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    Data Scientist - San Jose, United States - Anthro

    Anthro
    Anthro San Jose, United States

    1 week ago

    Default job background
    Technology / Internet
    Description
    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
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