1

Temporary Data Scientist Machine Learning Jobs in Washington, DC

Responsibilities : • Provide data science, machine learning, and artificial intelligence support. • Conduct data engineering tasks to integrate multiple APIs, and support process automation, data ...

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ... The Senior Data Scientist will lead end-to-end data science initiatives?from data collection and ...

Develop & maintain data analytics solutions and machine learning algorithms. Mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic ...

New

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May use machine learning and statistical approaches based on the analysis of the dataset. May ...

Develop, train, and validate machine learning and statistical models * Design and implement ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

Develop, train, and validate machine learning and statistical models * Design and implement ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

Develop, train, and validate machine learning and statistical models * Design and implement ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

Develop, train, and validate machine learning and statistical models * Design and implement ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Showing results 41-60

Temporary Data Scientist Machine Learning information

See Washington, DC salary details

$42.5K

$139K

$222.6K

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

As of Aug 7, 2026, the average yearly pay for temporary data scientist machine learning in Washington, DC is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Washington, DC? The most popular types of Data Scientist Machine Learning jobs in Washington, DC are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Washington, DC? For Temporary Data Scientist Machine Learning jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Washington, DC look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Washington, DC are:
Infographic showing various Temporary Data Scientist Machine Learning job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Data Scientist - Sr

NALLEY CONSULTING

Reston, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Nalley Consulting is a Service Disabled Veteran Owned Small Business focused on staffing Department of Defense and Intelligence Community positions. They are seeking an experienced Data Scientist to support research and development efforts for functional characterization of WMD facilities, providing data science, machine learning, and artificial intelligence support while conducting data engineering tasks.
Responsibilities:
• Provide data science, machine learning, and artificial intelligence support.
• Conduct data engineering tasks to integrate multiple APIs, and support process automation, data visualization, and application integration.
• Develop tools to automate data analysis of large data sets.
Qualifications:
Required:
• TS/SCI clearance with willingness to take CI poly
• At least 8 years of experience
• Bachelor's degree in Computer Science, Mathematics, or relevant field and 5+ years relevant experience
• 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data
• Demonstrated ability to work effectively within or lead a team of peers, as well as excellent interpersonal and communications skills
• Ability to communicate highly technical analyses at a level comprehensible to laymen and senior-level government representatives
• Ability to clearly express in writing technical analysis results
• Combining multiple data sources into GUI (graphic user interface) and visual and geographical displays
• Python and Tableau experience
• Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
• Experience with analyzing structured and unstructured data sources
• Experience with statistical and general-purpose programming languages for data analysis
• Experience with developing predictive data models, quantitative analyses, and visualization of target data sources
• Experience with leading the development of solutions to complex problems
• Experience with natural language processing, text mining, or machine learning techniques
• Experience implementing automation in processing, presenting, or manipulating data
Preferred:
• Demonstrated ability writing ICD 203 and ICD 206-compliant finished intelligence production
• 15 years of experience in solving DoD data science problems
• Experience in the development of algorithms leveraging Python and SQL
• Experience with developing solutions incorporating Large Language Models
• Experience with Python data science and visualization packages
• Experience with Excel MBA
• Experience with AC2SP, R, GitHub, and Palantir
• An active CI polygraph
Company:
Nalley Consulting provides consulting services to federal and state government agencies, specializing in intelligence consulting. Founded in 2013, the company is headquartered in Leesburg, USA, with a team of 11-50 employees. The company is currently Early Stage.