Data Scientist - Python/ SQL- Fully Remote in Gurugram, India
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India, Gurugram
Data Scientist - Python/ SQL- Fully Remote in Gurugram, India is listed on Jobeax. Browse 30,000+ vacancies available.
Data Scientist Essential : . B.E. / https://jobeax.com/link/7MP5OIWqBjLWowIE 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.
... Experience with cloud-native data platforms and services such as: AWS: S3, Kinesis, DynamoDB, RDS, Glue, EMR, Redshift Azure: ADLS, ADF, Event Hubs, Synapse, Databricks, Azure SQL Strong programming skills in Python, Scala, or Java . Experience in Fraud Analytics, data lakes, ML pipelines, and modern data platform architectures.
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... understanding of event-driven architecture and real-time data streaming patterns Familiarity with Avro/JSON schema management and Schema Registry Experience integrating data between legacy and modern platforms Strong SQL/Python skills and experience working with relational databases Understanding of data mapping, data quality, and ...
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