Lead Automotive Telemetry Data Scientist

Key Skills

Java Programming, Oracle, Python Programming, Database, SQL, Apache Hadoop, Machine learning techniques, Data science techniques, R Programming, MySQL, Data Analysis

Job Description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.

The focus of the Hazard Identification Department, a member of the Transportation Safety Division, is to advance the United States and the world to the next level of transportation safety. We develop and apply analytical capabilities and techniques to generate in-time safety intelligence and actionable mitigations from operational data.

The Lead Automotive Telemetry Data Scientist will be part of the surface transportation safety team applying their expertise to multiple automotive, roadway, and autonomy safety research studies conducted in collaboration with government and industry partners. You will contribute to major surface transportation initiatives that aim to utilize vehicle telemetry data to make our nation’s roads safer.

Studies include the assessment of a variety of data collection and management techniques, identification of emerging safety risks that could be detected or predicted with telemetry data, application and development of machine learning models applied to vehicle telemetry data, and interpretation of safety analysis results to focus on actionable risk mitigation.

Responsibilities Include :

• Engaging with government and industry sponsors to understand desired safety outcomes and associated research activities.
• Developing technical work plans to achieve tangible safety benefits using vehicle telemetry data or other associated datasets.
• Management and standardization of vehicle telemetry data to enable safety analysis.
• Application of modern data analysis and machine learning techniques to vehicle telemetry data to identify emerging safety risks, quantify known safety risks, and inform safety research questions.
• Interpreting data model outputs in the context of automotive safety.
• Providing technical leadership to other MITRE staff in vehicle telemetry data analysis.
• Representing MITRE on select committees/boards/working groups.

Required Qualifications :

• Bachelor’s degree in Mechanical Engineering, Computer Science, Data Science, Mathematics, Electrical Engineering, or related fields.
• 5 or more years of related job experience.
• Familiarity with automotive systems and subsystem architectures.
• Software programming knowledge/experience (e.g., Python, R).
• Experience working with databases (e.g., Oracle, MySQL).
• Skills in safety management, spanning functional, organizational, and system views.
• Able to operate effectively in complex, multi-stakeholder environments.
• Able to creatively solve problems and think holistically about challenges and potential solutions.
• Able to work collaboratively and effectively in a cross-organizational (e.g., matrixed) environment.
• Able to work independently on multiple projects simultaneously.
• Effective written and verbal communication skills and the ability to convey complex concepts in a clear, compelling, and organized manner to a variety of audiences.

Preferred Qualifications :

• Master’s degree in related field.
• Experience with Connected Vehicle (CV) architectures, including requirements development and data collection methods.
• Experience with analysis of automotive telemetry data from both Internal Combustion Engine (ICE) and Electric Vehicle (EV) platforms.
• Familiarity with the key priorities facing the automotive industry.
• Experience with big data architectures and querying (e.g., Hadoop).
• Experience with machine learning libraries (e.g., scikit-learn).

This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Suitability - FAA

Subject to all federal and state laws, rules and regulations, MITRE requires all employees to be fully vaccinated against COVID-19. Newly hired employees must be fully vaccinated prior to their employment start date. MITRE will provide reasonable accommodation to individuals who are legally entitled to an exemption under applicable laws so long as it does not create an undue hardship for MITRE and/or does not pose a direct threat to the health or safety of the employee or others in the workplace.