Take ownership of a defined business domain and its algorithmic needs from problem framing through to deployed solution
Partner with product, business, and AI engineering teams to automate and integrate models into live applications
Analyze large scale datasets (think: processing billions of behavioral signals daily) and translate findings into actionable recommendations
Define and evolve the algorithmic roadmap for your area of ownership
Apply machine learning, statistical, optimization, and GenAI techniques to real business problems
Write production grade code following engineering best practices
Build resilient, maintainable algorithmic pipelines that hold up over time

Masters degree in a quantitative field (Statistics, Operations Research, Computer Science, Applied Mathematics, Systems Engineering, Economics) OR a Bachelors or Engineering degree with solid, consecutive data science experience
At least 2 years of experience delivering production grade data science or algorithmically enabled applications
Strong Python skills with hands on experience in machine learning, statistical modeling, and optimization
Solid SQL and analytical skills
Demonstrated ability to lead problem solving and prioritize across competing demands
Comfortable working across cross functional teams in a fast moving environment.

Data Scientist – Machine Learning, GenAI

Key skills