Data Scientist

Leidos

4.1

(20)

McLean, VA

Why you should apply for a job to Leidos:

  • 4.1/5 in overall job satisfaction
  • 4.3/5 in supportive management
  • 70% say women are treated fairly and equally to men
  • 85% would recommend this company to other women
  • 85% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Our Women’s Network is one of nine employee resources groups that provides support for onboarding, networking & professional development.
  • Leidos offers programs to help employees prepare for over 95 industry-standard professional and technical certifications.
  • Leidos offers a voluntary well–being benefit program to help support employees on their personal wellness journey and earn rewards.
  • #R-00160643

    Position summary

    s critical to National Security.

    Responsibilities Include:

    • Build statistical and machine learning models, conducting natural language processing (NLP), and developing automated solutions for complex business challenges.

    • Construct and execute complex database search queries across multiple databases using SQL and API interfaces.

    • Addressing operational needs with functional, user-friendly scripts.

    • Full life cycle development, from supporting requirements generation through maintenance including prototyping, build, test and delivery.

    • Work with a team to define and deliver solutions that create efficiencies and optimize mission performance.

    • Learn and leverage technologies including AWS and Git.

    Basic Qualifications**:**

    • Must have TS/SCI with Polygraph.

    • BS degree and 12 - 15 years relevant technical experience or Master's with 10 - 13 years of relevant experience. May possess a Doctorate in technical domain.

    • Proficiency with Python is required.

    • Ability to effectively collaborate with and learn from others including end users and peer data scientists.

    • Strong SQL skills and experience with relational databases and APIs for data extraction is required.

    • Experience with supervised and unsupervised learning and natural language processing (NLP) is required. Familiarity with NLP libraries and tools (e.g., spaCy, Hugging Face, NLTK, or TensorFlow).

    • Extensive experience in data cleaning, wrangling, and deduplication of large datasets

    • Experience with frequentist statistics, probability, and predictive modeling, along with knowledge of computer science concepts, data architecture, and statistical methods.

    Preferred Qualifications:

    Familiarity with Apache Spark/Pyspark.

    Original Posting:
    June 9, 2025
    For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

    Pay Range:
    Pay Range $126,100.00 - $227,950.00

    The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

    Why you should apply for a job to Leidos:

  • 4.1/5 in overall job satisfaction
  • 4.3/5 in supportive management
  • 70% say women are treated fairly and equally to men
  • 85% would recommend this company to other women
  • 85% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Our Women’s Network is one of nine employee resources groups that provides support for onboarding, networking & professional development.
  • Leidos offers programs to help employees prepare for over 95 industry-standard professional and technical certifications.
  • Leidos offers a voluntary well–being benefit program to help support employees on their personal wellness journey and earn rewards.