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Day 0
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Senior Data Scientist
- 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 postingPartner with business stakeholders to identify and solve high-impact business problems using data and AI.
Build predictive, prescriptive, and optimization models to improve revenue, profitability, customer satisfaction, quality, and operational efficiency.
Develop end-to-end ML solutions from problem formulation, feature engineering, model development, deployment, monitoring, and business adoption.
From the employer’s posting
Key Responsibilities Partner with business stakeholders to identify and solve high-impact business problems using data and AI. Build predictive, prescriptive, and optimization models to improve revenue, profitability, customer satisfaction, quality, and operational efficiency.
Partner with business stakeholders to identify and solve high-impact business problems using data and AI. Build predictive, prescriptive, and optimization models to improve revenue, profitability, customer satisfaction, quality, and operational efficiency. Develop end-to-end ML solutions from problem formulation, feature engineering, model development, deployment, monitoring, and business adoption.
Build predictive, prescriptive, and optimization models to improve revenue, profitability, customer satisfaction, quality, and operational efficiency. Develop end-to-end ML solutions from problem formulation, feature engineering, model development, deployment, monitoring, and business adoption. Present insights and recommendations to senior leadership and functional teams.
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related fields.
Qualification wording
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related fields.
Education & alternatives
Education Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related fields. Ideal Candidate
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
- Oct 27, 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
- SQL
- AWS
- Databricks
- Docker
- GCP
- Kubernetes
- MLflow
- Power BI
- Spark
- Tableau
- LightGBM
- pandas
- PySpark
- PyTorch
- scikit-learn
- TensorFlow
- XGBoost
Where the posting names them
Tech Stack - Python, SQL, PySpark - Pandas, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM
- Pandas, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM - Databricks, Spark, AWS/GCP - MLflow, Docker, Kubernetes, MLOps
- Databricks, Spark, AWS/GCP - MLflow, Docker, Kubernetes, MLOps - Power BI/Tableau for visualization and storytelling
- MLflow, Docker, Kubernetes, MLOps - Power BI/Tableau for visualization and storytelling Education
Machine Learning & Statistics - Classification: Logistic Regression, Decision Trees, Random Forest, XGBoost, LightGBM, CatBoost, SVM, Ensemble Methods. - Regression: Linear/Regularized Regression, Tree-based Regression Models, Gradient Boosting Models.
- ARIMA, SARIMA, Prophet, Exponential Smoothing, VAR. - ML-based Forecasting using XGBoost, Random Forest, LightGBM. - Deep Learning Forecasting using LSTM, GRU, Temporal Fusion Transformer (TFT), Transformer-based models.
- Python, SQL, PySpark - Pandas, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM - Databricks, Spark, AWS/GCP
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
Has maruti posted this job before?
Yes. We’ve followed one other Senior Data Scientist job there since November 2026. It is still up.
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
Senior Data Scientist (5-10 Years Experience)
Location: Gurugram, India
Function: Data Science & Advanced Analytics
Industry: Automotive / Manufacturing
Role Overview
We are looking for a highly motivated Senior Data Scientist with 5-10 years of experience in Machine Learning, Advanced Analytics, Forecasting, and AI to drive data-driven decision making across business functions including Sales, Marketing, Finance, Manufacturing, Quality, Engineering, Supply Chain, Procurement, Customer Experience, and Dealer Network Operations. The role requires translating complex business problems into scalable analytical solutions that deliver measurable business impact.
Key Responsibilities
- Partner with business stakeholders to identify and solve high-impact business problems using data and AI.
- Build predictive, prescriptive, and optimization models to improve revenue, profitability, customer satisfaction, quality, and operational efficiency.
- Develop end-to-end ML solutions from problem formulation, feature engineering, model development, deployment, monitoring, and business adoption.
- Present insights and recommendations to senior leadership and functional teams.
- Mentor junior data scientists and contribute to AI/ML strategy and best practices.
Required Technical Skills
Machine Learning & Statistics
- Classification: Logistic Regression, Decision Trees, Random Forest, XGBoost, LightGBM, CatBoost, SVM, Ensemble Methods.
- Regression: Linear/Regularized Regression, Tree-based Regression Models, Gradient Boosting Models.
- Clustering & Segmentation: K-Means, Hierarchical Clustering, DBSCAN.
- Statistical Analysis, Hypothesis Testing, A/B Testing, Forecast Accuracy Measurement, Causal Inference.
Time Series Forecasting
- ARIMA, SARIMA, Prophet, Exponential Smoothing, VAR.
- ML-based Forecasting using XGBoost, Random Forest, LightGBM.
- Deep Learning Forecasting using LSTM, GRU, Temporal Fusion Transformer (TFT), Transformer-based models.
- Applications: Demand Forecasting, Sales Forecasting, Inventory Planning, Spare Parts Forecasting, Production Forecasting.
Deep Learning & AI
- Neural Networks (ANN, DNN)
- NLP: BERT, LLMs, Generative AI, RAG Frameworks
- Computer Vision: CNN, ResNet, YOLO
- Experience with GenAI, Prompt Engineering, AI Agents is an added advantage.
Tech Stack
- Python, SQL, PySpark
- Pandas, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM
- Databricks, Spark, AWS/GCP
- MLflow, Docker, Kubernetes, MLOps
- Power BI/Tableau for visualization and storytelling
Education
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related fields.
Ideal Candidate
A business-focused Data Scientist with strong expertise in ML, Forecasting, Optimization, and AI who can effectively partner with business teams and convert data into actionable insights that drive strategic decisions and measurable business outcomes across the automotive value chain.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurgaon
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.