Job Description

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).

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