Data Scientist 25-26- job post Maruti Suzuki India Ltd

Full job description
Role Title: Data Scientist

Experience Level: Assistant Manager / Deputy Manager (2–7 years)

Job Purpose
Key Responsibilities

1. Demand Forecasting

Develop scalable models to forecast enquiries, bookings, retails, and wholesales.
Use historical sales data and market trends to support short- and long-term planning.
2. Pricing & Offer Analytics

Analyze price elasticity across segments and regions.
Measure the performance of offers and promotions using causal models and A/B testing.
3. Customer Behavior Analytics

Leverage GenAI and predictive modeling to segment customers, predict drop-offs, and inform engagement strategies.
Track and interpret patterns across the customer journey—conversion, preferences, loyalty.
4. Data Management & Visualization

Clean and integrate data across CRM, DMS, finance, and third-party systems.
Create self-serve dashboards and reports using Tableau, Power BI, or Salesforce Einstein.
5. Cross-functional Collaboration

Partner with Sales, Marketing, Finance, Product Planning, and Network teams to align insights with business strategy.
Major Challenges

Forecasting in a dynamic, seasonal, and regionally diverse market.
Quantifying ROI from offers and pricing strategies.
Integrating financial KPIs into sales models.
Driving GenAI adoption in a traditional automotive ecosystem.
Creating insights from unstructured, siloed data across dealer networks.
Decision-Making Authority

Select and implement analytical models independently.
Recommend pricing structures based on customer behavior and elasticity.
Build analytics tools to enable stakeholder-led decision-making.
Prioritize projects based on business relevance and feasibility.
Define data processing methods for recurring analytical pipelines.
Required Skills and Qualifications

Graduate or Postgraduate degree in Data Science, Statistics, Engineering, or related field.
Strong command of Python, statistical modeling, machine learning, and data visualization tools.
Familiarity with auto industry sales metrics and business drivers.
Demonstrated experience in working with cross-functional teams.
Competency Expectations

Technical Competencies:
Statistical Analysis, Machine Learning, Data Modeling, Python Programming, Dashboarding, Auto Industry Trends.

Behavioral Competencies:
Effective Communication, Stakeholder Management, Creative Problem Solving, Flexibility & Continuous Learning.