I’m ready to bring a high-performing recent Computer Science graduate onto my team for a full-time, fully remote role building and integrating analytics models. Your focus will be customer data, and your first challenge is to produce predictive analytics that help us anticipate behaviour and drive smarter product decisions. Day to day you’ll be coding in Python, shaping data pipelines with tools such as Pandas, SQL, or Snowflake, and exposing your work through light-weight REST or GraphQL APIs so it slots cleanly into our existing SaaS platform. I value strong academic results over workplace experience, so show me a standout GPA, clear reasoning, and solid knowledge of ML fundamentals. Deliverables for the initial month • A containerised predictive model trained on anonymised customer data, with evaluation metrics that demonstrate real lift. • Seamless integration of that service into our staging environment, complete with documented endpoints and unit tests. • A brief technical report explaining feature engineering choices and performance results. If you can commit to a 40-hour work-week, write clean, well-tested Python, and are eager to grow quickly in AI, I’d like to onboard you within days.