Lead the design, implementation, and analysis of A/B tests and other experiments.
Develop dashboards and reporting tools to visualize membership funnel KPIs, cohort performance, and the impact of product/business changes on member outcomes.
Oura's mission is to empower every person to own their inner potential. They provide daily insights and practical steps to inspire healthy lifestyles through their Oura Ring and connected app, helping millions understand and improve their health. As a quickly growing company, they ensure that team members have what they need to do their best work — both in and out of the office.
Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
Reddit is a community of communities built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Apply statistical analysis and machine learning techniques to uncover insights and build predictive models.
Investigate data trends, patterns, and anomalies, and assist in diagnosing issues.
Access, clean, and transform large raw datasets to prepare them for modeling and analysis.
Super.com aims to help maximize the lives of both their customers and their team. They are a fast-paced, high-growth tech company that cares about its people and takes career progression seriously.
Complete exploratory data analysis and hypothesis testing.
Translate ambiguous business problems into clearly defined modeling challenges.
Design, build, and validate statistical, predictive, and machine learning models.
Buyers Edge Platform is revolutionizing the food service industry through technology, purchasing power and partnerships. They are one of the largest players in food service, with over 200K operator locations across North America and over $50 billion of aggregated spend volume.
Design analytical frameworks and models that inform pricing strategy.
Build and deploy production-ready ML models for price prediction.
Establish experimentation standards by designing A/B tests.
Jobgether is a company using AI-powered matching process to ensure application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Build tools, models, and frameworks that push our understanding of what our paying subscribers care about.
Define measurement frameworks and build tools and dashboards to measure impact of initiatives across acquisition, engagement, and retention.
Work closely with team leads on the Data and Consumer Revenue teams to understand problems, discuss approaches, and make decisions about approaches and tradeoffs.
Vox Media is committed to building an inclusive environment where everyone can show up as their authentic selves and create their best work. They recognize that great stories, platforms, products and services come from people with all manner of backgrounds and experiences.
Work with large, messy, and complex data sets using analytical, statistical, ML, and AI approaches.
Collaborate with Data and Analytic Engineers to improve data quality and generate reusable assets.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
Weedmaps is a global leader in the cannabis industry, dedicated to transparency, education, and community. Founded in 2008, Weedmaps fosters a bustling and collaborative culture that focuses on the benefits of weed and the community that supports it.
Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution.
Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products.
Maximize Signal for Predictive Performance: Define the strategy for new signal sources.
Reddit is a community of communities built on shared interests and trust, fostering open conversations. With over 100,000 active communities and approximately 116 million daily active unique visitors, Reddit is a significant source of information.
Design, develop, and deploy machine learning models to solve complex business problems in the AdTech domain
Analyze large datasets to generate actionable insights and improve product performance
Build and maintain scalable data pipelines using big data tools and frameworks
Sigma Software brings together talented professionals to deliver high-load, data-driven platforms for global clients. They value expertise, listen to their employees' voices, and empower career growth.
Be the dedicated data science partner to the Consolidation product team, owning the analytics and modeling that power product-led growth across onboarding, activation, and full consolidation.
Design and analyze rigorous product experiments across the client journey, from first funding through to full asset consolidation, using A/B testing, non-inferiority tests, and other causal inference methods to measure the impact of product changes on key growth metrics.
Develop deep product analytics to understand how clients move through the consolidation funnel, linking external accounts, reaching their first $5k, adopting multiple products, and identify where the biggest opportunities exist to accelerate that journey.
Wealthsimple helps everyone achieve financial freedom by reimagining what it means to manage your money. They are the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies
Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
Socure is building the identity trust infrastructure for the digital economy, verifying identities in real time and stopping fraud. They hire people who move fast, think critically, act like owners, and care about solving customer problems.
Design, build, and implement mathematical models to drive key long-term product goals.
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods.
Use quantitative analysis to deeply understand what our users are saying, and develop recommendations based on that analysis.
The Athletic brings sports fans the most comprehensive stories about the teams, sports, and athletes they love, powered by one of the largest global newsrooms in sports media. Their newsroom of 450+ full-time staff delivers in-depth coverage across North American markets and English Premier League, as well as many Championship clubs.
Own end-to-end marketing measurement across the customer lifecycle, performance marketing, and growth channels.
Design and evolve attribution and incrementality frameworks to drive efficient budget allocation and strategic decisions.
Drive the evolution from descriptive analytics to predictive and prescriptive data science, including models for LTV, CAC, churn, and forecasting.
Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. They are growing quickly, but deliberately, with a focus on building an inclusive culture.
Lead custom analytics and modeling engagements from scoping through delivery and ongoing support.
Develop credit strategies and ML models (underwriting, line assignment, pricing, early warning, collections).
Engineer features from alternative, transactional, and bureau data (e.g., recency, frequency, volatility, trend, and behavioral metrics).
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. As a FTSE 100 Index company listed on the London Stock Exchange, they have a team of 22,500 people across 32 countries.
Analyze user behavior, marketplace dynamics, and service provider performance to identify growth opportunities and areas for improvement.
Develop predictive models to enhance marketplace matching (e.g., home repair service providers to customers), pricing optimization, and user retention strategies.
Work cross-functionally to provide data-driven insights for feature enhancements, platform updates, and A/B testing initiatives.
Angi connects homeowners with reliable pros who have the skills they need, and connects pros with homeowners who have the jobs they want. Angi has 2,800 employees worldwide and is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit.
Collaborate with cross-functional teams and business units to understand and communicate Ion’s needs and goals.
Develop, improve, and maintain robust data pipelines for extracting and transforming data from log files and event streams.
Design models and algorithms to derive insights and metrics from large datasets.
Intuitive is a global leader in robotic-assisted surgery and minimally invasive care. Their technologies, like the da Vinci surgical system and Ion, have transformed how care is delivered for millions of patients worldwide. They are a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals.
Play a key role in creating both product and client-facing analytics.
Collaborate with a team of product managers, analysts, and other developers to define and lead data projects.
Doximity is transforming the healthcare industry by helping every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, they are committed to building diverse teams with an inclusive culture.
Lead hands-on development of EnableComp’s predictive intelligence platform.
Own ML model development for work prioritization, business insights, and strategic decisions.
Architect and build the platform before scaling a team.
EnableComp solves complex claims. With Complex Revenue Intelligence™ (CRI), they help hospitals recover $3 billion annually, recognized as Black Book’s #1 Specialty RCM provider and a Top Workplaces honoree, with a SOC 2 Type II and HITRUST e1-certified platform.