Responsibilities:

• Build and optimize Data pipelines to enable effective data analysis using batch and stream processing technologies
• Build Data models and ML/AI based models to extract analytical and actionable insights for business
• Work with domain experts and physics based understanding of systems to evolve hybrid (Data + physics) based methods for interpretable and more robust models.
• Develop new monitoring indicators and their associated algorithms using time series prediction and anomaly detection techniques, with the final goal to deploy those using cloud-based tools.

Qualifications:

• Bachelors in CS/Statistics/Electrical Engineering/Mechanical Engineering
• Masters or PhD is preferred with experience (professional or research) in Lithium ion Battery modelling/simulation
• 3+ year of experience working with Data Science/AI based analytics and/or LIB design/modelling/simulation

Expected Skills:

• Knowledge of Data wrangling, Data cleaning, Data visualization skills
• Prior experience working with large volume time series data and data from real devices
• Knowledge in signal processing (Kalman Filters, Particle filters, Optimization algorithms etc.), Statistics, probabilistic machine learning techniques (like Bayesian statistics, RVM etc.)
• Programming skills in Python and working knowledge of deep learning frameworks like TensorFlow, Pytorch, Keras, LSTM, CNN etc
• Comfortable working with SQL/noSQL databases and AWS cloud services

Good to have Skills:

• Experience in Battery Data and understanding of Li-Ion battery physics
• Good analytical, debugging and tracing skills and practical understanding of clean code principles (SOLID, DRY, KISS)
• Experience in developing & deploying the end-to-end data science pipeline for production