Data Scientist

As a Senior Data Scientist at Havells India Ltd, your role is pivotal in driving growth, enhancing consumer experience, optimizing sales, and achieving cost savings through advanced analytics and AI/ML. You will handle Big Data, support routine data analytics/data mining requests, and lead predictive, AI/ML, and advanced analytics projects across various domains including Consumer, Sales Ops, Retail, and SCM. Key Responsibilities: - Support insights from consumer, loyalty, app, sales, and transactional data. - Collaborate with the Data Engineering team on building Data Lake/Warehouse. - Data preparation, new attribute development, and creating Single View of customers and retailers. - Utilize data mining/AI/ML for upsell/cross-sell, retention, loyalty, engagement campaigns, and target audience identification. - Build and maintain predictive analytics AI/ML models for use cases in Consumer Domain, Consumer Experience (CX), and e-Commerce (D2C) platform. - Support AI/ML models for Sales Transformation or SCM use cases. - Work on GenAI use cases and projects. - Conduct deep data mining to support digital analytics, website behavior, app behavior analytics, call center/CS behavior, NPS, retailer, and electrician loyalty. - Knowledge of data visualization, MIS/Dashboarding tools. - Support ad hoc analysis on consumer purchase behavior/market basket analysis. Candidate Profile: - Education: BE/BTech, MTech, MSc Stats, MBA, or Diploma in Analytics/Decision Science. - Experience: 8-9+ years in advanced & predictive analytics in at least two domains (consumer, sales transformation, SCM, or Manufacturing Plant Analytics). Proficient in modern analytical tools and techniques (Python, R, SQL, SPSS, SAS). - Tools/Techniques: Python, PySpark, SQL, Hadoop, Hive, Regression, Classification, Decision Trees, Random Forests, SGBoost Clustering, SVM, Time Series, NLP, Neural Networks, Large Language Models, Computer Vision, Object Detection, CNN, Object Tracking. Familiarity with MLOps & MS Databricks cloud technologies is an advantage. - Personal Attributes: Strong analytical mindset, expertise in big data & cloud, self-starter, hands-on, excellent interpersonal skills, ability to work with cross-functional teams, translate technical data concepts into business language, and solve business problems via data. Ability to initiate work in ambiguous environments. Flair for consumer, digital & technology. Join us and be a part of our journey to leverage analytics and AI/ML for transformative growth! As a Senior Data Scientist at Havells India Ltd, your role is pivotal in driving growth, enhancing consumer experience, optimizing sales, and achieving cost savings through advanced analytics and AI/ML. You will handle Big Data, support routine data analytics/data mining requests, and lead predictive, AI/ML, and advanced analytics projects across various domains including Consumer, Sales Ops, Retail, and SCM. Key Responsibilities: - Support insights from consumer, loyalty, app, sales, and transactional data. - Collaborate with the Data Engineering team on building Data Lake/Warehouse. - Data preparation, new attribute development, and creating Single View of customers and retailers. - Utilize data mining/AI/ML for upsell/cross-sell, retention, loyalty, engagement campaigns, and target audience identification. - Build and maintain predictive analytics AI/ML models for use cases in Consumer Domain, Consumer Experience (CX), and e-Commerce (D2C) platform. - Support AI/ML models for Sales Transformation or SCM use cases. - Work on GenAI use cases and projects. - Conduct deep data mining to support digital analytics, website behavior, app behavior analytics, call center/CS behavior, NPS, retailer, and electrician loyalty. - Knowledge of data visualization, MIS/Dashboarding tools. - Support ad hoc analysis on consumer purchase behavior/market basket analysis. Candidate Profile: - Education: BE/BTech, MTech, MSc Stats, MBA, or Diploma in Analytics/Decision Science. - Experience: 8-9+ years in advanced & predictive analytics in at least two domains (consumer, sales transformation, SCM, or Manufacturing Plant Analytics). Proficient in modern analytical tools and techniques (Python, R, SQL, SPSS, SAS). - Tools/Techniques: Python, PySpark, SQL, Hadoop, Hive, Regression, Classification, Decision Trees, Random Forests, SGBoost Clustering, SVM, Time Series, NLP, Neural Networks, Large Language Models, Computer Vision, Object Detection, CNN, Object Tracking. Familiarity with MLOps & MS Databricks cloud technologies is an advantage. - Personal Attributes: Strong analytical mindset, expertise in big data & cloud, self-starter, hands-on, excellent interpersonal skills, ability to work with cross-functional teams, translate technical data concepts into business language, and solve business problems via data. Ability to initiate work in ambiguous environments. Flair for consumer, digital & technology.