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Battery Data Scientist

2 weeks ago

Pune, India Ecozen Solutions Full time

As Battery Data Scientist, you would be part of the IoT and Analytics team at Ecozen, which is building state of the art analytics for physical systems including Battery systems for EV and Energy Storage Systems.

**Responsibilities**:

- You should be passionate to solve battery analytics problems using mix of Physics and data-based approaches
- Explore different feature extraction methodologies and performance metrics of batteries under different battery usage and ageing conditions for discovering insights
- Conduct primary and secondary research for deeper understanding of battery behaviors and build novel modelling approaches
- 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:

- Background in Electrochemistry and experience in Battery modelling/simulations with sound 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 into production