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Temporary Data Scientist Machine Learning Jobs in Virginia

We are seeking a skilled and innovative Data Scientist to contribute to the development and optimization of advanced AI, Machine Learning (ML), and Generative AI (GenAI) models within BDS. This role ...

We are seeking a skilled and innovative Data Scientist to contribute to the development and optimization of advanced AI, Machine Learning (ML), and Generative AI (GenAI) models within BDS. This role ...

Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery. * Architect end-to-end analytic workflows ...

Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery. * Architect end-to-end analytic workflows ...

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 ...

... machine learning services within secure, containerized environments • collaborate closely with ... data science, machine learning engineering, or data pipeline development. • Proficient in Python ...

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 ...

Develop, deploy, and maintain machine learning and NLP models used in production systems * Monitor ... Contribute to new data science initiatives, particularly in NLP, text processing, and data decoding ...

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

$67.90K - $68.50K/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 ...

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, 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 ...

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Temporary Data Scientist Machine Learning information

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

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 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 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 are the most commonly searched types of Data Scientist Machine Learning jobs in Virginia? The most popular types of Data Scientist Machine Learning jobs in Virginia are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Virginia? For Temporary Data Scientist Machine Learning jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Temporary Data Scientist Machine Learning jobs? Cities in Virginia with the most Temporary Data Scientist Machine Learning job openings:
Data Scientist (Data Science)

Data Scientist (Data Science)

Boeing

Arlington, VA • On-site

Full-time

Medical, Life, Retirement

Posted 15 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 582 frontline employees who took The Breakroom Quiz

34th of 511 rated manufacturers


Job description

Data Scientist (Data Science)

Company:

The Boeing Company

Boeing Defense, Space & Security (BDS) has an exciting opportunity for a Mid-Level Data Scientist - GenAI to join our team located in Seattle, WA or Arlington, VA.

We are seeking a skilled and innovative Data Scientist to contribute to the development and optimization of advanced AI, Machine Learning (ML), and Generative AI (GenAI) models within BDS. This role offers the opportunity to learn and grow your skills in ML and large language models (LLMs). You will work closely with senior data scientists and cross-functional teams to contribute to AI-driven applications in our organization.

Successful candidates will have:

  • Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Experience in developing GenAI solutions in regulated industries.
  • Familiarity with GPU compute infrastructure and distributed model training.
  • Familiarity with container technologies (e.g., Docker, Kubernetes).

Why Join Us:

  • Shape the direction of generative AI in a mission-critical organization.
  • Collaborate with a world-class team of engineers, scientists, and domain experts.
  • Access to cutting-edge infrastructure, models, and research partnerships.
  • Competitive compensation and leadership opportunities in the AI domain.

Position Responsibilities:

  • Contribute to the development and deployment of models.
  • Design and implement pipelines for model fine-tuning and evaluation.
  • Develop prompt engineering strategies and embedding techniques to enhance model performance.
  • Prototype applications that address specific business needs.
  • Assist in model performance evaluation and bias/fairness assessments.
  • Collaborate with MLOps and engineering teams to support model scaling and monitoring.
  • Share knowledge of AI/ML/GenAI tools and trends with the team and contribute to best practices.

This position is hybrid. The selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future.

This position is for 1st shift.

This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

Basic Qualifications (Required Skills/Experience):

  • Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field.
  • 3+ years of experience in data science or machine learning.
  • 3+ years of experience in programming in Python and familiarity with data engineering workflows (e.g., Spark, Airflow, SQL).

Preferred Qualifications (Desired Skills/Experience):

  • Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field
  • Experience fine-tuning open-source models and integrating APIs from commercial providers.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Experience in AI ethics and governance in generative models.
  • Experience with data engineering tools (e.g., SQL, Spark

Typical Education/Experience:

Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+3 years' related work experience, 9 years' related work experience, etc.).

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Travel:

Position may require travel up to 10% of the time.

Drug Free Workplace:

Boeingis a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range:

$137,700-$186,300

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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