Gem

Data Scientist

Gem$49K — $290K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or equivalent experience
  • Minimum of three years in data analysis or data science
  • Proficient with data integration from various sources using APIs and scripting
  • Experience applying statistical analysis and data modeling techniques
  • Skilled in Python for data analysis, particularly with Jupyter notebooks and Pandas
  • Ability to develop rapid analytic prototypes and performance metrics

Responsibilities

  • Apply core data science skills, including mathematical, computational, and statistical foundations
  • Compile and integrate data from multiple sources using computer scripting and analytic tools
  • Develop statistical analyses and models to explore and assess complex datasets
  • Design and build analytic prototypes for generating metrics and insights
  • Create reproducible data analysis workflows using Python and other data science tools
  • Translate operational questions into technical analytic requirements
  • Communicate complex analytical findings to a broad audience, including non-technical stakeholders

Benefits

  • Comprehensive healthcare plans
  • Wellness programs
  • Financial benefits including retirement plans
  • Educational assistance
  • Generous time-off policies
Full Job Description
We are looking for a Data Scientist to join a robust team in Annapolis Junction and/or Laurel, MD. This role focuses on extracting insights and value from large, complex datasets to support mission needs. The ideal candidate applies a blend of mathematical, statistical, computational, and domain-specific expertise to analyze data, develop models, and communicate clear, actionable findings to both technical and non-technical stakeholders.

Responsibilities:

  • Apply two or more core data science skill areas, including:
    • Mathematical, computational, and statistical foundations
    • Data processing, management, curation, visualization, and reproducible analytic workflows
    • Data modeling, inference, prediction, and domain-specific analysis
  • Compile, integrate, and manage data from multiple sources using computer scripting, APIs, and analytic tools.
  • Develop and apply statistical analyses, data models, and quantitative methods to explore, assess, and characterize large and complex datasets.
  • Design and build rapid analytic prototypes to generate metrics and insights, including performance metrics for sensor or system data.
  • Develop reproducible data analysis workflows using Python and common data science tools (e.g., Jupyter notebooks, Pandas).
  • Interact with APIs and existing tools to retrieve, process, and analyze data; develop or extend tools as needed to support analytics.
  • Translate mission or operational questions into technical and analytic requirements and corresponding analytic approaches.
  • Evaluate data quality, structure, and limitations, and account for these factors in analytical methods and conclusions.
  • Communicate complex analytical methods, results, and recommendations clearly to both technical and non-technical stakeholders.
  • Assess and recommend analytic techniques, tools, and technical solutions based on evolving data collection, processing, storage, and analytics capabilities and constraints.
  • Collaborate with multidisciplinary teams to support data-driven decision-making in mission environments.


Requirements:

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative discipline (or equivalent experience)
  • Minimum of three (3) years of relevant data analysis or data science experience
  • Experience with data compilation and integration from multiple sources using scripting and APIs
  • Experience applying statistical analysis and data modeling techniques
  • Proficiency in Python for data analysis, including use of Jupyter notebooks and Pandas
  • Experience developing rapid analytic prototypes and performance metrics


Security Clearance: A current government clearance, background investigation, and polygraph are required.

#OpsConsulting

#LI-JP1

Pay Range: $49,996.80 - $290,004.00

Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, work experience, education, certifications, Federal Government contract labor categories, and contract wage rates.

At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.

Similar Jobs

More Jobs at Gem

More Education, Government & Non-Profit Jobs

Find similar Data Scientist jobs: