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368 Maruti Suzuki Jobs
Data Scientist
8-13 years
Gurgaon / Gurugram, Bangalore / Bengaluru
1 vacancy
Data Scientist
Maruti Suzuki
posted 27d ago
Job Role Insights
Fixed timing
Key skills for the job
Job Description
Educational Qualification:
Essential: B.E. / B.Tech/ M. Tech./M.Sc. in any stream
Desirable: Specialization in data science or statistics
Responsibilities:
Data Solutions Architecture: Develop innovative data-driven solutions for business challenges using Telematics 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. Utilize tools like Google Maps API for visualization.
Technical Skills / Experience:
Essential:
Industry Experience: Minimum of 5 years in a data scientist role.
Machine Learning Expertise: Experience with machine learning algorithms (eg, 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. Knowledge of clustering techniques.
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.
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, Google AutoML, IBM AutoAI, and Databricks.
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.
Google Maps API: Working experience with Google Maps API for creating heat maps
Behavioral:
- Analytical Thinking: Strong analytical skills to interpret complex data and derive actionable insights.
- Problem-Solving: Ability to approach problems creatively and develop innovative solutions.
- Attention to Detail: Meticulous attention to detail to ensure data accuracy and model reliability.
- Communication: Excellent communication skills to convey technical information to non-technical stakeholders.
- Collaboration: Strong team player with the ability to work collaboratively in a cross-functional environment.
- Adaptability: Flexibility to adapt to changing business needs and evolving technologies.
- Curiosity: A proactive learner with a curiosity to explore new technologies and methodologies.
- Time Management: Effective time management skills to handle multiple projects and meet deadlines
Employment Type: Full Time, Permanent
Read full job descriptionMaruti Suzuki Interview Questions & Tips
Prepare for Maruti Suzuki Data Scientist roles with real interview advice
Top Maruti Suzuki Data Scientist Interview Questions
Q2. Demonstrate how will you retain an employee at your dealer's?
asked in
Assistant Manager interview
Q3. What is the difficulties in welding of aluminium.
What people at Maruti Suzuki are saying
Rating based on 3 Data Scientist
reviews
Anonymous · Data Science & Analytics
in New Delhi
Likes
Good Learning of Business, Grandeurness of Company , Stability 2 Blocks in Year
- Skill development - Good
+3 more
Dislikes
Inflexible and long working hours
Data Scientist salary at Maruti Suzuki
reported by
27
employees
₹8
L/yr - ₹21
L/yr
13%
less
than the average Data Scientist Salary in India
View more details
What Maruti Suzuki employees are saying about work life
based on 7.3k employees
Strict timing
Monday to Saturday
No travel
Day Shift
Maruti Suzuki Benefits
Job Training 
Health Insurance 
Soft Skill Training 
Free Food 
Free Transport 
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