Staff Data Scientist, Algorithm, Growth

What you'll do

• Design, deploy, and iterate on predictive, personalization, recommendation, LLM-powered, incentive optimization, and causal inference systems.
• Partner with cross-functional teams to turn data and AI into recommendations, investment decisions, and go-to-market strategies; measure impact of growth initiatives.
• Provide hands-on technical leadership, mentorship, and long-term direction for the data science team.

What they ask for

• 7+ years of industry experience and an advanced degree (such as a PhD or MS) in a quantitative field.
• Expert knowledge of machine learning and statistical modelling for data-driven growth strategy.
• Hands-on experience building, deploying, and maintaining production-grade ML models, including cloud-based services and real-time or batch pipelines.
• Strong experience with SQL and Python; experience applying ML and statistical models to causal measurement; strong experience in AI harness and building AI agents.

Nice to have

• Experience with schema design and dimensional data modelling.
• Experience communicating recommendations to leadership and cross-functional teams, or providing technical mentorship in industry.

Pay

$250K – $299K (USD, base salary); Offers Equity; Offers Bonus

Tools

SQL, Python

AI focus

Build LLM-powered applications, AI agents, AI analytics harnesses, and production systems that use AI and machine learning to optimize growth and customer experiences; own evaluation, validation, and governance.