Battery/Cell Modeling Engineer

6 years

0 Lacs

Posted:2 months ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Assistant Manager with 6-7 yers expereince for Battery/Cell Modeling Engineer role Lead and mentor a team of data scientists and analysts working on vehicle telemetry, usage, and performance data. Write and optimize complex SQL queries to analyze large-scale, time-series EV telemetry datasets (e.g., battery voltage/current, temperature, SOH, motor efficiency, torque, speed, trip patterns). Develop diagnostic algorithms and SOH estimation frameworks using real-world data to monitor and predict subsystem health (battery, motor, thermal). Translate raw data into high-impact visualizations, KPIs, and trend analyses to support system simulations and control strategy tuning. Collaborate with 1D system simulation engineers to correlate model-based results with real-world behavior and suggest model improvements or boundary conditions. Partner with requirement engineers and product managers to define data-backed feature requirements and validate them through in-field performance metrics. Build dashboards and pipelines for field failure diagnostics, early-warning systems, and OTA update validations. Interface with firmware, controls, and thermal teams to identify improvement areas based on field usage patterns. Design A/B experiments or cohort studies to measure the impact of software updates, control calibrations, and new features on vehicle performance. Must Have: Strong SQL skills; experience with distributed data processing (e.g., Spark, Hive, Presto) is a plus. Proficient in Python (Pandas, NumPy, Matplotlib, scikit-learn); experience in applying ML techniques to engineering datasets is advantageous. Deep domain knowledge of EV subsystems: battery pack behavior, motor drive efficiency, thermal limits, and SOH/SOC estimation. Experience working with simulation or modeling teams (1D/0D tools like Simulink, AMESim, GT-Suite, etc.) to validate or enhance model accuracy using field data. Proven leadership experience in a cross-functional setup. Must Have: Bachelor's or Master’s degree in Data Science, Computer Science, Electrical/Mechanical Engineering, or a related field. 6+ years of experience in data analytics or data science, preferably with time-series/telemetry data in automotive, energy, or mobility domains. Good To Have: PhD/Master’s degree in Data Science, Computer Science, Electrical/Mechanical Engineering, or a related field. 4+ years of experience in data analytics or data science, preferably with time-series/telemetry data in automotive, energy, or mobility domains. Show more Show less

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