M
Data Scientist
Search Jobs
Search by job, company or skills
Search by job, company or skills
Job Responsibilities :
Work with road accident databases: RASSI, GDAS, CDAS, STRADA
Analyze accident environment, vehicle behavior, and human factors
Conduct ADAS/AEB/FCW simulations using pre-crash time-series datasets
- Understand Telematics Control Unit (TCU) and IoT vehicle data
Perform time-series analysis, signal processing, feature engineering
Lead accident data cleanup, ETL preparation, and validation
Conduct exploratory data analysis and present insights
Develop ML/DL models, optimize, validate, and deploy models
Visualize trajectories, impact points, TTC metrics
Mentor junior analysts in automotive data analytics
Technical Skills - Essential
Minimum 4 years in data analytics, crash analysis, or ADAS systems
Hands-on work with RASSI / GDAS / CDAS / STRADA
Strong Python skills (pandas, NumPy, matplotlib, sklearn)
Statistical analysis & ML technique
Deep Learning: RNN, LSTM, GRU
Experience with pre-crash telemetry/ time-series data
Model deployment awareness
Technical Skills - Desirable
Accident simulation: PC-Crash, OpenPASS
Exposure to ADAS, CAN protocol, vehicle dynamics
IoT/Telematics analytics experience
Tableau/PowerBI visualization
Job ID: 145205111
Skills:
.NET, bedrock , S3, Tensorflow, Lambda, Pytorch, Javascript, XGBoost, Python, AWS, Redshift, Sql, ECS, Machine Learning, Databricks, LangChain, Generative AI, LightGBM, Scikit-learn, EKS, SageMaker, Large Language Model, Athena, LlamaIndex
Skills:
business understanding , Pyspark, Data Management, Sql, Software Engineering, DevSecOps, Machine Learning Algorithms, Python, Open-Source Programming Languages, Predictive Models, Data Preprocessing, Recommendation Engines, Statistics, Deep Learning Models, Anomaly Detection Systems, Statistical Models, Ericsson Business Intelligence and Analytics Competence, Artificial Intelligence Systems, Cloud Development
Skills:
probability , Database Systems, Power Bi, Hypothesis Testing, Tableau, Sql, Gcp, Databricks, Azure, Python, AWS, cloud platforms, machine learning libraries, data visualization tools, R, Statistics
Skills:
Data Modeling, Tensorflow, Numpy, Pandas, MLops, Pytorch, Spark, Python, API-based model integrations, data transformations, data pipelines, scikit-learn, data quality management, Tool-using agents, CI CD, Retrieval-Augmented Generation, GenAI applications, Prompt orchestration, feature engineering, Agentic workflows, Evaluation frameworks, QA risk management, model monitoring
Skills:
Docker, API development and integration, Python, AI system design, performance optimization, NLP concepts, deployment pipelines
