Data Scientist - Python, Jupyter, Spark (2026-0177)

Acclaim Technical Services

$180K — $200K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, or Computer Science, or related fields with relevant coursework.
  • 10 years of relevant experience or 12 years with an Associate's degree in closely related position.
  • Proven experience in machine learning, advanced analytical algorithms, and programming, specifically in Python.
  • Competent in statistical analysis, including inference, hypothesis testing, and data modeling.
  • Strong understanding of data management and techniques for data curation and visualization.

Responsibilities

  • Support the identification and mapping of large-scale datasets in defense and cybersecurity contexts.
  • Integrate AI techniques to inform and develop cybersecurity policies for mission partners.
  • Document and assess metrics to enable leadership decision-making based on data analysis.
  • Translate mission-related analytic questions into technical requirements for data handling.
  • Communicate complex technical findings to non-technical stakeholders effectively.
  • Develop and implement qualitative and quantitative methods to assess various datasets.

Benefits

  • Comprehensive healthcare coverage including wellness programs.
  • Financial benefits including retirement plans and savings options.
  • Support for family needs and continuing education opportunities.
  • Flexible work arrangements to promote work-life balance.
  • Generous time-off policies to ensure employee well-being.
Full Job Description
We are actively recruiting for a Data Scientist with TS/SCI w/ Poly tosupport our Defense and Homeland Security Division in Annapolis Junction, MD

In this role, you will support the understanding, identification, and mapping of large-scale datasets. You will integrate AI techniques to help develop and deliver cybersecurity policy to mission partners and document and assess metrics to help leadership make informed decisions. Experience with Python, Jupyter, Spark, data curation and visualizations/dashboards, and understanding of generative AI techniques strongly preferred.

The Data Scientist shall possess the following capabilities:
  • Foundations: (Mathematical, Computational, Statistical).
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
  • Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical information to non-technical audiences.
Qualifications:
  • Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).
  • Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

The salary range for this position is between $180,000 - $200,000

SALARY TRANSPARANCY

There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.

At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more at Employee Resources

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