Lead development of production ML models for customer lifetime value, conversion, and recommendations.
Advance personalization and recommendation systems using Databricks and MLflow.
Establish best practices in ML including monitoring, experimentation, and mentoring.
NerdWallet's mission is to provide clarity for all of life's financial decisions. They are a growing, remote-first company with an inclusive and supportive team culture.
Partner deeply with Data Science and ML Engineering to turn ambiguous business problems into clear model objectives.
Own and prioritize the ML roadmap across verticals, balancing business impact and technical feasibility.
Define and monitor success criteria for model performance and business outcomes.
NerdWallet is a financial clarity platform that leverages machine learning to personalize consumer experiences. They are a remote-first company with a culture focused on balance, wellness, and diversity.
Shape machine learning strategy and governance across credit, fraud, marketing, and growth at Dave.
Build and improve credit models by balancing portfolio performance, profitability, and member outcomes.
Mentor scientists and advance responsible modeling with Legal, Compliance, and Risk partners.
Dave is a financial app building affordable, transparent financial products for Americans living paycheck to paycheck. It is a virtual-first fintech company with a member-centric, collaborative culture focused on leveling the financial playing field.
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 machine learning models to personalize the product and connect users with suitable insurance policies.
Collaborate with cross-functional stakeholders, write production code, and perform peer reviews.
Analyze product data, design experiments, and explore causal measurement and ML platform improvements.
The Zebra provides online tools and licensed agents to simplify car and home insurance shopping. The company has helped customers compare over 74 million quotes since 2012 and was named an Austin Business Journal's 2026 Best Place to Work, with a culture that values diversity and inclusion.
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.
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.
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.
Own the outcome from ambiguous customer problem to measurable impact, including building data when it doesn't exist and shipping models into real products.
Make the value legible by ensuring predictions are understandable, trustworthy, and actionable, and report realised impact back to the business.
Deliver end-to-end by operating deployment, testing, versioning, monitoring, and drift detection, and embed with product teams to put ML inside real workflows.
WorkWave provides AI-driven operational intelligence products that help businesses make better decisions and run their operations more efficiently. We foster a flexible, collaborative, and impact-driven culture focused on trust, inclusion, and delivering measurable customer outcomes.
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.
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.
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.
Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections.
Design and run experiments to optimise approval rates, loss rates, and profitability.
Partner with product squads to embed decision logic into real-time systems.
Moniepoint Inc. is Africa's all-in-one financial platform, helping 20 million businesses and individuals access payments, banking, credit, and business management tools. As Nigeria's largest merchant acquirer, it processes over $250 billion in annual transaction value, with a culture that prioritizes people and values every voice.
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 and commercialize advanced machine learning models for Women's Health features, focusing on time-series analysis and robust validation.
Lead complex projects and collaborate with cross-functional teams including scientists, product managers, and engineers.
Design rigorous statistical analyses for model performance and conduct exploratory research to translate ideas into scalable products.
Oura is a health technology company that creates the Oura Ring and connected app to help people gain deeper knowledge of their readiness, activity, and sleep quality. It is a quickly growing company focused on improving employee health and empowering its team to live healthier lives.
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.
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.
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.
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.
Own high-impact ranking models powering personalized feeds and digest emails.
Work across the full ML lifecycle, from data pipelines to production deployment.
Collaborate with a distributed engineering team on modern recommendation techniques.
They operate a large-scale knowledge-sharing platform. The company values autonomy, continuous learning, technical excellence, and thoughtful experimentation.