Data Scientist

5 days ago

Mysuru, India Epergne Solutions Full time

Job Title : Data Scientist

Location : Mysore / Pune / Bangalore

Experience : 6+ Years (Immediate Joiners Only)

Qualification : BE / B.Tech / ME / M.Tech


Job Description:

We are seeking an experienced Data Scientist with a strong background in advanced analytics, machine learning, and deep learning for the automotive domain. The ideal candidate will be responsible for building predictive models, analyzing complex automotive datasets, and delivering data-driven insights to support key business and engineering initiatives.


Key Responsibilities:
  • Develop, implement, and optimize machine learning models for predictive maintenance, driver behavior analysis, and other automotive use cases.
  • Apply deep learning techniques for ADAS (Advanced Driver Assistance Systems) related projects.
  • Perform data extraction, transformation, and analysis using Python, R, and SQL.
  • Work on CAN data analysis and other automotive datasets to identify patterns, anomalies, and actionable insights.
  • Design and develop data visualization dashboards using Power BI and Tableau for business and engineering stakeholders.
  • Handle large-scale datasets using Big Data frameworks such as Spark and Hadoop.
  • Deploy and manage models in cloud environments (AWS/GCP) ensuring scalability and efficiency.
  • Collaborate with cross-functional teams including data engineers, software developers, and domain experts to deliver end-to-end solutions.
  • Stay up to date with emerging AI/ML trends, tools, and methodologies relevant to automotive and IoT data.


Required Skills & Experience:
  • Strong programming skills in Python, R, and SQL .
  • Proven expertise in Machine Learning (predictive modeling, driver behavior, predictive maintenance).
  • Hands-on experience with Deep Learning (CNNs, RNNs, LSTMs) for ADAS or similar applications.
  • Proficiency in data visualization tools (Power BI, Tableau).
  • Experience working with Big Data frameworks (Spark, Hadoop).
  • Cloud expertise in AWS / GCP for model deployment and data management.
  • Experience in automotive datasets and CAN data analysis is mandatory.
  • Strong problem-solving, analytical, and communication skills.

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