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Battery Data Scientist

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Fluence

2mo ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Engineering
  • Quick Apply

AI generated summary

  • You need a Bachelor's/Master’s in computer science or related field, 3-5 years of experience, strong Python skills, knowledge of AWS, statistical analysis, and battery systems expertise.
  • You will analyze battery data, develop algorithms, create data pipelines, clean and prepare data, and collaborate with the team to support data-driven decisions for battery systems.

Requirements

  • 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.
  • 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.

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.

FAQs

What qualifications are required for the Battery Data Scientist position?

A Bachelor's or Master’s degree in computer science or related fields, along with a background or passion in Data Science, Statistics, Data Engineering, or related areas is required.

Is experience in battery systems necessary for this role?

While a strong understanding of battery systems is desired, experience in battery systems is not strictly necessary; however, familiarity with battery analytics and performance metrics is beneficial.

What programming languages should candidates be proficient in?

Candidates should have programming fluency in Python, especially with data science and visualization packages.

What platforms and tools should candidates be familiar with?

Candidates should have working knowledge of AWS, ML platforms, Snowflake, and Power BI Dashboard.

How will the role involve teamwork?

The Battery Data Scientist will be expected to effectively collaborate and communicate with team members, contributing to agile development processes.

Is experience with specific software or programming languages favored?

Yes, experience with tools such as Tableau, SQL, R, Perl, Scala, JMP, Octave, Matlab, Simulink, C++, Julia, and Go is desired.

How much industrial experience is preferred for this position?

The position prefers candidates with 3 to 5 years of industrial experience.

What are some key responsibilities of the Battery Data Scientist?

Key responsibilities include developing data pipelines, testing and validating algorithms, applying coding and data analysis for decision-making, and meeting battery data analysis requests.

What kind of environment should candidates expect to work in?

Candidates can expect to work in a fast-paced, US-based, and diverse environment.

Are there any specific areas of expertise in battery technology that are particularly valued?

Yes, deep understanding of lithium-ion electrochemistry, state estimation, safety, thermal gradients, internal resistance, and battery life degradation algorithms are valued.

Is a background in materials science or engineering relevant for this position?

Yes, a Master’s degree in Materials Science, Chemical Engineering, Electrical and Computer Engineering, Mechanical Engineering, or related fields is highly relevant.

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Fluence

Transforming the way we power our world.

Manufacturing & Electronics
Industry
1001-5000
Employees
2018
Founded Year

Mission & Purpose

Fluence is a global market leader in energy storage products and services, and cloud-based software for renewables and storage. With a presence in over 40 markets globally, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable energy storage products, comprehensive service offerings, and the Fluence IQ Platform, which delivers AI-enabled SaaS products for managing and optimizing renewables and storage from any provider. The company is transforming the way we power our world by helping customers create more resilient and sustainable electric grids. (Nasdaq: FLNC)