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Full Time Nfl Data Scientist Jobs (NOW HIRING)

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Cmu

Data Scientist

Arlington, VA

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

Cmu

Data Scientist

Pittsburgh, PA

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

Nissan Motor Co., Ltd.

Data Scientist

Smyrna, TN · On-site

Location(s): Smyrna, TN Job Schedule: Full-time, Hybrid (4 days on-site) Education Requirement ... The Data Scientist owns end-to-end execution-from problem framing and solution design to model ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

Willingness to work full time in a hybrid work environment in theWashingtonDC area. * Bachelor's or Master'sDegree in a technical field (e.g., data science, statistics, computer science, mathematics ...

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Lorven Technologies

Data Scientist

Tampa, FL · On-site

Austin, TX 78757 (or) Tampa, FL 33602 - Remote Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

Booz Allen Hamilton, Inc.

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Data Scientist

Dayton, OH

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

Willingness to work full time in a hybrid work environment in the Washington DC area. * Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC ...

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Full Time Nfl Data Scientist information

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$37.5K

$122.7K

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How much do full time nfl data scientist jobs pay per year?

As of Jul 19, 2026, the average yearly pay for full time nfl data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Nfl Data Scientist vs Full Time Nfl Data Analyst?

AspectFull Time Nfl Data ScientistFull Time Nfl Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData reporting, visualization, descriptive analysis
Employer & Industry UsageSports teams, NFL organizations, sports analytics firmsSports teams, NFL organizations, media outlets

Full Time NFL Data Scientists focus on developing predictive models and advanced analytics, while Full Time NFL Data Analysts primarily handle data reporting and visualization. Both roles require strong analytical skills and familiarity with NFL data, but Data Scientists typically work on more complex modeling tasks, whereas Data Analysts focus on interpreting and presenting data insights.

What cities are hiring for Full Time Nfl Data Scientist jobs? Cities with the most Full Time Nfl Data Scientist job openings:
What are the most commonly searched types of Nfl Data Scientist jobs? The most popular types of Nfl Data Scientist jobs are:
What states have the most Full Time Nfl Data Scientist jobs? States with the most job openings for Full Time Nfl Data Scientist jobs include:
Full Time Nfl Data Scientist jobs near you
Data Scientist

Data Scientist

Elder Research

Arlington, VA • On-site

Full-time

Re-posted 14 days ago

Job description

Data Scientist
General Information
Requisition # 674
Locations USA-VA-Arlington
Posting Date 03/04/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
  • Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration
  • Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation
  • Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science-driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders
  • Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results
  • Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact
  • Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment
  • Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills

Minimum Qualifications:
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • 2-10+ years of experience in data science, analytics, or a related technical field
  • Experience using version control systems (e.g., Git) and collaborative development practices
  • Strong understanding of relational databases and SQL
  • Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone
  • Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
  • Willingness to travel and work on-site at client locations as required by project needs

Preferred Qualifications:
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)
  • Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS
  • Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities
  • Experience with containerization and environment management (e.g., venv, conda)
  • Experience operating in secure or remote government environments, including use of bash and command-line tools

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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