Head of Data Science

📋 Description

• Build, scale, and develop the Data Science team, including hiring, mentoring, and performance
• Define and execute a Data Science strategy aligned with business priorities
• Oversee the full lifecycle of DS projects from problem formulation to deploying models into
• Prioritize initiatives based on business impact (ROI, time-to-market)
• Collaborate closely with product managers, analysts, engineers, and C-level executives

🎯 Requirements

• Proven ability to implement best practices in Data Science: reproducibility, A/B testing, ML
• Strong track record in maintaining model quality (performance, drift, latency)
• Advanced Python skills (pandas, sklearn, numpy, xgboost; pytorch/tf is a plus)
• High-level SQL expertise (large datasets, query optimization)
• Hands-on experience with ML pipelines, orchestration (Airflow, Prefect), and monitoring (Evidently
• Experience with GCP

🎁 Benefits

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance