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Contract Machine Learning Data Scientist Jobs in Reston, VA

The Data Scientist supports the Actuarial & Data Science Department's mission of advancing the use ... This role requires someone who understands both the how and why of machine learning and statistical ...

You will be working closely with our Data Scientists, implementing highly available and scalable machine learning pipelines. If you are a Software Engineer passionate for technology who wants to work ...

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

You will work closely with data scientists, engineers, and product managers to design, develop, and deploy machine learning models and solutions that drive business value. Key Responsibilities:

You will leverage your expertise in statistics, machine learning, and data analysis to extract ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

You will leverage your expertise in statistics, machine learning, and data analysis to extract ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing ... Develop advanced analytics, artificial intelligence and machine learning (AI/ML) models, and ...

Required : • 2+ years of experience in data science in a professional work environment • Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship ...

Data Scientist I supports government and program teams by assisting with data analysis ... Develop and apply statistical models or machine learning techniques as appropriate * Design and ...

Data Scientist I supports government and program teams by assisting with data analysis ... Develop and apply statistical models or machine learning techniques as appropriate * Design and ...

Data Scientist

Bethesda, MD · On-site

$160K - $190K/yr

Practical knowledge in Python Machine Learning and Data Visualization * Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Pandas and PySpark

Group Nine LLC is seeking a Data Scientist to develop and maintain data analytics solutions and machine learning algorithms. The role involves mentoring junior data scientists, enhancing the data ...

This position is contingent upon contract award *** Overview SOSi is seeking a Data Scientist III ... This role is responsible for applying data science, machine learning, and data engineering ...

This position is contingent upon contract award *** Overview SOSi is seeking a Data Scientist III ... This role is responsible for applying data science, machine learning, and data engineering ...

This position is contingent upon contract award *** Overview SOSi is seeking a Data Scientist III ... This role is responsible for applying data science, machine learning, and data engineering ...

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Contract Machine Learning Data Scientist information

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$39K

$127.7K

$204.4K

How much do contract machine learning data scientist jobs pay per year?

As of Jun 8, 2026, the average yearly pay for contract machine learning data scientist in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

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

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

What is the difference between Contract Machine Learning Data Scientist vs Contract Data Scientist?

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What is a Contract Machine Learning Data Scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.
What are popular job titles related to Contract Machine Learning Data Scientist jobs in Reston, VA? For Contract Machine Learning Data Scientist jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Data Scientist jobs in Reston, VA look for? The top searched job categories for Contract Machine Learning Data Scientist jobs in Reston, VA are:
What cities near Reston, VA are hiring for Contract Machine Learning Data Scientist jobs? Cities near Reston, VA with the most Contract Machine Learning Data Scientist job openings:
Data Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

ABOUT UE:
United Educators (UE) is a member-owned liability insurer serving K-12 schools, colleges and universities across the United States, with a focus on long-term partnerships. Guided by our mission to support education, we provide exceptional claims support, customized coverage and relevant risk management resources. At UE, you will join a collaborative, mission-driven team committed to delivering flexible insurance solutions, exceptional service and measurable value to our members.
The Data Scientist supports the Actuarial & Data Science Department's mission of advancing the use of data and analytical modeling in critical company decision-making. This role is responsible for performing rigorous statistical analyses, developing and validating predictive models, and building data-driven solutions that improve business processes, insights, and decision support across actuarial, underwriting, and operational functions.
The Data Scientist works closely with cross-functional stakeholders to translate business problems into well-reasoned analytical solutions, from exploratory analysis and feature engineering through model development, validation, and deployment. The role also contributes to emerging AI initiatives, including the practical application of generative AI tools to augment productivity and analytical workflows, where appropriate.
This role requires someone who understands both the how and why of machine learning and statistical modeling, not just the application of tools, but the underlying theory, tradeoffs, and limitations. Strong coding skills and the intellectual curiosity to stay current with a rapidly evolving technical landscape are essential.
Responsibilities:
  • Perform exploratory data analysis, data cleaning, and feature engineering to support modeling and analytical initiatives
  • Develop, validate, and maintain predictive models and analytical frameworks, with a strong emphasis on model interpretability, rigor, and appropriate use
  • Build and maintain dashboards, reports, and visualizations to communicate insights clearly and effectively
  • Collaborate with actuarial, underwriting, finance, IT, and business stakeholders to translate business needs into analytical solutions
  • Ensure data quality, model integrity, and responsible modeling practices - including documentation, validation, and transparency on methodologies, assumptions, and model logic
  • Identify opportunities to apply generative AI and agentic tools to enhance productivity, automate workflows, or support analytical work, and contribute to prototyping and evaluating those use cases
  • Support integration of analytical and AI solutions into business workflows, including testing, validation, and user adoption
  • Contribute to best practices in data science, modeling, and responsible AI use across the organization
  • Stay current with developments in machine learning, data science, and applied AI, and bring forward relevant opportunities with sound judgment about fit and feasibility
  • Ability to independently execute projects from problem definition through deployment

Requirements:
  • Typically requires 5 years of relevant experience with requisite competencies
  • Bachelor's degree in relevant field (mathematics, statistics, data science, or computer science)
  • Proficiency in Python and SQL required, R experience a plus
  • Strong foundation in statistical theory, machine learning methods, and model evaluation - including a genuine understanding of when and why to apply different approaches
  • Experience with feature engineering, model validation, and working with large, complex datasets
  • Ability to write, read, and review code critically - not just run notebooks or adapt existing scripts
  • Experience with data visualization tools (e.g., Power BI)
  • Familiarity with AI/GenAI tools and APIs (e.g., LLMs, prompt engineering, agentic workflows) and genuine interest in applying them practically - preferred but not required
  • Strong problem-solving skills and attention to detail
  • Effective communication skills, including the ability to explain technical concepts and model behavior to non-technical stakeholders
  • Familiarity with cloud-based ML infrastructure, preferably Azure (e.g., Azure Machine Learning, Azure Databricks, container-based deployments, or similar MLOps tooling)
  • Insurance or financial services experience preferred

Benefits:
  • Health Insurance - We offer subsidized plan options with an optional pre-tax Health Savings Account (HSA), including an annual employer contribution and investment options. The plans offer a prescription benefit and telehealth
  • Dental Insurance - Two plan levels are available, depending on needs
  • Vision Insurance -We offer in- and out-of-network options; Lasik discounts are available.
  • 401(k) - UE makes a 3% safe harbor non-elective contribution beginning the first of the month after date of hire; these funds are vested immediately. After one year of service, employees receive a 7% profit sharing non-elective contribution, as well as become eligible for a matched contribution of 25% of the first 5% employee deferral. Employees can make pre-tax contributions or taxed (Roth) salary reductions. Catch-up contributions for employees 50 years old and over. Employer contributions are fully vested immediately
  • Life Insurance - UE pays for Basic Life Insurance, and employees have the option to apply for additional Voluntary coverage
  • Short- and Long-Term Disability Insurance - We offer coverage in the event employees are unable to work for a period of time
  • For the first two years of employment, employees accrue PTO at 24 days per year. At the beginning of the third year of service, employees accrue 30 days per year of PTO
  • 11 paid holidays annually including Juneteenth and an employee choice floating holiday
  • Bonus eligibility is based on salary earned and performance for the year
  • Hybrid environment - employees are typically in the office 2-3 days per week after the initial training period
  • Inclusive and supportive culture that embraces diversity and provides opportunities for all to succeed
  • Monthly lunches and various social events throughout the year
  • Opportunities to join the Social Committee, Employee Resource Groups (ERGs), and Inclusion, Diversity, and Equity Alliance (IDEA)

The below annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.
Salary Range
$119,000-$148,500 USD