Senior Data Scientist

Maruti Suzuki India Ltd.; Gurugram District, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Maruti Suzuki India Ltd. is seeking an experienced data scientist to collaborate with automotive domain experts and extract insights from telematics data. The role focuses on time-series analysis, feature engineering, and model development to support data-driven decisions.

You will work with cloud-based data pipelines, ETL processes, and visualization tools to communicate findings to cross-functional teams and stakeholders within the automotive ecosystem.

Qualifications

• Experience with ML algorithms across regression, classification, and clustering.
• Proficiency in Python and ML libraries.
• Data cleaning and ETL, data preprocessing.
• Cloud experience with AWS/Azure/GCP.
• Telematics/time-series analytics exposure.

Responsibilities

• Collaborate with domain experts to derive automotive insights.
• Understand TCU data, time-series signals, and data streams.
• Prepare datasets and perform ETL including resampling and encoding.
• Conduct exploratory data analysis and present findings.
• Design features and select ML strategy.
• Develop models, train pipelines, and perform hyper-parameter tuning.
• Create reports and visualizations with plots and heat maps.

Skills

Machine learning

Time series

Python

Data visualization

MLOps

SQL

Databricks

Spark

AutoML

Telematics analytics

CAN protocol

Cloud platforms

Tableau

PowerBI

Education

B.E./B.Tech./M.Tech./M.Sc.

Tools

Databricks

Pandas

NumPy

Matplotlib

scikit-learn

Tableau

PowerBI

AWS

Azure

GCP

Job description

Collaborate with domain experts to gain automotive insights.

Responsibilities

• 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.

Technical Skills / Experience 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.
• 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.

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.

Essential : B.E. / B.Tech/ M. Tech./M.Sc. in any stream.