Data Scientist

Position Overview

Leidos tackles the most challenging national defense problems using advanced signal processing and data analytics. At our San Diego office, you will join a dedicated team of scientists and engineers working on cutting-edge machine signal processing solutions. In this role you will collaborate with multidisciplinary experts in Physics and Machine Learning to design, implement, and deliver solutions that extract the maximum value from complex data sets. This position offers a unique opportunity to grow and develop your skills in an environment that values curiosity, innovation, and passion for science, technology, engineering, and math.

Key Responsibilities

• Identify, prototype, and deploy appropriate machine learning solutions utilizing state-of-the-art methods and in-depth data analysis.
• Implement advanced statistical concepts, algorithms, and techniques to extract, consolidate, and analyze unstructured, classified “big data”.
• Collaborate with applied scientists, engineers, researchers, and program managers to research and develop machine learning solutions.
• Engage in continuous learning and development, keeping current with the latest advances in AI/ML and data science.

Required Qualifications

• Bachelor's degree with 4+ years of relevant experience or Master’s degree with 2+ years of relevant experience.
• Strong understanding of machine learning theory, concepts, and algorithms.
• Proficient in modern data exploration techniques and tools.
• Experience developing and implementing machine-learned solutions.
• Familiarity with modern AI/ML algorithms and libraries.
• Fluency in C/C++ and Python.
• Strong written and verbal communication skills.
• Ability to work on-site full-time in San Diego, CA.
• Must hold an active US Government Top Secret security clearance.

Preferred Qualifications

• Experience performing research to develop data science solutions.
• Experience applying advanced physical and mathematical concepts in software applications.
• Experience with active or passive sensor data and relevant signal processing techniques.
• Experience with Large Language Model (LLM) development and deployment.
• Familiarity with Fortran or Matlab.

Benefits & Perks

• Compensation: Competitive pay package with a pay range of $87,100.00 - $157,450.00.
• Health and Wellness programs
• Income Protection and Paid Leave
• Retirement benefits