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Maruti Suzuki India Ltd
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Data Scientist

Data Scientist

Maruti Suzuki India Ltd

4 - 7 years

3 - 8 Lacs

gurgaon

Posted:8 hours ago| Platform: GlassDoor logo

Apply

Skills Required

data architecture telematics iot analysis etl resampling filtering encoding statistics engineering design learning model development training tuning testing reporting visualization reports visualize algorithms networks svm regression aws azure programming python numpy matplotlib deployment sql relational databricks processing spark sagemaker analytics controller network collaboration tableau

Work Mode

Remote

Job Type

Part Time

Job Description

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.

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Data Scientist