Data Scientist
San Jose, California, United States
Applications have closed
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 💰
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
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