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 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 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

📌 Data Scientist (Haryana)
🏢 Maruti Suzuki
📍 Haryana