Data Scientist

San Jose, California, United States

About the Job

As a Data Scientist at Anthro Energy, you will play a pivotal role in leveraging data to drive innovation in lithium-ion electrolyte technology. You will be responsible for structuring data and developing predictive models to accelerate Anthro's material development. This position offers a unique opportunity to contribute to the advancement of sustainable energy solutions in a dynamic startup environment.

What you will do

  • Develop and implement statistical and machine learning models to analyze complex datasets, identify trends, and solve problems related to battery performance and manufacturing processes.
  • Design, implement, and manage a cloud-based database system using Azure to store and process large datasets related to battery research and development.
  • Collaborate with the R&D team to design experiments and analyze experimental data for the development of novel electrolyte materials.
  • Work with consultants and contractors to build and improve internal data systems at Anthro.
  • Apply predictive modeling to enhance the performance of battery cells.
  • Utilize data visualization techniques to present findings and drive decision-making.
  • Stay abreast of advancements in AI/ML to apply cutting-edge techniques to battery technology data.

Requirements

  • Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
  • Proven experience in machine learning, predictive analytics, and statistical modeling.
  • Proficiency in programming languages such as Python, R, or MATLAB to analyze large data sets. Experience with pandas, numpy, sci-kit learn, pytorch, and similar preferred.
  • Experience with SQL and database management systems.
  • Experience in developing solutions and validating them using control theories such as adaptive filtering techniques
  • Strong knowledge of battery technology and electrochemistry is preferred.
  • Excellent problem-solving abilities and attention to detail.
  • Ability to communicate complex data in a clear and actionable manner.
  • Experience with big data platforms and tools is a plus.

Benefits

  • Competitive salary and equity compensation commensurate with experience
  • Generous paid time off and sick days in addition to Holidays
  • Medical, dental, and vision coverage for team members and dependents
  • Diverse and inclusive work environment

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  3  1  0
Category: Data Science Jobs

Tags: Azure Big Data Computer Science Data visualization Machine Learning Matlab ML models NumPy Pandas Predictive modeling Python PyTorch R R&D Research Scikit-learn SQL Statistical modeling Statistics

Perks/benefits: Career development Competitive pay Equity / stock options Flex vacation Health care Startup environment

Region: North America
Country: United States

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