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Data Scientist
Gurugram; Bengaluru
Actively hiring, first seen by us today- 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 postingCollaborate with domain experts to gain automotive insights.
Present descriptive statistics and insights to domain experts.
From the employer’s posting
▪ Data Solutions Architecture: Develop innovative data-driven solutions for business challenges using Telematics/Time series data. Collaborate with domain experts to gain automotive insights. ▪ IoT Device Mastery: Understand the Telematics Control Unit (TCU) and the time-series data it generates.
▪ Data Landscape Analysis: Evaluate data adequacy and establish a comprehensive understanding of the data landscape. ▪ Data Preparation: Clean and prepare datasets for modeling. Engage in ETL processes and apply data transformation techniques such as resampling, filtering, and encoding. ▪ Exploratory Data Analysis: Conduct exploratory data analysis to derive insights. Present descriptive statistics and insights to domain experts. Identify meaningful patterns, detect seasonality and trends, and establish cause-and-effect relationships. ▪ Feature Engineering: Design and select features, study feature importance, and decide on the machine learning strategy.
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
- Nov 19, 2025
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
- Azure
- Databricks
- Power BI
- SageMaker
- Spark
- Tableau
- Matplotlib
- NumPy
- pandas
- GCP
- scikit-learn
Where the posting names them
▪ Cloud Computing: Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. ▪ Programming Skills: Strong programming skills in Python, with experience using libraries like pandas, numpy, matplotlib, and sklearn. ▪ Data Visualization: Proficiency in data visualization techniques and tools.
▪ MLOps: Exposure to MLOps and model deployment in production environments. ▪ SQL skills: Experience working with relational and non-relational databases. Desirable:
▪ Hands-on Experience: Proficiency in using machine learning models for regression, classification, and unsupervised learning algorithms. ▪ Cloud Computing: Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. ▪ Programming Skills: Strong programming skills in Python, with experience using libraries like pandas, numpy, matplotlib, and sklearn.
▪ Distributed Computing: Experience with Spark or other distributed computing frameworks. ▪ AutoML Tools: Understanding of tools like AWS Sagemaker, Databricks AutoML and IBM AutoAI. ▪ Telematics Data Analytics: Experience in time-series/IoT data analytics, including data streaming from vehicle on-board IoT devices.
Desirable: ▪ Databricks Platform: Experience with Databricks for big data processing and machine learning. ▪ Distributed Computing: Experience with Spark or other distributed computing frameworks.
▪ Remote Collaboration: Experience working with remote team members. ▪ Advanced Visualization Tools: Experience with data visualization tools such as Tableau and PowerBI.
▪ Databricks Platform: Experience with Databricks for big data processing and machine learning. ▪ Distributed Computing: Experience with Spark or other distributed computing frameworks. ▪ AutoML Tools: Understanding of tools like AWS Sagemaker, Databricks AutoML and IBM AutoAI.
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 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
Data Scientist
Essential : ▪ B.E. / B.Tech/ M. Tech./M.Sc. in any stream
Experience- 4-7 Years
Responsibilities:
▪ Data Solutions Architecture: Develop innovative data-driven solutions for business challenges using Telematics/Time series data.
Collaborate with domain experts to gain automotive insights.
▪ IoT Device Mastery: Understand the Telematics Control Unit (TCU) and the time-series data it generates.
▪ Data Landscape Analysis: Evaluate data adequacy and establish a comprehensive understanding of the data landscape.
▪ Data Preparation: Clean and prepare datasets for modeling. Engage in ETL processes and apply data transformation techniques such as resampling, filtering, and encoding. ▪ Exploratory Data Analysis: Conduct exploratory data analysis to derive insights. Present descriptive statistics and insights to domain experts. Identify meaningful patterns, detect seasonality and trends, and establish cause-and-effect relationships.
▪ Feature Engineering: Design and select features, study feature importance, and decide on the machine learning strategy.
▪ Model Development: Select appropriate machine learning/deep learning models, set up data pipelines for model training, perform hyper-parameter tuning, validation, and testing. Apply ensemble modeling techniques if required.
▪ Reporting & Visualization: Create comprehensive reports and visualize data using plots and heat maps.
Essential:
▪ Machine Learning Expertise: Experience with machine learning algorithms (e.g., Generalized Linear Models, Boosting, Decision Trees, Neural Networks, SVM, Bayesian Methods, time series models).
▪ Hands-on Experience: Proficiency in using machine learning models for regression, classification, and unsupervised learning algorithms.
▪ Cloud Computing: Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
▪ Programming Skills: Strong programming skills in Python, with experience using libraries like pandas, numpy, matplotlib, and sklearn.
▪ Data Visualization: Proficiency in data visualization techniques and tools.
▪ MLOps: Exposure to MLOps and model deployment in production environments.
▪ SQL skills: Experience working with relational and non-relational databases.
Desirable:
▪ Databricks Platform: Experience with Databricks for big data processing and machine learning.
▪ Distributed Computing: Experience with Spark or other distributed computing frameworks.
▪ AutoML Tools: Understanding of tools like AWS Sagemaker, Databricks AutoML and IBM AutoAI.
▪ Telematics Data Analytics: Experience in time-series/IoT data analytics, including data streaming from vehicle on-board IoT devices.
▪ Automotive Systems Knowledge: Exposure to automotive systems, basics of automobiles, and Controller Area Network (CAN) protocol.
▪ Remote Collaboration: Experience working with remote team members.
▪ Advanced Visualization Tools: Experience with data visualization tools such as Tableau and PowerBI.
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
Gurugram; Bengaluru
▪ Automotive Systems Knowledge: Exposure to automotive systems, basics of automobiles, and Controller Area Network (CAN) protocol. ▪ Remote Collaboration: Experience working with remote team members. ▪ Advanced Visualization Tools: Experience with data visualization tools such as Tableau and PowerBI.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.