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Data Scientist

Pay
$140,000–153,000/year — pay source
Compensation and Benefits: The expected compensation range for this position is $140,000.00-$153,000.00 per year (annualized hourly rate of pay). We offer comprehensive benefits that allow you to balance work and life. A benefits summary is available from this link: https://jobs.allnativegroup.com/categories/1/benefits/1/employee-benefits Drug Free Workplace
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Work setting
Not stated
Employment
Full-time — employment source
Position Type/Expected Hours of Work Work will take place at the DEA facilities in Arlington, VA and Merrifield, VA. This is a full-time position with flexible hours based on mission requirements. Travel
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

Work authorization
Citizens onlyActive secret clearance is required

What you’ll work on

Full posting
  • Develop, train, and evaluate custom ML and AI models, supervised and unsupervised

  • Apply NLP techniques to extract and analyze unstructured data

  • Improve and expand entity extraction processes and models

  • Validate models for accuracy, stability, and bias; monitor for drift

  • Build data visualizations that explain findings to stakeholders

From the employer’s posting
Develop, train, and evaluate custom machine learning and AI models, including both supervised and unsupervised approaches.
Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data.
Improve and expand existing entity extraction processes, incorporating new entities and models to improve analytic outcomes.
Conduct model validation for accuracy, stability, and bias detection.
Build data visualizations that communicate analytic findings to technical and non-technical stakeholders.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in data science or a related quantitative field.
  • Experience can be considered in lieu of education
Qualification wording
Bachelor’s degree in data science or a related quantitative field. Experience can be considered in lieu of education
Education & alternatives
Education Bachelor’s degree in data science or a related quantitative field. Experience can be considered in lieu of education Compensation and Benefits:
Apply at Ho-Chunk

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20263 days ago
Recorded sightings
5
Last seen by us
Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$140K–$153K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 7 and day 56.

From 10,289 similar postings that came down. Coming down is not always a hire.

Ho-Chunk is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
Where the posting names them
Competencies - 3+ years of in-depth experience with at least one analytical or statistical language (for example, Python, R, or SQL). - 2+ years of custom Machine Learning and AI model training, to include supervised and unsupervised methods, and Natural Language Processing (NLP) expertise focused on unstructured data.
- 2+ years of custom Machine Learning and AI model training, to include supervised and unsupervised methods, and Natural Language Processing (NLP) expertise focused on unstructured data. - 3+ years of experience with SQL database and coding. - 2+ years of experience with data visualization tools.

Your next step

Complete your application on careers-ho-chunk.icims.com. The employer’s form will show what is required.

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  • You start with your email. New applicants then create a login, and returning ones sign in.
  • Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
  • Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.

Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Summary

All Native Group, a division of Ho Chunk Incorporated, is seeking a Data Scientist to support a Federal Agency enterprise data management and analytics program. Working within the Analytic team, the Data Scientist develops and refines machine learning and AI models, performs entity extraction and enrichment across large and complex datasets, and applies natural language processing techniques to unstructured data to advance the customer's mission objectives. This position supports an active federal contract. Any offer of employment is contingent upon Government approval of the candidate and successful completion of the DEA security clearance process.

 

Essential Functions

  • Develop, train, and evaluate custom machine learning and AI models, including both supervised and unsupervised approaches.
  • Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data.
  • Improve and expand existing entity extraction processes, incorporating new entities and models to improve analytic outcomes.
  • Evaluate enterprise data holdings and develop models and techniques that enrich data toward mission advantage.
  • Manipulate, cleanse, and prepare structured and unstructured data for model development and analysis.
  • Build data visualizations that communicate analytic findings to technical and non-technical stakeholders.
  • Collaborate within an Agile delivery team, participating in sprint planning, reviews, and continuous delivery.
  • Conduct model validation for accuracy, stability, and bias detection.
  • Establish model monitoring and retraining to detect performance drift.
  • Package and deploy validated models, including the required APIs and automation pipelines.
  • Design and implement ETL processes to prepare source data for model training.
  • Document model assumptions, data inputs, training parameters, and validation results.

 

Competencies

  • 3+ years of in-depth experience with at least one analytical or statistical language (for example, Python, R, or SQL).
  • 2+ years of custom Machine Learning and AI model training, to include supervised and unsupervised methods, and Natural Language Processing (NLP) expertise focused on unstructured data.
  • 3+ years of experience with SQL database and coding.
  • 2+ years of experience with data visualization tools.
  • 2+ years of experience with the ability to manipulate unstructured data.
  • Experience working in a fast-paced Agile development environment. 
  • Experience supporting federal law enforcement or mission-focused data programs is a plus

 

Supervisory Responsibility

None for this position

 

 

Physical Demands 

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

  • Must be able to remain in a stationary position 75% of the time.
  • Occasionally moves about inside the office to access file cabinets, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
  • Expresses or exchanges ideas by means of the spoken word.  Those activities in which they must convey detailed or important spoken instructions to other workers accurately, loudly or quickly.
  • Frequently moves standard office equipment up to 25 pounds.
  • Must be able to work indoor conditions 90% of the time.

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

 

Position Type/Expected Hours of Work

Work will take place at the DEA facilities in Arlington, VA and Merrifield, VA. This is a full-time position with flexible hours based on mission requirements. 

 

Travel

Occasional CONUS travel may be required for meetings, conferences, or training.

 

Education

Bachelor’s degree in data science or a related quantitative field. Experience can be considered in lieu of education

 

Compensation and Benefits:

The expected compensation range for this position is $140,000.00-$153,000.00 per year (annualized hourly rate of pay). We offer comprehensive benefits that allow you to balance work and life. A benefits summary is available from this link: https://jobs.allnativegroup.com/categories/1/benefits/1/employee-benefits

 

 

Drug Free Workplace

All Native Group is a Drug Free Workplace. It is our policy that all new hires must successfully complete a pre-employment drug screen as a condition of employment. In addition, all employees are subject to random drug screens throughout the term of their employment with All Native Group.

 

Security Clearance

Active secret clearance is required

 

AAP/EEO Statement  

All Native Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. However, preference may be extended to persons of Indian descent in accordance with applicable laws.

 

About Ho-Chunk, Inc. & All Native Group

Ho-Chunk, Inc. is an award-winning economic development corporation of the Winnebago Tribe of Nebraska. Our mission is to provide long-term economic development for the Winnebago Tribe and job opportunities for Tribal members.

 

All Native Group is a network of small businesses that support the critical missions of various U.S. Government customers. Our capabilities include telecommunications, health, logistics, specialized training, professional services, and IT solutions. Since earning our first federal contract in 2004, we have continued to grow and diversify our services while maintaining a strong commitment to excellence. As a tribally owned organization, All Native Group operates multiple subsidiary businesses, providing clients with the advantages of working with a small business while leveraging the resources and expertise of a larger, established company. Our work is guided by our core NATIVE values:

 

  • Native American Owned & Proud – Serving the Winnebago Tribe of Nebraska.
  • Accountable – To always do what’s right.
  • Team-Focused – For inclusive progress.
  • Innovative – In creating solutions.
  • Visionary – In our purpose and direction.
  • Excellence – Through learning and performance.

 

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Source details

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Pay
Compensation and Benefits: The expected compensation range for this position is $140,000.00-$153,000.00 per year (annualized hourly rate of pay). We offer comprehensive benefits that allow you to balance work and life. A benefits summary is available from this link: https://jobs.allnativegroup.com/categories/1/benefits/1/employee-benefits Drug Free Workplace
Location & working pattern

Fairfax, VA

Working pattern and location restrictions need checking in the full posting.

Work authorization
Summary All Native Group, a division of Ho Chunk Incorporated, is seeking a Data Scientist to support a Federal Agency enterprise data management and analytics program. Working within the Analytic team, the Data Scientist develops and refines machine learning and AI models, performs entity extraction and enrichment across large and complex datasets, and applies natural language processing techniques to unstructured data to advance the customer's mission objectives. This position supports an active federal contract. Any offer of employment is contingent upon Government approval of the candidate and successful completion of the DEA security clearance process. Essential Functions
More source context
All Native Group is a Drug Free Workplace. It is our policy that all new hires must successfully complete a pre-employment drug screen as a condition of employment. In addition, all employees are subject to random drug screens throughout the term of their employment with All Native Group. Security Clearance Active secret clearance is required

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