Data Science Manager

Job description

We are hiring for Classical Machine Learning & Generative AI roles. Role Overview We are seeking an experienced Data Science Manager to lead a team of data scientists and analysts in developing data-driven products, insights, and solutions. The ideal candidate will have a strong background in applied machine learning, data strategy, and stakeholder management, with proven experience in translating business challenges into scalable analytical solutions. Key Responsibilities Leadership & Strategy • Lead, mentor, and grow a high-performing data science team. • Define and execute the data science roadmap aligned with business goals. • Collaborate cross-functionally with Product, Engineering, and Business units to prioritize projects and deliver measurable impact. Technical Execution • Oversee the design and deployment of predictive models, recommendation systems, and advanced analytics solutions. • Drive the adoption of best practices in model development, feature engineering, validation, and monitoring. • Ensure data quality, reproducibility, and governance across all analytics initiatives. Business Impact • Translate complex analytical findings into clear business insights and recommendations. • Partner with leadership to define KPIs and measure the success of data-driven initiatives. • Evangelize a data-first culture within the organization. People Management • Hire, coach, and retain top talent in data science and analytics. • Conduct performance reviews and set clear goals for team members. • Foster continuous learning, innovation, and collaboration. Required Qualifications • 814 years of overall experience, with at least 3–5 years leading data science or analytics teams. • Strong understanding of machine learning, statistics, and data modeling. • Hands-on experience with Python, R, SQL, and modern ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to manage projects end-to-end — from problem definition to model deployment. • Experience working with large-scale datasets and cloud platforms (AWS, GCP, or Azure). • Excellent communication and stakeholder management skills. Preferred Qualifications • Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field. • Experience in building data products, MLOps, or AI-driven business solutions. • Exposure to BI tools and data visualization (Tableau, Power BI, Looker). • Familiarity with experimentation (A/B testing, causal inference) and optimization techniques. Key Attributes • Strategic mindset with hands-on technical expertise. • Strong business acumen and problem-solving orientation. • Empathetic leadership and a passion for developing people. • Curious, data-driven, and committed to innovation.