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