Deputy Manager/ Manager- Data Science & AI

Role & responsibilities

Analytics & Data Science CX Consumer & Marketing (Own)

• Manage & Enrich Big Data

  Own Consumer Datamart (SVOC 2Cr Records, 150+ attributes) and all the user attributes, think of ways to enrich data & consumer profile
• Engage with Data Engineering team on building/maintaining/enhancing Data Lake/Warehouse in Databricks (Cloud)
• Data preparation, new attribute development, preparing Single View of consumers, Single View of Retailers/electricians

• Consumer Insights

  &

  Campaign Analysis

  - Drive adhoc analysis & regular insights from data to generate insights and drive campaign performance
• Support insights from consumer, loyalty, app, sales, transactional data
• Data mining/AI/ML to support upsell/cross-sell/retention/loyalty/engagement campaigns & target audience identification
• Purchase behavior/market basket analysis

• Predictive Analytics & Advanced Data Science

  - Build & maintain Predictive analytics AI/ML models for use cases in Consumer Domain, Consumer Experience (CX), Service, example:
• Product recommendations
• Likely to buy product or services (AMC)
• Lead scoring conversion
• Service Risk Scoring or Service Franchise/Technician performance score
• Likely to be a detractor or Likely to churn
• Market mix modelling

• Dashboarding:

  Build, manage, support various MIS/dashboards related to loyalty, campaigns, repeat purchase, Havells One app
• Power BI dashboards & other visualization
• Adhoc dashboards
• Work on company analytic tools like MoEngage, Adobe Analytics, Google Analytics, Easyrewardz etc to share trends with team

Analytics & Data Science – Other Domains SCM, Sales Op, Marketing (Secondary)

Support AI/ML models for Sales Transformation or SCM or Marketing Use Cases:

• Market Mix Modeling
• Retailer/Electrician loyalty program optimization
• Retailer/partner risk scoring or churn prediction
• Product placement & channel partner classification
• Improve forecast accuracy & Out of Stock prediction
• Work on GenAI use cases & projects
• Deep data mining to support digital analytics, website behavior, app behavior analytics, call center/CS behavior, NPS, retailer & electrician loyalty etc

Agentic AI & LLM

Preferred candidate profile

2-7 years of direct experience in advanced & predictive analytics in atleast one domain viz consumer, sales transformation or SCM in any industry. Hands-on experience & knowledge of modern analytical tools, techniques & software (python, R, SQL, SPSS, SAS, Data Bricks)