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.
Build machine learning models that route auto insurance shoppers to the right carrier and optimize media buying to ROAS.
Own the full lifecycle from framing business problems and sourcing data to deployment and monitoring, working with an ML engineer on production.
Handle late labels, sparse sessions, repeat users, and market drift while automating marketplace bidding at scale.
Launch Potato is a discovery and conversion company that connects consumers with finance, travel, and entertainment brands through properties like FinanceBuzz and All About Cookies. The company is profitable and bootstrapped, with a remote-first team across 18 countries and a culture that values ownership, impact, and direct feedback.
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.
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 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.