ZipRecruiter

Log In

1

Temporary Data Scientist Machine Learning Jobs in Virginia

KDA Consulting Inc

Data Scientist

Mclean, VA · On-site

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

KDA Consulting Inc

Data Scientist

Herndon, VA · On-site

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

Cmu

Data Scientist

Arlington, VA · On-site

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 ...

VTG

Data Scientist

Chantilly, VA

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 ...

VTG

Data Scientist

Chantilly, VA · On-site

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 ...

next page

Showing results 1-20

People also search for

All JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Virginia

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 job categories do people searching Temporary Data Scientist Machine Learning jobs in Virginia look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Virginia 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:
Temporary Data Scientist Machine Learning jobs near you
Sr. Data Scientist / Machine Learning Engineer

Sr. Data Scientist / Machine Learning Engineer

CACI International, Inc.

Reston, VA • On-site

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Job description

Job Title: Sr. Data Scientist / Machine Learning Engineer
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI with Polygraph
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Outside Continental US
* * *
The Opportunity:
Join CACI as a Data Scientist and Engineer. We are seeking a highly experienced subject matter expert to drive technical innovation, architect advanced data engineering solutions, and implement machine learning models that support our clients' LAN, WAN, and UC services. In this role, you will lead the most complex, high-impact initiatives, solving unique and undefined problems in cybersecurity, compliance, and network modernization. You will establish operational plans with mid-term strategic impact, mentor technical staff across the organization, and present your findings directly to senior and executive leadership. Become a part of our great team and make a strategic difference within the Intelligence Community!
Responsibilities:
  • Employ advanced statistical methods and machine learning techniques to analyze complex datasets, uncovering deep patterns and root causes
  • Architect, build, and maintain robust, end-to-end data pipelines to ensure seamless data collection, integration, and storage
  • Design, develop, and deploy predictive algorithms and automated machine learning models into production environments to optimize network operations
  • Analyze large, unstructured, and undefined data sets to solve unique technical challenges where information is difficult to obtain
  • Lead complex, cross-functional project initiatives to address strategic business needs in cybersecurity, compliance, and network modernization
  • Present highly technical findings and strategic recommendations to senior and executive leadership in a clear and actionable manner
  • Provide expert guidance, coaching, and mentorship to technical staff across the organization to drive the adoption of data-driven practices
  • Conceptualize and implement innovative data products, processes, and standards that establish mid-term operational plans for the broader organization
  • Stay updated on the latest advancements in data engineering architecture, machine learning MLOps, and data science best practices

Qualifications:
Required:
  • Must possess an active TS/SCI security clearance with the ability to obtain a polygraph
  • Bachelor's degree in data science, computer science, statistics, mathematics, engineering, or a related field
  • 10+ years of relevant work experience
  • Must hold a current DoD 8570 IAT Level II certification (e.g., Security+ CE)
  • Proficient understanding of data governance and security best practices
  • Proven proficiency in Python, R, and SQL for advanced data manipulation, pipeline creation, and model development
  • Extensive hands-on experience designing and deploying scalable data architecture, databases, and automated data engineering workflows
  • Deep expertise in machine learning, predictive modeling, data mining techniques, and deploying models into production environments
  • Proven ability to conduct extensive investigations to understand the root cause of undefined problems
  • Experience conceptualizing and communicating with executive leadership regarding matters of significant strategic importance

Desired:
  • Active TS/SCI clearance with polygraph
  • Advanced degree (Master's or Ph.D.) in a highly quantitative or technical field
  • Experience mentoring and directing junior/mid-level data analysts and engineers
  • Familiarity working alongside Business Intelligence SMEs, preparing and formatting optimal data structures for visualization tools like Tableau
  • Exceptional ability to work with high latitude and independence, successfully managing multiple high-stakes projects simultaneously

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$105,100-$231,100
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Apply