Company Description
As a Manager - Data Science, you won't just manage, you'll lead by doing. This role demands strong hands-on expertise in Machine Learning, Generative AI, Python, and SQL, and any cloud environment (GCP, Azure or AWS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. You'll spearhead end-to-end AI/ML project execution, collaborate with cross-functional teams, and drive innovation within Blends Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we'd love to have you on board!
Job Description
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.
