Manage projects end-to-end from PoC to production.
Mentor junior developers; conduct code reviews and share best practices.
Work with massive datasets (billions of ad impressions/month) and millions of variables.
Solve non-routine analysis problems beyond off-the-shelf ML solvers.
Address scaling/engineering challenges as thousands of ML models run daily.
Collaborate with commercial and customer success to scope new algorithms.

🎯 Requirements

MS degree in applied mathematics (stats, probabilities, OR, ML).
3-5 years data science experience with Python/C++.
Passion for automation and data-driven decisions.
Proven experience in SQL-like languages.
Experience deploying ML models into production.
Experience leading technical projects or mentoring others.

🎁 Benefits

Do things once; automate to scale.
Decisions based on data points.
Have a good laugh; a young, ambitious team.

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