Data Scientist

OPS Consulting, LLC; Laurel (MD); On-site; USD 49,996 - 290,004; Full time

Benefits offered by this job

Healthcare benefits

Retirement benefits

Education benefits

Time off benefits

Job summary

A leading consulting firm is seeking a Data Scientist to join their robust team in Maryland. This critical role focuses on extracting insights from complex datasets, utilizing skills in data modeling, statistical analysis, and proficiency in Python, Jupyter notebooks, and Pandas. The ideal candidate will have a Bachelor’s degree in a quantitative field and at least three years of relevant experience. Comprehensive benefits are offered, as well as a competitive pay range from about $49,996.80 to $290,004.00.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative discipline.
• Minimum of three (3) years of relevant data analysis or data science experience.
• Experience with data compilation from multiple sources using scripting and APIs.

Responsibilities

• Apply core data science skill areas.
• Compile and manage data from multiple sources.
• Develop statistical analyses and data models for large datasets.

Skills

Data modeling

Statistical analysis

Python

Data visualization

Data curation

Education

Bachelor's degree in a relevant field

Tools

Jupyter notebooks

Pandas

Job description

Overview

For the OPS Consulting team, the power to help means helping our clients, helping serve the mission, helping our employees and their families, and helping the community. OPS Consulting has over two decades of experience specializing in mission-critical operations. We are thought leaders and innovators. The ingenuity of our developers, engineers, cyber experts, linguists, and analysts is dedicated to empowering our clients, fulfilling The Mission, and remaining trusted leaders and advisers in national security and technology solutions.

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.

Equal Opportunity

The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

Pay Range

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 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.

Benefits

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.