Full-Time Senior Data Science Manager

• You will lead with vision, provide technical and people leadership for our Pricing & Fleet Optimization product line, ensuring we ship scalable, high‑performance solutions
• You will own the architecture, design serverless and microservice pipelines that handle millions of pricing requests per day, backed by ML and linear‑programming models
• You will grow great people, line‑manage 10–15 Data Scientists and MLEs; create growth plans and mentor future Engineering Managers, transitioning them to leadership roles
• You will shape the roadmap, translate commercial goals into measurable ML milestones; quantify opportunity cost, run A/B tests, and unlock incremental margin across business units
• You will drive engineering excellence, champion code quality, CI/CD, observability, and a strong incident‑response culture
• You will influence at scale, communicate complex technical trade‑offs in clear, non‑technical language and secure buy‑in from executive stakeholders

• Enterprise Innovation: You have 10+ years building and shipping AI/ML products for large enterprises—ideally in pricing, revenue‑management, or supply‑chain optimization
• Leadership Excellence: You have 5+ years of engineering‑management experience, including mentoring ICs and emerging leaders
• Technical Depth:You have deep expertise in machine learning, linear programming, and optimization techniques
• Engineering Mastery: You have hands‑on mastery of Python (NumPy, Pandas/Polars, Dask, TensorFlow/Keras/PyTorch); and proven experience with serverless architectures (e.g. AWS Lambda, GCP Cloud Functions), microservices, and event‑driven systems (e.g. Kafka, Pub/Sub)
• Agile Mindset: You are comfortable operating in ambiguous, fast‑moving environments with evolving requirements. Outstanding written and verbal communication and storytelling skills
• Education: You hold a Bachelor’s or Master’s in Computer Science or related field; PhD a plus

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