
Manager/Sr. Manager- Data Scientist
2 days ago
Role & responsibilities
Havells considers Analytics & AI/ML to play a critical role in driving growth, in shaping consumer experience, sales optimization and cost savings. This role will require handling Big Data, support routine data analytics/data mining requests and drive predictive, AI/ML or advanced analytics projects for various Use Cases in Consumer or Sales Ops/Retail/SCM domain.
The candidate should be passionate about analytics, Gen AI & be a self starter to build the business case & prove the value of analytics use cases within the organization.
Key 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, Agentic AI use cases & projects
- Deep data mining to support digital analytics, website behavior, app behavior analytics, call center/CS behavior, NPS, retailer & electrician loyalty etc
Preferred candidate profile
BE/BTech, MTech or MSC Stats or MBA (Analytics) or Diploma in Analytics/Decision Science.
2-8 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).
Strong analytical bent of mind with high level of expertise on big data & cloud, problem solver, self starter & hands-on. Ability to understand business requirements and translate that into data requirement. Ownership and perseverance to ensure deadlines are met and data outputs of finest quality. Flair for consumer, digital & technology.
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