Job Role & Responsibilities:
Data Solutions Architecture: Develop cutting-edge 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.
Feature Engineering: Design and select features, study feature importance, and decide on the machine learning strategy.
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: Robust 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 settings.
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 system

📌 Senior Data Scientist Gurugram
🏢 Maruti Suzuki India
📍 Gurugram