Build, deploy, and maintain predictive and prescriptive models that solve real-world business challenges such as customer churn, subscription health, and purchase propensity.
Transform complex data into actionable insights, develop features and training datasets within Snowflake and dbt, and use Python and SQL for feature engineering and machine learning.
Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver impactful solutions.
The client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.
Lead and build a Marketing Data Science team, setting strategy and roadmap for MMM, geo-testing, and incrementality models.
Design and execute statistical analyses to quantify marketing ROI and deliver actionable insights for business objectives.
Collaborate with cross-functional teams to integrate data science into product roadmaps and executive decision-making.
Pinterest is a visual discovery platform where millions of people find creative ideas and plan for memories. As a publicly traded company with a global workforce, it fosters a culture of inclusion, innovation, and flexibility.
Deliver novel and impactful insights for client organizations using machine learning and AI technologies.
Work closely with Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals.
Doximity is the leading clinical AI company with the largest network of U.S. clinicians, trusted by over 85% of physicians and 300+ health systems. The company values curiosity, ownership, inclusion, and making a meaningful impact in healthcare.
Develop and automate analytical workflows using Python and R, managed via GitHub.
Design and maintain dashboards in Tableau for key business metrics across Credit, Operations, Marketing, and Finance.
Conduct ad hoc analyses to answer strategic questions and present findings to leadership.
Happy Money is a consumer finance company that provides simple, transparent loans funded by trusted financial institutions. They have originated over $6.5 billion in loans and operate as a fully distributed remote workforce.
Lead the machine learning strategy and execution to improve patient outcomes.
Collaborate with tech, clinical, and operations teams to implement clinical interventions.
Build predictive models, set up analytics data models in DBT, and analyze clinical and operational data.
Oasis Health Partners is an all-in-one partner for independent primary care practices, focusing on Medicare value-based care programs and surrounding practices with practical support. The company is building a fast-growing network of independent PCPs and IPAs, backed by leading healthcare investors and scaling into new markets.
Own ambiguous, high-impact problem spaces across product and business domains, from question framing to implementation with cross-functional partners.
Design and evaluate experiments to measure the impact of product changes and uncover root causes of metric movements.
Develop tools, methodologies, and frameworks to enhance data-driven decision making across the company.
Quora operates two platforms: Quora, a global knowledge sharing platform, and Poe, a platform for chatting with various AI language models. They have a global team with a culture of transparency, experimentation, and collaboration.
Lead the analytical strategy to improve member and provider experiences within Spring Practice, leveraging AI and predictive modeling.
Drive rapid experimentation with a focus on quasi-experimental methods, validate improvements, and provide clear recommendations.
Act as an embedded technical leader, partnering with product and design teams to define success metrics and ensure data-driven decision-making.
Spring Health is a global mental health company on a mission to eliminate every barrier to mental health, offering an AI-native platform for personalized care. The company reaches over 170 million people worldwide and fosters a culture of innovation, inclusivity, and data-driven collaboration.
Analyze network trends and leverage predictive modeling to generate strategic insights for the Customer Care team.
Communicate complex findings through clear narratives and visualizations to non-technical stakeholders.
Maintain dashboards and collaborate with cross-functional teams to optimize customer experience and revenue.
They power the future of the home services industry, connecting homeowners with skilled pros. They are a global company with 9 brands in 8 countries and employees worldwide, valuing diversity and innovation.
Use statistical models and machine learning to analyze retention, churn, and customer lifetime value.
Collaborate with cross-functional teams including software engineers and product leaders to implement data-driven solutions.
Retrieve and manipulate large structured and unstructured data from various sources for analysis.
Mercury Insurance is an insurance company that helps people reduce risk and overcome unexpected events. They have been in business for over 60 years and are recognized as one of America's Best Midsize Employers, fostering a culture of teamwork and inclusion.
Maintain and run recurring data processes, including GPAL, survey weighting, and model updates.
Build and improve statistical and predictive models using cloud-based datasets and AI tools.
Partner with Engineering and other teams to automate workflows and deliver insights.
Polco runs critical local government performance databases, including GPAL, which serves as a 'Bloomberg Terminal' for local government performance. The company serves roughly 400 premier US local governments across 50 states with a mission-driven culture.
Own well-scoped, impactful problem spaces across product and business domains, from framing the question to implementing solutions.
Design and evaluate experiments to measure the impact of product and strategic changes.
Analyze data to uncover root causes of metric movements and inform product decisions with cross-functional partners.
Quora operates two platforms: a global knowledge sharing platform and Poe, an AI chatbot platform. They have a culture rooted in transparency, idea-sharing, and experimentation with high-performing global teams.
Work with a cross-functional team to advance algorithmic pricing across the business.
Iteratively design a system that establishes foundational signals of supply, demand, and willingness-to-pay.
Build interpretability into the system so that price changes are explainable and consistently actioned.
PatientPoint is a leading digital health company that transforms the healthcare experience through behavior-changing content. It is the nation's largest digital network in 30,000 physician offices, with a purpose-driven culture.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
Play a key role in creating both product and client-facing analytics and inform data team strategy.
Collaborate with product managers, analysts, and developers to define and lead data projects from ingestion to analysis to recommendations.
Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Trusted by over 85% of U.S. physicians and 300+ health systems, they value curiosity, ownership, inclusion, and making a meaningful impact.
Create reports and analytics to support business needs and drive insights.
Work with cross-functional teams to address divisional issues and generate actionable tools.
Analyze complex business problems using internal and external data to provide insights to decision-makers.
HCSC is dedicated to expanding access to high-quality, cost-effective health care and equipping our members with tools to make the best health decisions. As an industry leader for over 80 years, we offer careers that encourage resourcefulness and strategic thought to make a difference in our communities.
Own commercial data products end-to-end, from methodology development and product QA to feature design and ongoing evolution.
Investigate complex data quality issues and build scalable monitoring, validation, and QA frameworks to improve quality while reducing manual effort.
Partner with Product Managers, Data Science, and Central Data to shape product evolution, evaluate new datasets, and turn customer feedback into durable improvements.
YipitData is the leading market research and analytics firm for the disruptive economy, using proprietary technology to analyze billions of alternative data points. We operate globally with offices in the US, APAC, and India, and our award-winning, people-centric culture emphasizes transparency, ownership, and continuous mastery, recognized by Inc. as a Best Workplace for three consecutive years.
Develop statistical and predictive models for credit-risk indicators, including delinquency and credit losses.
Perform exploratory data analysis and model versioning, backtesting, and performance monitoring.
Collaborate with business and technology stakeholders to translate complex problems into analytical solutions.
The company operates at the intersection of data science, financial analytics, and credit risk management. It fosters a culture of continuous improvement, rigorous analysis, collaboration, and innovation.