Data Scientist
Core
Build, evaluate, and productionize machine learning solutions for recommendations, personalization, customer modeling, and predictive modeling to solve real customer and commercial problems.
Role type
Senior IC applied data scientist
Builds
Production ML models and analytics pipelines for a B2C e-commerce gifting platform
Domain
B2C e-commerce, retail, digital platforms
Deliverable
production ML models
Required skills
supervised machine learning, feature engineering, model evaluation, Python, SQL, A/B testing design and analysis, version control (Git), software development practices, production ML workflows (via careerplan.io/jobs/fc3b9db9-906b-4586-bef3-6398a0d8c42c-data-scientist-at-moonpig)
Preferred skills
recommendation systems, personalization systems, customer modeling (propensity, uplift, CLV), LLMs/embeddings/generative AI, AWS, dbt, analytics engineering
Technologies
Python, SQL, AWS, Git, dbt, AI-assisted development tools
Responsibilities
Develop and evaluate ML models for recommendations, personalization, and predictive modeling; engineer features and compare modeling approaches; partner with stakeholders to translate business problems into analytical solutions; apply offline model evaluation and communicate performance/limitations; design and analyze A/B tests; develop solutions with production use in mind; monitor deployed solutions and investigate model behavior; write tested, modular, maintainable code; use AI-assisted tooling critically; contribute to code reviews and reusable tooling.
Seniority
Senior, hands-on IC
