Job Title : Senior Data Scientist
Location : Herndon, VA (Onsite / Hybrid)
Employment Type : Full-Time
About the Role
- We are seeking a Senior Data Scientist with strong expertise in Battery Management Systems (BMS) algorithms , Python-based data visualization , and supervisory experience .
- The ideal candidate will lead the design, development, and implementation of data-driven solutions that enhance performance, efficiency, and reliability of battery systems.
- This role involves both hands-on technical work and team leadership responsibilities.
Key Responsibilities
Develop, validate, and optimize Battery Management System (BMS) algorithms for state estimation, fault detection, and predictive maintenance.Lead a small team of data scientists and analysts, providing mentorship, direction, and technical guidance.Design and implement data models , machine learning algorithms , and statistical analysis frameworks to support product and engineering decisions.Use Python for data analysis, modeling, and visualization (e.g., Matplotlib, Seaborn, Plotly, Dash, or similar libraries).Collaborate closely with cross-functional teams, including hardware engineers, software developers, and product managers, to translate business needs into analytical solutions.Ensure data integrity, scalability, and model performance across diverse datasets.Communicate insights and technical findings effectively to both technical and non-technical stakeholders.Required Skills & Qualifications :
Master's or Ph.D. in Data Science, Electrical Engineering, Computer Science, or a related field .Experience in data science, with at least 2 years in a leadership or supervisory role .Hands-on experience developing and validating BMS algorithms (SOC, SOH, SOP estimation, thermal modeling, etc.).Proficiency in Python and related data visualization tools .Strong background in machine learning , statistics , and data-driven system modeling .Experience with time-series data , sensor data analysis , and predictive analytics .Excellent communication, leadership, and problem-solving skills.Preferred Qualifications :
Experience working with automotive , EV , or energy storage systems .Familiarity with embedded systems and real-time data acquisition .Knowledge of cloud-based data platforms (AWS, Azure, or GCP).