Principal Data Scientist

About Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.)

About EpiSci

EpiSci, an Applied Intuition company, develops next-generation, tactical autonomy solutions for national security problems. EpiSci’s autonomy software is technology agnostic, operationally informed, tactically relevant, and has piloted swarms of uncrewed aerial systems and tactical fighter aircraft. Additional applications include crewed-uncrewed teaming for air dominance, cognitive sensors, and networks for advanced communications systems, as well as battle management command and control for informed decision-making. EpiSci delivers unmatched speed, cost-efficiency, and scalability as the preferred partner for defense agencies and industry teams seeking mission-critical autonomy solutions.

About the role

As a Principal Data Scientist, you will develop and maintain the data strategy for EpiSci. You will work with engineers and software product owners to determine what data is needed for training and evaluating autonomy components and solutions and how that data can be obtained. You will work with tactical experts and test engineers to determine the metrics that are needed for test and evaluation, and you will develop plans to gather and incorporate these metrics into the autonomy development workflow. You will support testing campaigns that take autonomy solutions from simulation to system- and hardware-in-the-loop testing, then to live test. In collaboration with data engineers, you will find solutions for historical data management and comparison of different baselines. The role involves research, innovation, software prototyping, planning, documentation, and productization support.

At EpiSci, you will:

• Develop data requirements and tool maturation plans for the full scope of the company’s product roadmap
• Work with data engineers to design solutions for gathering and leveraging test and evaluation metrics, including the use of live, virtual, and constructive simulation environments
• Assist machine learning engineers in the design of model architectures and algorithms for environments that include competition, low- to high-fidelity models of flight and electromagnetic effects, and partially observable information
• Work with customer testing communities to ensure that test plans account for the generation, collection, and analysis of the data necessary to meet program objectives, including solutions for sim-to-real challenges
• Work with autonomy engineers to improve development and testing workflows through better use of simulation, data, metrics, and software tools
• Write prototype and data management code in Python 3.10+ and other languages as needed

We're looking for someone who has:

• Master’s degree or equivalent experience in data science, operations analysis, statistics, or a related field
• Experience working with highly scalable simulation environments
• Familiarity with military domains such as combat tactics, tracking and fusion, battle management, planning, and autonomous decision-making
• Strong fundamentals in probability, statistics, modeling, and simulation
• 6+ years of hands-on experience in data science
• The ability to prototype algorithms and solutions and conduct analysis using languages and tools such as Python, R, Matlab, SQL and noSQL databases

Travel Requirements:

• Willing to travel for company business between our offices, as well as to customer sites (~10%)
• This role can be ba