Data Analytics Specialist

6 days ago


Noida, Uttar Pradesh, India Havells India Ltd Full time

About the Role:

Havells India Ltd is seeking a passionate and self-starting Data Scientist to drive growth, enhance consumer experience, optimize sales, and achieve cost savings through advanced analytics and AI/ML.

This role involves handling Big Data, supporting routine data analytics/data mining requests, and leading predictive, AI/ML, and advanced analytics projects across various domains including Consumer, Sales Ops, Retail, and SCM.

  • 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.


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