Source Job

Argentina

  • 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.

Python SQL Machine Learning Neural Networks AWS

5 jobs similar to Staff Data Scientist, Lead Generation

Jobs ranked by similarity.

Mexico

  • Own the models that decide which auto insurance carrier each shopper sees on our click wall, optimizing for conversions and ROAS.
  • Work end-to-end as an individual contributor: frame problems with the business, find data, build and validate models, then deploy and monitor them.
  • Handle production data challenges like late labels, sparse sessions, and market drift while collaborating with an ML engineer on the production side.

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. The company is profitable, bootstrapped, and operates with a remote-first team across 18 countries, anchored by a South Florida HQ.

$175,000–$200,000/yr
US

  • 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.

$4,000–$5,500/mo
Latin America

  • 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.

US

  • Build reliable data pipelines and analytical datasets to support decision-ready people analytics.
  • Develop robust dashboards and self-service analytics products for business leaders.
  • Conduct targeted research using predictive and AI-enabled methods to surface workforce insights.

Mercury Insurance provides insurance products to help people reduce risk and overcome unexpected events. With over 60 years of experience, the company fosters a collaborative and inclusive culture that values growth and diverse perspectives.

$164,000–$205,000/yr
US Unlimited PTO 12w maternity 12w paternity

  • 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.