Manager - Data Science

Job Description

About Blend360: Blend360 is a premier AI services provider, dedicated to solving complex business challenges through the power of Data Science, AI, and technology. We co-create impactful solutions by seamlessly integrating human expertise with artificial intelligence, fostering innovation, and unlocking value for our clients. Our mission is to fuel bold visions, and we believe that People + AI can create meaningful impact. For more information, visit www.blend360.com. Role Highlights: This is not just a leadership role it's a hands-on, execution-driven position where you will build, optimize, and deploy AI/ML models while leading a team. As a Manager Data Science , you will work at the intersection of machine learning, generative AI, and business problem-solving. Youll be responsible for developing cutting-edge solutions, guiding projects from ideation to production, and mentoring a team of data scientists to drive measurable impact. If you thrive in a fast-paced, hands-on environment where you can design, develop, and implement AI-powered solutions while leading from the front, wed love to have you on board! What Youll Tackle Each Day: Hands-on AI & ML Development: Build, train, and deploy ML models – from classical techniques (Classification, Regression, Forecasting) to advanced deep learning, LLMs, and Generative AI. Perform feature engineering, statistical analysis, and model tuning to enhance predictive capabilities. Work with big data tools (Hadoop, PySpark, Hive) to process large datasets efficiently. Develop AI-driven solutions tailored for industries like Retail, CPG, BFSI, Healthcare, and eCommerce. Optimize and automate machine learning pipelines for scalable deployment. End-to-End AI/ML Deployment: Own the full ML lifecycle , from development to deployment and monitoring. Collaborate with Data Engineering teams to build production-ready ML pipelines. Work with cloud platforms such as Azure, AWS, GCP, or Databricks for model deployment and monitoring. Design and implement A/B testing strategies to measure model impact. Project Execution & Delivery: Drive multiple AI/ML initiatives from concept to execution , ensuring quality and timely delivery. Partner with cross-functional teams (Product, Data Engineering, Business) to translate business problems into scalable AI solutions . Own project roadmaps, track milestones, and ensure stakeholder alignment. Communicate AI/ML concepts effectively to both technical and non-technical stakeholders . Leadership & Team Growth: Lead by doing – mentor and guide a high-performance team of data scientists. Set technical direction, review code, and establish best practices in AI/ML development. Foster a culture of continuous learning, innovation, and hands-on problem-solving . Provide career development guidance and help team members achieve technical excellence. What You Bring to the Table: 7+ years of hands-on experience in Data Science & AI , with strong expertise in ML, Generative AI, Python, and SQL . Deep understanding of ML algorithms , including NLP, LLMs, forecasting, and optimization techniques. Proven track record of building and deploying machine learning models in production environments. Expertise in at least one cloud platform: AWS, Azure, GCP, or Databricks . Strong grasp of statistics, probability, and causal inference . Ability to break down complex AI concepts for business stakeholders. Experience with big data tools (Hadoop, Hive, PySpark) and ML workflow automation . Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics .