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.
Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation.
Own projects end-to-end across search, AI, instant answers, and revenue optimization.
Build monitoring pipelines, evaluation datasets, and trigger systems that balance quality and privacy.
DuckDuckGo is an online protection company raising the standard of trust online through private search, browser, and AI products. Founded in 2008 and profitable since 2014, the remote-first team of 300+ emphasizes trust, inclusivity, and empowered project management.
Lead hands-on data science to turn revenue opportunities into production ML systems.
Apply causal inference, experimentation, and advanced analytics to guide product decisions.
Mentor data scientists and set technical best practices in a collaborative, remote-first environment.
This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.
Lead the development and execution of data science and analytics initiatives that support strategic and tactical business objectives.
Transform large volumes of structured and unstructured data into meaningful insights, analytical solutions, and business recommendations.
Manage and mentor data science professionals while fostering collaboration, innovation, and continuous development.
CenterWell is a healthcare company that leverages data and analytics to improve consumer experiences and business performance. It fosters a collaborative, innovative culture with a focus on professional growth and continuous development.
Develop machine learning algorithms for device identification using noisy, unlabeled data.
Design supervised, semi-supervised, and unsupervised ML approaches.
Own projects from research through deployment to real-time services.
This partner company develops a high-volume, real-time identification platform for browsers and devices. It prioritizes engineering excellence and data-driven decisions, with a globally distributed team of specialists.
Design, develop, and scale machine learning models and advanced analytics solutions to improve healthcare provider data quality and generate network insights.
Apply statistical modeling, predictive analytics, NLP, and anomaly detection to solve complex, open-ended business problems.
Partner with Engineering to productionize models, use LLM tools, and translate findings into clear business value for stakeholders.
Quest Analytics provides healthcare provider network management tools, with models and insights that improve the accuracy, adequacy, and accessibility of healthcare provider networks. For more than 20 years, 90% of America's health plans have used their solutions, and they foster an entrepreneurial culture with workplace flexibility.
Design and implement mathematical models to drive key product goals, including subscription prediction and article recommendations.
Lead hands-on analysis and modeling projects, choosing the right analytical method for each problem.
Develop data science pipelines in production and guide experiments to improve the product.
The Athletic is a sports media company that delivers comprehensive coverage of professional and college teams across North America and the English Premier League. With a newsroom of 500+ full-time staff, it provides in-depth storytelling and fosters a data-driven, collaborative culture.
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.
Lead deep investigations into revenue opportunities and production ML systems for personalization, experimentation, and automation.
Partner with Product, Engineering, and Data teams to integrate ML features and ensure their performance is measured.
Mentor data scientists and drive best practices for advanced analytics and ML development.
Life360 is a mobile app and device company helping families protect loved ones, pets, and valuables via location sharing and safety features. With over 102 million users and 500+ remote-first employees, its culture is mission-driven and AI-native.
Own data products end-to-end, driving success through accuracy, client value, and efficiency.
Work with massive datasets to answer key client questions and develop deep expertise in proprietary methods.
Use AI and tooling to drive leverage, automating workflows and validating AI-generated outputs.
YipitData is a market research and analytics firm that helps investment funds and Fortune 500 companies understand company performance and market trends. With offices in the US, APAC, and India, the company is recognized as a Best Workplace for three consecutive years, fostering a culture of transparency, ownership, and continuous learning.
Build and own training pipelines for ML models, including data prep, fine-tuning, and experiment tracking.
Develop inference and serving layer with model gateway, routing, caching, and cost optimization.
Own release path for model-layer artifacts with canary deployments and monitoring for regressions.
Horizon3 is a fast-growing cybersecurity company that provides autonomous pentesting through its NodeZero platform. The team is a fusion of former special operations cyber operators, startup engineers, and cybersecurity practitioners, fostering a culture of respect, collaboration, and ownership.
Lead design and deployment of enterprise-scale AI and data solutions.
Architect LLM and agentic AI workflows using frameworks like LangChain and n8n.
Partner with teams to deliver secure, compliant, and innovative solutions.
U.S. Financial Technology operates the largest mortgage securitization platform in the world, supporting Fannie Mae and Freddie Mac's Uniform Mortgage-Backed Security. The company supports 70% of mortgage-backed securities and combines financial services expertise with leading technologists.
Build cutting-edge personalization technology using deep learning and machine learning.
Partner across teams to improve ML models for Homefeed, Ads, Growth, Shopping, and Search.
Use data-driven methods and LLMs to enhance content understanding and candidate retrieval.
Pinterest is a visual discovery platform where millions of people find creative ideas and plan for memories. Its culture emphasizes inclusion, flexibility, and innovation, and it values bringing everyone the inspiration to create a life they love.
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.
Build machine learning models for classification and information extraction in healthcare.
Analyze complex healthcare data to improve existing models and implement new solutions.
Collaborate with engineering to deploy ML models into production and explore LLM solutions.
Reveleer provides a unified platform for risk adjustment, quality improvement, and clinical intelligence in value-based care. Trusted by 80+ health plans and provider organizations, it integrates data, analytics, and AI-driven automation with a focus on transparency and human oversight.
Own data strategy and execution for client deliverables in new sectors, driving accuracy, value, and efficiency.
Investigate and resolve data quality issues, implementing scalable fixes and maintaining workflows.
Operate as a player-coach, mentoring analysts and partnering cross-functionally with Data, Insights, Revenue, and Engineering teams.
YipitData is the leading market research and analytics firm for the disruptive economy, providing actionable insights from billions of alternative data points. With a valuation over $1B and a people-centric culture recognized as a Best Workplace for three consecutive years, the company operates globally across the US, APAC, and India.
Lead the team in roadmapping and executing machine learning features and products.
Improve team pace through technical expertise and pragmatic tradeoffs.
Drive recruiting, reliability, and growth of team members.
Hightouch helps companies sync data into their SaaS systems to automate and improve operations. They are a remote-first company with hundreds of customers and a culture focused on engineering excellence.
Develop and evaluate quantitative models for advertising bidding, pacing, and budgeting.
Collaborate with senior scientists and engineers to translate marketplace questions into algorithms.
Implement, validate, and improve production systems for real-time decision-making.
Jobgether is an AI-powered job matching platform that connects candidates with opportunities. They use technology to streamline recruitment, but the hiring company for this role is a partner company in the advertising technology sector.
Own the end-to-end Databricks data lake, dbt models, medallion layers, and data quality monitoring.
Build AI data infrastructure including embedding pipelines, vector stores, and feature stores.
Develop and maintain cloud databases, optimize analytics dashboards, and collaborate with cross-functional teams.
Quandri builds an AI operating system to transform insurance for North American agencies and brokerages. The company is a fast-growing startup recognized by LinkedIn and Deloitte, with a culture centered on ownership, curiosity, and execution.
Gather business requirements and apply trend analysis to identify actionable insights using analytic tools and healthcare claims data.
Develop, fine-tune, and implement large language models (LLMs) and deep learning models for anomaly detection and automated analysis.
Build visualizations and dashboards in Tableau to communicate findings and support business workflows.
Cohere Health is a healthcare technology company that uses data science to improve clinical outcomes and reduce costs. The company operates remotely with a focus on innovation and collaboration, employing a team of data scientists and engineers dedicated to transforming healthcare data into actionable insights.