1

Data Scientist Contractor Jobs (NOW HIRING)

Data Scientist

Mclean, VA

$125K - $160K/yr

We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine ... Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients ...

NO The Contractor shall work closely with the Sponsor’s data scientists and technical team to implement requirements; however, the Sponsor’s GTM will manage the priorities. • The ...

NO The Contractor shall work closely with the Sponsor'Äôs data scientists and technical team to implement requirements; however, the Sponsor'Äôs GTM will manage the priorities. 'Ä¢ The ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients ...

Data Scientist About the Organization Now is a great time to join Redhorse Corporation. Our mission ... In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new ...

BT-285 - Data Scientist Skill Level: Subject Matter Expert Location: McLean, VA (fully on-site, no ... The Contractor shall conduct sophisticated analysis using deployed tools and natural language ...

Bespoke Technologies, Inc. is seeking an expert Data Scientist to provide data-driven business ... Responsibilities : • The Contractor shall conduct sophisticated analysis using deployed tools and ...

BT-285 - Data Scientist Skill Level: Expert Location: McLean, VA (fully on-site, no remote option ... The Contractor shall conduct sophisticated analysis using deployed tools and natural language ...

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... The contractor must be a proficient problem-solver, capable of working both independently and ...

Data Scientist

Springfield, VA · On-site

$120K - $160K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... The contractor must be a proficient problem-solver, capable of working both independently and ...

Data Scientist

$103K - $120K/yr

Two+ years in a data science role; experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred. * Advanced proficiency in Python (Pandas, NumPy ...

Data Scientist

Annapolis, MD · On-site

$103K - $120K/yr

Two+ years in a data science role; experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred. * Advanced proficiency in Python (Pandas, NumPy ...

Data Scientist

Mclean, VA · Hybrid

$160K - $220K/yr

Work as part of a blended team of government and contractor personnel including data scientists, data engineers, and analysts * Support a range of activities and hands-on support for structured and ...

next page

Showing results 1-20

Data Scientist Contractor information

See salary details

$46K

$165K

$243.5K

How much do data scientist contractor jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data scientist contractor in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist Contractor, and why are they important?

To thrive as a Data Scientist Contractor, you need strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics, computer science, or a related field. Expertise with programming languages such as Python or R, experience using data visualization tools, and familiarity with cloud platforms or big data frameworks are typically required, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer. Outstanding problem-solving skills, adaptability, and effective communication set top contractors apart, enabling them to translate complex data into actionable insights for clients. These skills and qualities are crucial for delivering impactful, timely solutions and building client trust in dynamic project environments.

What are Data Scientist Contractors?

Data Scientist Contractors are professionals hired on a temporary or project basis to analyze and interpret complex data, build predictive models, and provide actionable insights for organizations. Unlike full-time employees, contractors typically work for a defined period or on specific projects, often bringing specialized expertise. They may help with data cleaning, statistical analysis, machine learning, and data visualization, adapting quickly to different business environments. Hiring a contractor allows companies to access advanced analytical skills without committing to permanent employment.

What is the difference between Data Scientist Contractor vs Data Analyst Contractor?

AspectData Scientist ContractorData Analyst Contractor
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; experience with machine learning and programming languages like Python or RBachelor's in Statistics, Mathematics, or related field; proficiency in SQL, Excel, and data visualization tools
Work EnvironmentProject-based, often remote or on-site, working on complex data modeling and predictive analyticsProject-based or ongoing, typically in office or remote, focusing on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, finance, healthcare, and other industries requiring data reporting

In summary, Data Scientist Contractors focus on advanced analytics, machine learning, and predictive modeling, requiring more specialized skills and credentials. Data Analyst Contractors primarily handle data reporting, visualization, and basic analysis. Both roles are project-based and often remote, but differ in complexity and technical requirements.

How does a Data Scientist Contractor typically integrate with existing teams and projects?

As a Data Scientist Contractor, you are often brought in to address specific project needs or to provide specialized expertise that the existing team may lack. You will usually collaborate closely with full-time data scientists, engineers, and business stakeholders, contributing to ongoing projects or initiating new analyses. Effective communication and adaptability are key, as contractors need to quickly understand project goals, integrate with established workflows, and deliver actionable insights within set timelines. This role offers exposure to diverse projects and can help expand your professional network, but may also require rapid onboarding and self-directed learning.
More about Data Scientist Contractor jobs
What cities are hiring for Data Scientist Contractor jobs? Cities with the most Data Scientist Contractor job openings:
Infographic showing various Data Scientist Contractor job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 74% Full Time, 7% Part Time, and 18% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

$125K - $160K/yr

Full-time

Posted 7 days ago


Job description

We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine learning models, and data-driven insights that support mission and business outcomes. This role requires strong analytical and modeling skills, hands-on experience with ML frameworks, and the ability to collaborate across engineering, data, and product teams. The Data Scientist will contribute to the full lifecycle of model development, from data exploration and feature engineering to model training, evaluation, and deployment, while supporting the articulation of insights and recommendations to technical and non-technical stakeholders. 


  • Conduct exploratory data analysis (EDA) to uncover trends, identify data quality issues, and determine modeling opportunities. 
  • Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries. 
  • Perform feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance. 
  • Evaluate models using appropriate statistical methods and performance metrics, documenting findings and informing iterative improvements. 
  • Work with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets are accurate, complete, and consistent. 
  • Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production environments or decision-support applications. 
  • Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate insights clearly to stakeholders. 
  • Support human-centered design processes by translating user needs into modeling requirements and refining model outputs based on feedback. 
  • Contribute to reproducibility and auditability by maintaining well-organized code, notebooks, documentation, and experiment histories. 
  • Stay current with modern data science methodologies, ML techniques, data processing tools, and cloud-enabled analytics workflows. 
  • You will contribute to the growth of our AI & Data Exploitation Practice! 

  • Ability to hold a position of public trust with the U.S. government. 
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field. 
  • 6+ years of experience building and evaluating machine learning models or performing advanced analytics. 
  • Proficiency in Python and core data science libraries (Pandas, NumPy, scikit-learn, Matplotlib/Seaborn). 
  • Hands-on experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, XGBoost). 
  • Experience writing efficient SQL queries and working with structured or semi-structured data in cloud or database environments. 
  • Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. 
  • Strong understanding of statistics, probability, experimental design, and model validation techniques. 
  • Ability to communicate technical concepts clearly to stakeholders and collaborate across multidisciplinary teams. 
  • Experience with dashboarding tools (Tableau, Power BI) or Python visualization libraries is a plus. 
  • Curiosity and adaptability, with a drive to stay current in rapidly evolving data and ML practices. 
  • Relevant certifications (helpful but not required): Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer. 

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.