Senior Data Scientist — AI/ML for Mission-Critical Analytics

Peraton; Herndon (AR); On-site; USD 130,000 - 216,000; Full time

Job summary

Peraton is seeking a data science leader to drive advanced analytics, ML/AI initiatives, and data-driven decision making across programs in the United States. The role will involve collaborating with the CTO and interdisciplinary teams to solve complex data problems and translate analytics into actionable insights.

Candidates should have deep experience in Python, ML models, and data architectures, with ongoing eligibility for TS/SCI and a Polygraph.

Qualifications

• Bachelor’s degree in a related field with 9+ years of relevant experience; a Master’s degree with 7+ years; a PhD with 3+ years; or an additional 4 years of experience in lieu of a degree
• Experience with TensorFlow, Large-language models or Hugging Face models
• Knowledge of advanced analytics and data storage
• Knowledge of various data science applications and architectures
• Knowledge of Python or R
• Active TS adjudication with ability to obtain the SCI and pass a Polygraph
• Ability to obtain a Security+ certification within 30 days of employment

Responsibilities

• Work with customer’s Chief Technology Office to further application and understanding of data science.
• Apply technical methods to data science problems supporting business and mission users.
• Advise or lead interdisciplinary teams throughout the full course of a data science project life cycle.
• Understand Machine Learning and apply ML, multivariable calculus, and linear algebra techniques (e.g., k-NN, random forests, ensembles).
• Understand Data Visualization and employ visualization to enable data-driven decisions.

Skills

TensorFlow / LLMs

Advanced analytics

Data storage

Data science architectures

Python or R

Security+ readiness

Clearance eligibility (SCI/Polygraph)

Education

Bachelor/Master/PhD in related field with experience

Job description

Peraton is seeking a data science leader to drive advanced analytics, ML/AI initiatives, and data-driven decision making across programs in the United States. The role will involve collaborating with the CTO and interdisciplinary teams to solve complex data problems and translate analytics into actionable insights.

Candidates should have deep experience in Python, ML models, and data architectures, with ongoing eligibility for TS/SCI and a Polygraph.