Director Data Science

📋 Description

• Lead, grow, and mentor a high-performing team of data scientists.
• Own all data science systems and models in your charter — from strategy to deployment and
• Collaborate with senior product, engineering, and business leaders to define and prioritize
• Drive platformization, system architecture decisions, and ML lifecycle improvements across the
• Ensure model scalability, performance, and cost efficiency, while upholding best practices in
• Guide the team in reading and implementing state-of-the-art research, and facilitate build vs. buy

🎯 Requirements

• Master’s degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related
• 10+ years of experience in Data Science or Analytics, with at least 2–3 years of people management
• Proven track record of building and deploying ML models in production at scale.
• Experience managing teams of 10+ data scientists and delivering across cross-functional charters.
• Deep expertise in ML algorithms, experimental design, and performance monitoring.
• Strong coding skills (Python, SQL) and familiarity with Big Data technologies like Spark, Hive, or

🎁 Benefits

• Experience leading ML initiatives in B2C or e-commerce settings.
• Contributions to internal tools, open-source libraries, or research publications.
• Experience in personalization, recommendations, ranking, or supply chain ML problems.
• Strong understanding of ML system performance trade-offs — latency, cost, and throughput.