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Qualification: B. Tech / M. Tech in Computer engineering / Data Science / Mechanical / Electrical / E & TC or Similar.
Experience: 2 to 4 years
Roles & Responsibilities:
-Processing and managing large scale raw time series data from battery testing.
-Extracting and developing performance KPIs to assess battery degradation, efficiency, and ageing.
-Automating data pipelines and improving analytical methods for deeper insights.
-Assessing correlations among different sample iterations and tests conducted at various levels, including cell and pack testing.
-Maintaining continuous communication with test stakeholders is crucial, as effective knowledge transfer relies on strong written and verbal communication skills.
-Actively collaborating on enhancing our methods, fostering a culture that welcomes fresh ideas and approaches.
-Postprocessing of the data and summaries performance preparation.
-Identify anomalies, trends, and root causes of test failures.
Good to Have:
-Good knowhow of programming languages like Python (Library knowledge PyBamm), MATLAB etc.
-Advance Microsoft excel skills is must.
-Knowledge of battery fundamentals (Li-ion chemistry, degradation mechanisms, SOC/SOH estimation) is good to have.
-Good knowhow of Power BI, Tableau, SQL tools.
-Good analytical skills are must.
-Good Communication skills
Additional Skills :
Knowledge of battery chemistries understanding is good to have
Job ID: 148909777
Skills:
Model Building, Data Visualization, Data Analytics, Python, Automotive data types
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