Senior Data Scientist

Luna Innovations

Luna Labs is looking for a Senior Data Scientist for a growing team building analytics solutions to support product development of embedded sensors. This position will be the eventual Team Leader of the Data Science and Analytics team supporting all of Luna Labs.

You are a second level data scientist with all the requisite skills in math, statistics, programming, data preparation, machine learning, software, cloud computing, data engineering, and data visualization / dashboarding. You have a track record of putting software into production as part of a team. You have done some project management and maybe even ran your own project, now you are looking to take your career to the next level.

Key Responsibilities

  • Develop analytics solutions to support existing corrosion sensors and develop solutions for future Non-Destructive Evaluation and Condition-Based Monitoring sensors
  • Teach, Coach, and Mentor younger data scientists, data engineers, and software engineers
  • Project Management, Problem Definition, Problem Decomposition
  • Prioritization of competing projects and the corresponding resource allocation
  • Conduct Independent Research and Development
  • Support the other Research Groups within the Division (BioTech and Advanced Materials)
  • Develop solutions to internal business problems to make better decisions and become more efficient

Experience and Qualifications


  • MS or PhD in Computer Science, Engineering, or Mathematics
  • 8+ Years of Experience
  • Programming experience with at least one modern language such as Python, JavaScript, C++, or C including object-oriented design with disciplined documentation practices for reproducibility
  • Experience in the design, development, and validation of predictive models and visualization techniques to enable data-driven decision making
  • Experience in commercializing analytics software
  • Ability to analyze large quantitative and qualitative, structured and unstructured, datasets from disparate sources
  • Experience researching advances in data science and software development in academia and industry and applying these in practical applications
  • Strong technical writing and presentation skills

Beneficial Skills and Experience:

  • Industry experience in a ML/AI engineer or data scientist role building and deploying ML models or hands-on experience with neural network modeling
  • Experience with numeric computing software (numpy, scipy, MATLAB, LabVIEW)
  • Experience with NoSQL (MongoDB) and SQL (SQLite) databases
  • Data formats – CSV, JSON, XML
  • Use of Jira and Bitbucket for project management
  • Prior work with microcontroller-based hardware and firmware (C, RTOS)


  • Devices & Instrumentation
  • Health Tech & Software

Job Type



Charlottesville, Va
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