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.
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.
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.
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 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.
Develop and deploy statistical and machine learning solutions for a major U.S.-based e-commerce retailer.
Collaborate with project leadership, data specialists, and engineering teams to translate business challenges into analytical models.
Drive end-to-end data science projects from data exploration and feature engineering through predictive modeling and production deployment.
The company is a technology consultancy that delivers data science and machine learning solutions to clients. It is a growing, fully remote organization that values continuous learning and professional growth.
Own and evolve the metrics tree, validate metrics, and write clear specs for Data Engineering.
Conduct ad-hoc investigations into metric fluctuations, find bottlenecks, and validate product hypotheses.
Design and analyze A/B tests, deliver actionable recommendations, and maintain the test archive.
Social Discovery Group builds social entertainment platforms that connect people across cultures, aiming to solve loneliness and disconnection. The company is an international remote team of digital nomads, a two-time 'Great Place to Work' winner, and ranked Top-5 for work-from-anywhere jobs.
Own and evolve the product metrics tree, ensuring consistent definitions and alignment with the north-star metric.
Design and analyze A/B tests from experiment setup through statistical validation and actionable recommendations.
Partner with product and functional leads to investigate anomalies, identify growth opportunities, and translate data into strategic insights.
The partner company leverages data to drive product growth and decisions. It maintains a collaborative, remote-first culture with a focus on metrics and experimentation.
Own analytics and AI workstreams for next-best-action and field education capabilities, translating integrated data into actionable recommendations.
Develop interpretable machine learning, statistical, and generative AI solutions using structured and unstructured clinical, laboratory, commercial, and enterprise data.
Collaborate with data and application engineers on pipelines, version control, testing, and deployment, while documenting data lineage and limitations.
CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Every employee contributes to innovations that transform patient care, supported by a culture of curiosity, accountability, and transparency.
Own the post-purchase customer experience with a focus on activation, matching, and personalized recommendations.
Optimize offer volume and recommendation quality using data, research, and experimentation.
Collaborate with engineering, design, and data/ML teams to launch impactful product improvements.
This partner company focuses on discovery-driven products that connect users with relevant opportunities through matching and recommendation systems. It operates as a fully remote, internationally distributed team in a fast-moving product environment.
Apply expertise in quantitative analysis and data mining to understand user interactions and inform product strategy.
Guide product teams to measure what matters and run A/B experiments for continuous improvement.
Partner with finance to build a unified understanding of user lifetime value and product profitability.
Monzo is a digital bank on a mission to make money work for everyone, offering bank accounts, savings, investments, and pensions. With over 4.5 million UK customers and rapid growth, Monzo has an inclusive, data-driven culture that values customer delight and employee empowerment.
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.
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.
Analyze the performance of e-commerce products and full user journeys from ad exposure to purchase.
Define and monitor key metrics to identify conversion barriers and revenue opportunities.
Build dashboards, reports, and A/B tests to support product optimization and business recommendations.
Software Mind develops impactful solutions for companies worldwide, working with tech giants and unicorns on transformative projects. The company builds cross-functional engineering teams and fosters a culture of openness, respect, grit, and enjoyment.
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.
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.
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.
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 and operate production ML systems for recommendations, ranking, and personalized action selection across Stripe's Growth Platform.
Improve contextual bandit and policy-learning approaches, including exploration, reward design, and adaptive user feedback.
Develop reliable data and feature pipelines, reusable tooling, and online experiments to drive measurable business outcomes.
Stripe is a financial infrastructure platform for businesses of all sizes, enabling payments and revenue growth. With millions of companies as customers, Stripe fosters a culture of passion, grit, and integrity while working to increase the GDP of the internet.
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.