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Data Scientist (TS/SCI)

Vantor
Herndon, USA
Full-time
Senior · 6+ years experience
Onsite
Discovered 3 weeks ago
pythonpytorchscikit-learnsqltensorflow

Full Job Posting

Responsibilities:

  • Data preparation
  • Feature engineering
  • Statistical modeling
  • Predictive analytics
  • Deep learning
  • Time-series analysis
  • Model validation
  • Explainable AI
  • Performance benchmarking
  • Technical documentation
  • Automate and maintain data extraction, cleaning, processing, and analysis workflows using Python, SQL, and ETL tools under established best practices.
  • Process and analyze structured and unstructured datasets using big data or cloud-native frameworks (e.g., Spark, Hadoop, or managed cloud services).
  • Develop, test, and evaluate predictive models and statistical analyses to support mission-focused use cases.
  • Contribute to end-to-end data science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team members as needed.
  • Write clear, well-structured documentation of methods, assumptions, and results; assist with briefings or presentations to technical and non-technical stakeholders.
  • Support the use of Large Language Models (LLMs) within existing systems and workflows.
  • Collaborate closely with data scientists, engineers, analysts, and mission partners to refine requirements and iterate on solutions.
  • Minimum Qualifications:
  • US Citizen and must have an active TS/SCI clearance, with ability to obtain CI Poly.
  • 6 years of professional experience in data science, analytics, or data engineering roles.
  • Bachelor’s degree in data science, computer science, engineering, statistics, GIS, or related discipline. Degree may be substituted with an additional 4 years of experience.
  • Strong coding proficiency in Python and SQL.
  • Hands-on experience with data manipulation, feature engineering, machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow), and automation tools.
  • Experience contributing to full-cycle data projects, including data preparation, modeling, validation, and reporting.
  • Ability to clearly communicate technical concepts and analytical results in writing and verbally.
  • Ability to work effectively in a collaborative environment, taking direction and feedback while owning assigned technical tasks.
  • Must be able to work on-site in Herndon, Va, as required.

Preferred Qualifications:

  • Master’s degree in data science, computer science, statistics, engineering, or a related technical field.
  • A strong background in statistics and graph analytics.
  • Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.
  • For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
  • Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
  • The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
  • The date of posting can be found on Vantor's Career page at the top of each job posting.
  • To apply, submit your application via Vantor's Career page.
  • EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Qualifications

  • US Citizen and must have an active TS/SCI clearance, with ability to obtain CI Poly.
  • 6 years of professional experience in data science, analytics, or data engineering roles.
  • Bachelor’s degree in data science, computer science, engineering, statistics, GIS, or related discipline. Degree may be substituted with an additional 4 years of experience.
  • Strong coding proficiency in Python and SQL.
  • Hands-on experience with data manipulation, feature engineering, machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow), and automation tools.
  • Experience contributing to full-cycle data projects, including data preparation, modeling, validation, and reporting.
  • Ability to clearly communicate technical concepts and analytical results in writing and verbally.
  • Ability to work effectively in a collaborative environment, taking direction and feedback while owning assigned technical tasks.
  • Must be able to work on-site in Herndon, Va, as required.
  • Master’s degree in data science, computer science, statistics, engineering, or a related technical field.
  • A strong background in statistics and graph analytics.
  • Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.
  • For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

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