Data Scientist

Public Job Description - Data Scientist-I Company Tata Digital Limited Company Overview The Tata Group is building a digital Consumer platform which aims to leverage strong hooks among existing loyal consumers of the Group as well as attract new consumers. Tata Digital will be a single platform with the combined ecosystem of BigBasket, 1mg, Tata Croma, Tata Cliq, Starbucks, IHCL, Westside, Air Asia and many more such companies. The Group will drive deep loyalty, engagement and a seamless journey with its consumers through this platform. Deep analytics shall be at the core of the business model and the Group shall build significant capabilities in this area as a differentiator. About the role We invite you to be part of the Commerce team at Tata Digital where you will be challenged to create a large-scale personalization/ recommendation system, backed by a deep understanding of the consumer behaviour with Tata ecosystem brand You would play a key role in scaling up the commerce business by creating machine learning models to capture opportunities for acquisition, Retention, cross-sell and upsell on TATA brands datasets. Reporting to Lead/Director, Data Science Experience Level 3-5 yrs Programming Languages & Platform Proficiency in Python, Pyspark, SQL, R(optional), MS Azure Databricks or AWS Sagemaker, MLOPS Location Bangalore Responsibilities

Develop machine learning models for various use cases, involving propensity Model, Customer analytics using Logistic Regression, Random Forests, Decision Trees, SVM, clustering algorithms

Use advanced machine learning techniques such as Boosting, Bagging, Stacking, graph modelling, text mining and other modern techniques, assisting preparation & implementation of Tata Digital's commerce products

Use E2E MLOps for automated model development, deployment, monitoring

Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making Public

Identify predictors and causes of business-related problems and implement novel approaches related to Ranking, forecasting and prediction

Design and execute end-to-end undirected research and tackling open-ended data problems related to AI, ML, using sophisticated statistical and mathematical

Ensure model performance, validation, scalability criteria are reviewed regularly, with timely updates for proactive adaptation to changes in business strategies, market environment or portfolio performance

Support critical business decisions through adhoc analysis to uncover new insights in data with result orientation.

Responsible for generating innovative ideas, applies theoretical knowledge, deep diving into data to solve industrial problems Desired Profile

3-4+ years of core experience in data science and model building. Understanding of commerce landscape is a plus

Developed personalization and/or Recommendation engine at scale for ecommerce

Experience in building AI systems using Machine Learning, Statistical Learning, Deep Learning and Optimization etc.

Have good understanding and implemented MLOps and end to end pipeline development and deployment. Proficiency in tools like MLflow or Kubeflow

Highly proficient in Spark, Python or equivalent programming languages

Exposure to developing NLP, Computer Vision and Reinforcement Learning models

Working knowledge of version controls systems (GIT/SVC) & DevOps principles like unit test, integration testing & CI/CD

Problem solving ability and passion for big data

Exhibits business judgment, has relentlessly high standards and thinks big

Works in a fast-paced environment where continuous innovation is desired and ambiguity is the norm

Adept at working with Data (Collection, Extraction and Analysis)

Strong presentation, analytical and communication skills

Masters/Ph.D in Statistics, Mathematics, Computer Science or related engineering major ( or equivalent research experience)