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Statistical Analysis Data Reconfiguration Jobs in Silver Spring, MD

Bigbear.ai

Sr. Data Scientist

Washington, DC · On-site

$140K - $215K/yr

Overview BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific ...

GRVTY

Data Scientist - Mid

Springfield, VA · On-site

You will conduct statistical analyses, develop visualizations, and present findings in a manner ... Working with data from multiple sources, you will ensure datasets remain accurate, consistent, and ...

Federated IT

Data Scientist

Washington, DC · On-site

$120 - $135/hr

Perform statistical analysis, apply data mining techniques, and build high‑quality prediction systems. * Be skilled in data visualization and use of graphical applications, including Microsoft ...

Bridge Defense

Data Scientist

Washington, DC · On-site

$120K - $135K/yr

Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. * Be skilled in data visualization and use of graphical applications, including Microsoft ...

Bridge Defense

Data Scientist

Washington, DC · On-site

$120 - $135/hr

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and use scientific techniques to correlate data into graphical, written ...

GRVTY

Data Analyst - Mid

Falls Church, VA · On-site

Experienced in preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets * Experience with programming languages and ...

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Showing results 41-60

All JobsStatistical Analysis Data Reconfiguration JobsStatistical Analysis Data Reconfiguration Jobs in Silver Spring, MD

Statistical Analysis Data Reconfiguration information

See Silver Spring, MD salary details

$30.9K

$72.6K

$121.1K

How much do statistical analysis data reconfiguration jobs pay per year?

As of Aug 10, 2026, the average yearly pay for statistical analysis data reconfiguration in Silver Spring, MD is $72,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $83,500.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Analysis Data Reconfiguration vs Data Analyst?

AspectStatistical Analysis Data ReconfigurationData Analyst
Primary FocusRearranging and transforming data sets for analysis readinessInterpreting data to generate reports and insights
Skills & CertificationsStatistical software, data manipulation, certifications like CAP or SASData visualization, SQL, Excel, often with a bachelor's degree in related fields
Work EnvironmentData processing teams, research labs, analytics departmentsBusiness units, marketing, finance, or operations teams

While both roles involve working with data, Statistical Analysis Data Reconfiguration specializes in preparing and transforming data for analysis, whereas Data Analysts focus on interpreting data to produce reports and insights. Understanding these differences helps organizations assign the right skills to each role.

What are popular job titles related to Statistical Analysis Data Reconfiguration jobs in Silver Spring, MD? For Statistical Analysis Data Reconfiguration jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Statistical Analysis Data Reconfiguration jobs in Silver Spring, MD look for? The top searched job categories for Statistical Analysis Data Reconfiguration jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Statistical Analysis Data Reconfiguration jobs? Cities near Silver Spring, MD with the most Statistical Analysis Data Reconfiguration job openings:
Statistical Analysis Data Reconfiguration jobs near you
Infographic showing various Statistical Analysis Data Reconfiguration job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $72,607 per year, or $34.9 per hour.

Sr. Data Scientist

Bigbear.ai

Washington, DC • On-site

$140K - $215K/yr

Full-time

Re-posted 21 days ago

Job description

Overview

BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. The successful candidate will proactively retrieve information from various sources, analyze it for better understanding, and assist with building AI tools that automate key processes. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the “ground level” of a new and exciting program with a critical Department of War (DoW) customer.


Responsibilities

Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, apply data mining techniques, and build high quality prediction systems. The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Additionally, the candidate should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.


Qualifications

  • Must possess a TS/SCI clearance with a CI poly (or ability to obtain)

  • Bachelor’s degree in data science, data engineering, mathematics, or another related field

  • Minimum of 8 years of experience conducting analysis using data science or engineering, with at least a portion of experience within the last 2 years

  • Deep understanding and experience using Python, R, and/or SQL

  • Prior experience with large data, multi-INT analytics, machine learning, and automated predictive analytics