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Senior Data Scientist

6 years

0 Lacs

Posted:18 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

highly skilled Data Scientist


Key Responsibilities

  • Analyze large-scale telemetry and sensor data (GPS, CAN, LiDAR, camera, IMU, radar) from truck fleets.
  • Develop ML/statistical models for anomaly detection, route optimization, failure prediction, and driver behavior analysis.
  • Collaborate with cross-functional teams to enhance autonomy system performance and operational efficiency.
  • Build data pipelines to clean, transform, and structure vehicle datasets.
  • Apply time-series analysis, predictive modeling, and clustering on driving and vehicle dynamics data.
  • Design dashboards/tools to visualize behavioral and vehicle data for business/product teams.
  • Translate data findings into strategic insights to optimize autonomy algorithms and fleet operations.


Required Skills & Qualifications

  • Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related fields.
  • 6+ years of hands-on experience in data science and analytics.
  • Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
  • Experience with big data tools: Spark, AWS/GCP data pipelines, etc.
  • Strong knowledge of time-series data, signal processing, and spatiotemporal ML techniques.
  • Hands-on experience with connected vehicle or telemetry data (preferred).
  • Familiarity with vehicle dynamics, CAN data decoding, or driver behavior analytics.
  • Proficiency in SQL and visualization tools (e.g., Tableau, PowerBI, Plotly).


Preferred Skills

  • Experience with deep learning frameworks (TensorFlow, PyTorch).
  • Expertise in geospatial and time-series data.
  • Exposure to big data ecosystems (Spark, Hadoop), NoSQL databases.
  • Familiarity with Docker, CI/CD, and version control (Git).
  • Background in autonomous systems, IoT, or mobility platforms.


Good to Have

  • Automotive, logistics, or mobility analytics experience.
  • Understanding of autonomous driving stack, sensor fusion.
  • Exposure to edge AI or model optimization techniques.

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