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Data Scientist 25-26
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDevelop scalable models to forecast enquiries, bookings, retails, and wholesales.
Build analytics tools to enable stakeholder-led decision-making.
Analyze price elasticity across segments and regions.
From the employer’s posting
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.
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.
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.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 2026today
- Recorded sightings
- 1
- Employer says posted
- Apr 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
maruti is hiring
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Power BI
- Tableau
Where the posting names them
- 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.
Technical Competencies: Statistical Analysis, Machine Learning, Data Modeling, Python Programming, Dashboarding, Auto Industry Trends. Behavioral Competencies:
- 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
Your next step
Complete your application on maruti.app.param.ai. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Role Title: Data Scientist
Experience Level: Assistant Manager / Deputy Manager (2–7 years)
Job Purpose
To drive data-backed decision-making within the Sales division by applying advanced analytics, demand forecasting, price elasticity modeling, and GenAI solutions. This role aims to improve forecasting precision, assess the impact of pricing strategies, and uncover actionable insights from customer behavior to optimize sales performance.
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
New Delhi
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.