In this position, you will be the professional data science authority and professionally lead our data science group to invent, design and implement new advanced research tools, and ML-based, DL-based predictors and analyzers, for our extreme fast charge lithium battery research.
We are a multidisciplinary data science molecule that collects large datasets of battery testing data across thousands of channels, in various form factors, in order to discover new innovative research insights, process optimizations and performance and failure advance predictors.
Our technical stack includes: MySQL, Postgres and Redis databases on premise and in GCP, Jupyter notebooks for researchers with Bokeh applets for visualizations and more, all in object-oriented Python.
Essential Duties and Responsibilities:
Work with large and complex data sets
Plan, design and execute machine learning and artificial intelligence algorithms for various electrochemical predictions and optimizations.
Professionally lead the team to collect, transform, process and analyze our data
Be involved in cutting-edge research that will change the world of electric vehicles
To perform the job successfully, an individual should demonstrate the following competencies:
M.Sc. or PhD. in a quantitative field such as: Mathematics, Computer Science, Chemistry, Physics, Statistics or related.
3+ years of experience as an applied data scientist – a must
Expert programming skills – Python and SQL – a must
Advanced machine learning experience and deep learning – a must
Advanced Chemistry, Physics and Electro-chemistry knowledge – Great Advantage
Google Cloud Platform (GCP) experience, and specifically machine learning tools – Advantage