Data Science Manager

Delivery & Project Management:

• Develop and implement ML models, Gen AI solutions, and predictive analytics.
• Perform data mining, feature engineering, and statistical analysis.
• Own project roadmaps, quality control, and timely delivery.
• Collaborate with Data Engineering teams to deploy and operationalize ML models.
• Automate and optimize workflows for efficiency.

Practice Development:

• Contribute to scaling Blends Data Science practice by building new capabilities.
• Design industry-specific AI/ML solutions and contribute to thought leadership.
• Evaluate emerging AI trends and tools and integrate them into our ecosystem.
• Lead innovation initiatives, research, and internal AI development.

People & Leadership:

• Mentor and develop a high-performance data science team.
• Guide career development and set performance benchmarks.
• Collaborate with cross-functional teams to drive seamless execution.Qualifications

• 8+ years of experience in Data Science & AI, with hands-on expertise in ML, Python, and SQL.
• Exposure to Generative AI Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities
• Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.).
• Experience in end-to-end ML deployment, including working with either Azure or AWS or GCP or Databricks.
• Proven ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce.
• Deep expertise in statistics, probability, stochastic processes, and causal inference.
• Strong communicator who can explain AI concepts to non-technical stakeholders.
• Experience with big data tools (Hadoop, Hive, PySpark) and ML pipelines.
• Bonus: Experience in Google Analytics, Adobe Analytics, or digital marketing analytics.
• Bachelors/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field.