Associate Director - II - Data Science @ Tata Digital

Internal Public Job Description Associate Director, Tata Digital Pvt. Ltd. Tata Digital is a future-ready company focused on building consumer-centric, highengagement digital products. Our flagship offering, Tata Neu, is a super-app that integrates various consumer services, including groceries, fashion, electronics, travel, financial services, and more, into a seamless experience. As a wholly owned subsidiary of Tata Sons Private Limited, we are committed to driving digital transformation at scale. Role Details Role Title: Associate Director Function: Data Science Location: Gurgaon or Bangalore Experience: Y About the Role: We are looking for an experienced Data Scientist to join our team and help drive innovation in recommendation, ad spends, fraud detection and user ranking/ queue management systems. You will be responsible for designing end to end ML systems from model development, optimization to deployment that enhances our user experience and business outcomes at scale. If you have a strong background in developing scalable ML solutions like ranking engine, SMS parsing engine etc. and you are always curious to learn the latest and newest tech / algorithm, we are looking for you. Key Responsibilities: Work with data scientists to design end to end data systems like call centre queuing logic, recommendation engine for cross-sell. The system is not limited to building data science model but end to end integration, testing and deployment including A/B testing and model monitoring Conduct and establish best practices on code reviews to ensure good quality codes are released to production Set up systems and processes to increase productivity of data scientists by automating baseline model creation and testing. Optimize infrastructure and data processing for high-scale real-time and batch ML systems. Drive R&D experiments for example, setting up graph systems. Stay up to date with advancements in ML, AI, and big data technologies and apply them to business problems. Minimum Qualifications: 7+ years of experience in Data Science / Machine Learning Engineering, with a focus on ad spend optimization, recommendation systems or large scale fraud systems. Internal Public Strong programming skills in Python, Pyspark, Scala, or Java with experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed computing. Proficiency in SQL and NoSQL databases for large-scale data processing. Hands-on experience in deploying ML models in production at scale (MLOps, CI/CD for ML). Strong understanding of ranking models, deep learning, NLP, and reinforcement learning. Preferred Qualifications: Familiarity with vector search, embeddings, and retrieval-based models. Strong problem-solving skills and ability to work in a fast-paced environment Experience with cloud platforms like AWS, GCP, or Azure. If you re passionate about building intelligent, scalable, and high-impact ML solutions, apply now! Learn more about Tata Digital: Tata Neu Tata Digital Newsroom LinkedIn YouTube