Develop and implement data science strategies to enhance ML models for lead scoring, churn, pricing, personalization, and fraud detection.
Collaborate with engineering and business stakeholders to drive end-to-end data science initiatives from data to deployment.
Communicate findings clearly to technical and non-technical audiences for business impact.
Engine is an AI-native platform for intelligent travel, powering modern business travel with proprietary technology and supply. Serving 40,000+ customers and nearly 2 million travelers, it is recognized as a Best Place to Work with an ambitious, high-ownership culture.
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.
Communicate with business stakeholders to understand goals and frame ambiguous questions into well-posed modeling problems.
Build and deploy production-ready models, monitoring outputs and drift.
Translate model behavior and outputs into actionable guidance for technical and non-technical audiences.
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs. We deliver 24/7 virtual-first and in-home care alongside families, providers, and health plans.
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.
Lead data science initiatives on the Document, Accounting, Takeoffs and Pro Commerce tracks, defining key metrics and driving product strategy.
Design and analyze A/B tests and causal inference experiments, applying machine learning methods to deliver actionable insights.
Dig into complex datasets, translate findings into clear narratives and dashboards, and provide technical guidance to junior team members.
Houzz is the leading platform for home remodeling and design, providing an all-in-one software solution for industry professionals and tools for homeowners. It is a community-centric, innovative tech company with a mission-driven culture focused on making home renovation and design more productive for everyone.
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.
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.
Build credit scoring models, improve fraud detection, and design A/B tests for promotions.
Partner with product and operations teams to generate insights and drive decisions.
Take ownership of analytics projects from scoping to communicating findings to stakeholders.
Wave is building financial services to make Africa the first cashless continent, offering mobile money that works anywhere. With millions of users across 9 countries and a rapidly growing team, we foster autonomy and are backed by world-class investors.
Develop, deploy, and maintain predictive models for LTV, churn, and retention across mobile and web products.
Own the modeling roadmap from problem framing to production, including segmentation, propensity models, and experimentation.
Apply LLMs and machine learning to classify behavioral signals and build AI-powered analytics tools.
GoFasti is a Talent-as-a-Service company bridging world-class LatAm developers and designers with global companies. It values remote work, continuous learning, and strong communication in its talent.
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.
Architect automated ML systems and establish core infrastructure.
Translate ambiguous business needs into concrete technical roadmaps.
Drive end-to-end deployment of ML products with measurable business impact.
Hims & Hers is a leading health and wellness platform providing personalized care from diagnosis to treatment. The company is publicly traded on NYSE and fosters a flexible, remote-first culture with a focus on innovation and employee well-being.
Design, build, and maintain scalable real-time ML services for ranking and personalization.
Analyze user behavior and run A/B tests to improve product discovery and engagement.
Collaborate with engineers, data specialists, and business stakeholders to drive measurable outcomes.
The company is an AI-driven e-commerce platform that uses machine learning to power smarter search, discovery, and shopping experiences. It maintains a collaborative, remote-first culture that values ownership, inclusion, and meaningful impact.
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.
Independently build, test, and improve LLM, RAG, and tool-using agent workflows using maintainable, tested Python code.
Apply established evaluation frameworks to select technical approaches and diagnose retrieval misses, incorrect answers, and workflow failures.
Communicate findings and technical tradeoffs to engineering, product, and domain partners to support production reliability.
Definitive Healthcare turns data, analytics, and expertise into meaningful healthcare intelligence for smarter decisions. With over 2,400 customers globally and multiple workplace honors, it fosters a collaborative, inclusive culture.
Lead business-critical investigations across the customer journey, turning findings into actionable recommendations.
Analyze marketing channel performance, attribution, and incrementality to identify growth opportunities.
Design and evaluate A/B tests with Product and Growth teams using statistical and causal inference methods.
This partner company operates a global digital product used by more than 60 million people monthly. It maintains a collaborative, international, and innovation-driven culture with a lean, high-impact Data team.
Own and identify innovative strategies across the revenue waterfall to grow and recover revenue, backed by data insights from testing, simulations, and ML models.
Build talk tracks and narratives for client-facing teams to continuously optimize and grow existing partnerships.
Influence the product roadmap by testing optimization ideas and partnering with Product and Engineering to turn them into features.
Extend is revolutionizing the post-purchase experience for retailers by providing AI-driven solutions for customer service, returns, fulfillment, and fraud detection. The company works with over 1,000 merchant partners and is backed by prominent tech investors, with a collaborative and supportive remote-first culture.
Perform structured data analyses under senior guidance to extract actionable insights and solve key customer problems.
Assist in identifying customer problem sets, scoping solution requirements, and translating analytical workflows into reusable components.
Collaborate cross-functionally with stakeholders to execute data strategies and support process improvements.
Shift5 builds the data platform for onboard operational technology, delivering cybersecurity, predictive maintenance, and compliance for defense and commercial fleets. This fast-growing startup is committed to building an inclusive culture and seeks mission-aligned team members.
Partner with Sales, RevOps, and Finance to deliver insights for GTM strategy.
Build and productionize ML models like propensity, churn, and expansion using MLOps.
Run experiments and design agentic workflows to drive adoption and growth.
GitLab is the intelligent orchestration platform for DevSecOps, helping organizations ship better software faster. With over 50 million users and a remote-first culture, GitLab values innovation, AI adoption, and inclusivity.
Build machine learning models for fraud detection using multiple sources of evidence.
Analyze large-scale datasets to discover patterns, relationships, and new signals.
Collaborate with product, fraud experts, and data engineering to ship production-ready ML.
Mitek is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions, trusted by over 7,500 organizations worldwide. Headquartered in San Diego with operations globally, the company fosters a Virtual 1st culture with flexibility, collaboration, and a mission to 'Protect What's Real.'
Build the models that decide which carrier each auto insurance shopper sees, and own the media buying models held to ROAS.
Put carrier conversion data to work in production, handling sparse sessions, late labels, drift, and auction feedback loops.
Own models end to end from business framing to deployment and monitoring, starting with auto insurance and expanding to other verticals.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. It is bootstrapped and profitable, with a South Florida HQ and a remote-first team across 18 countries.