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.
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.
Partner with customers and internal teams to translate marketing measurement questions into data science problems.
Analyze model and experiment results, investigate unexpected outcomes, and identify data, modeling, or measurement issues.
Translate complex statistical and modeling results into clear insights and actionable recommendations.
Northbeam builds an advanced marketing intelligence platform for eCommerce brands, using attribution modeling and customizable dashboards. The company is growing rapidly with a strong product-market fit and a remote-friendly, collaborative culture.
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.
Build and deploy production-ready ML solutions using classical ML and statistical methods.
Own ML projects end-to-end from data pipelines and modelling to deployment and monitoring.
Work with engineers and product managers to turn business problems into practical ML and GenAI solutions.
Sport Alliance develops software solutions for fitness businesses, powering products like Magicline and PerfectGym Next used by thousands of gyms and millions of members. You'll join a collaborative team with flexible work arrangements and a focus on practical ML innovation.
Apply machine learning and AI to analyze large datasets and improve user experiences for new and returning users.
Lead data projects, providing insights and recommendations for data-driven decisions that drive recommendation systems.
Collaborate with cross-functional teams to build pipelines, tools, and evaluate experimental designs for business impact.
Tubi is a free streaming service that offers Hollywood movies, TV shows, and original content, entertaining over 100 million monthly active users. Headquartered in San Francisco and founded in 2014, it is part of Tubi Media Group, a division of Fox Corporation, with a culture focused on innovation and inclusivity.
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.
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.
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.
Build Boulevard’s product data foundation, designing models and tech stack to translate raw data into analysis-ready assets in partnership with data engineering.
Partner with product managers to develop data-driven recommendations through engaging narratives, data storytelling, and visualizations tailored to all levels of the organization.
Own the experimentation practice end-to-end, from designing tests with clear hypotheses and metrics to running analysis and delivering defensible impact readouts.
Boulevard provides the first and only client experience platform for appointment-based, self-care businesses, empowering salons, spas, and medspas to manage scheduling, payments, marketing, and client relationships. With over 5,000 businesses processing $5 billion in payments annually and $188M in funding, we value curiosity, experimentation, and diversity, and we are growing fast as we expand upmarket.
Develop and maintain machine-learning models across the full data science lifecycle.
Collaborate with ML engineers to deploy scalable supervised and unsupervised learning algorithms.
Design and run A/B tests to validate hypotheses and measure business impact.
The company operates in programmatic advertising, building machine-learning models that process terabytes of data and support billions of real-time advertising requests worldwide. It is a diverse, globally distributed team that values simplicity, collaboration, and practical impact.
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.
Partner with PED and business units to drive analytics initiatives and understand user engagement.
Develop measurement frameworks, design experiments, and analyze user behavior in a two-sided marketplace.
Communicate insights to stakeholders and align cross-functional priorities on analytical roadmaps.
Peerspace is a leading online marketplace for venue rentals for meetings, productions, and events. With over $500M transacted and investors including GV, the company fosters an inclusive culture and values cross-functional collaboration.
Design, develop, and implement data science, statistical modeling, and machine learning solutions.
Analyze large, complex datasets to identify trends, patterns, and actionable insights.
Build dashboards and visualizations using Power BI and Tableau, and communicate findings to technical and non-technical audiences.
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA, supporting public sector agencies and commercial enterprises globally. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results.
Research, prototype, evaluate, and scale data-driven approaches to improve population health and healthcare delivery.
Collaborate with analytics, clinical, and strategy teams to translate complex healthcare data into actionable insights.
Apply statistical, epidemiologic, and data science techniques to evaluate programs and influence enterprise strategies.
The company leverages advanced analytics and research to improve healthcare delivery, population health, and medical cost outcomes. It fosters a multidisciplinary, collaborative environment with data scientists, clinicians, and strategy teams, though specific company size and culture are not disclosed.
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.
Translate digital event data (web/app) into user behavior models;
Develop exploratory and advanced analyses to identify patterns, journeys, and friction points;
Design and scale machine learning and AI models for behavior and personalization.
CI&T helps large companies transform the potential of AI into real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across 25 countries, we foster a collaborative culture that prioritizes inclusion and well-being.
Lead the Independent Agency Data Science team, overseeing Quote Efficiency models and emerging opportunities to enhance agent and customer experience.
Collaborate with cross-functional teams to design and deploy AI/ML solutions that improve sales and operational efficiency.
Manage and develop a team of 7-10 data scientists, setting goals and promoting growth and diverse perspectives.
Liberty Mutual is a global insurer providing property and casualty insurance. It employs tens of thousands globally and fosters an inclusive, supportive culture focused on employee well-being and professional development.
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.
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.