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Battery Data Scientist

Karnataka, India (Hybrid)

Battery Data Scientist

4 Months ago • 3-5 Years • Data Analyst • Undisclosed

About the job

15 skills required for this role

Add these skills to join the top 1% applicants for this job

jira

cpp

algorithms

scala

github

aws

python

perl

sql

matlab

data-science

tableau

power-bi

agile-development

data-driven-decisions

Job Description

Battery Data Scientist to develop Battery Analytics products. Responsibilities include data pipeline development, algorithm validation, and designing AI-powered BMS systems. Must have experience with Python, AWS, ML platforms, Snowflake, and Power BI.

Must have:

Python Programming
AWS & ML
Snowflake & Power BI
Agile Development

Good to have:

Tableau & SQL
Battery Systems
Lithium-ion Electrochemistry
Battery Life Degradation

About the job

The Battery Data Scientist will contribute to all aspects of the development of Battery Analytics products. This includes the development of data pipeline, troubleshooting battery analytics algorithms and their validation, and design and implement AI-powered advanced Battery Management Systems (BMS) products. We welcome applications from diverse multi-disciplinary battery research and data science background.

Responsibilities

Acts as one of the battery data scientists in the team to meet immediate and long-term battery data analysis requests.

Helps the team in agile development, test, and validate state-of-the-art estimation, prediction, and statistical inference algorithms in battery systems.

Contributes to data pipeline requirements of energy storage systems.

Applies (or develops if necessary) pipelines and tools to efficiently collect, clean, and prepare massive volumes of data for analysis with minimal guidance.

Uses coding and data analysis to derive data-driven decisions regarding battery systems.

Effectively collaborates and communicates with the team members.

Required Experience And Skills

Bachelor's or Master’s in computer science (or related fields/experience) with/or background/passion in Data Science, Statistics, Data Engineering, Data Mining, ML Operations (MLOps), and related fields.

Fast learning and implementing new algorithms whenever required.

Programming fluency in Python (and especially data science/visualization related packages).

Working knowledge of AWS and ML platforms, Snowflake, and Power BI Dashboard.

Working in agile software development cycles and version control tools such as Jira and Github.

Strong problem-solving skills, with the ability to combine theory with empirical observation, especially with statistical nature.

Interacting effectively and in an open, ethical, and trustworthy manner with internal and external stakeholders.

Staying proactive, self‐motivated, persistent, hands‐on, goal- oriented, and team-oriented, and work in a fast-paced, US-based, and diverse environment.

Desired Experience And Skills

Experience with Tableau, SQL, R, Perl, Scala, JMP, Octave, Matlab, Simulink, C++, Julia, and Go.

Familiarity with data acquisition systems.

3 to 5 years of industrial experience.

Master’s in Materials Science, Chemical Engineering, Electrical and Computer Engineering, Mechanical Engineering, Power Systems or related fields with deep understanding of lithium-ion electrochemistry effects as applies to simulation and modeling.

Experience and knowledge in Battery System State (State of Charge (SOC), State of Health (SOH), State of Balance (SOB), State of Energy (SOE), SOx, Capacity) estimation, battery safety, internal cell temperature and thermal gradients, internal resistance, balancing, Round Trip Efficiency (RTE), accelerated testing, open circuit voltage (OCV) prediction with hysteresis, Randles equivalent circuits, single particle models, Ficks law of diffusion, age modeling, and battery life degradation algorithms.

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