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Temporary Data Scientist Machine Learning Jobs in Virginia

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

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

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

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

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 ...

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 ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

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 ...

Data Scientist

Herndon, VA · On-site

$104K - $163K/yr

We are seeking a Data Scientist to join our team in Washington, DC, in support of the Department of ... Develop, maintain, and enhance predictive models and machine learning solutions, including ...

The platform serves as an essential tool for investigators and leverages machine learning, computer ... As a Data Scientist, you will be responsible for selecting, developing, fine-tuning, evaluating ...

The Data Scientist will leverage advanced analytics, machine learning, automation, and data fusion techniques to identify operational trends, forecast outcomes, optimize mission performance, and ...

The platform serves as an essential tool for investigators and leverages machine learning, computer ... As a Data Scientist, you will be responsible for selecting, developing, fine-tuning, evaluating ...

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

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 ...

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Temporary Data Scientist Machine Learning information

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 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 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:
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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 - Machine Learning - 10% 401k - FS Poly

Data Scientist - Machine Learning - 10% 401k - FS Poly

Stanley Reid

Reston, VA • On-site

Full-time

Posted 9 days ago


Job description

Job Summary:
Stanley Reid is an IT consulting firm founded in 2010 that values collaboration and professional excellence. They are seeking a Data Scientist to join their team, where the role involves leveraging data science and machine learning techniques to drive insights and support various projects.
Qualifications:
Required:
• Bachelor's Degree
• Experience with Python or R
• Data visualization experience
• Experience with Big Data tools
• Experience with SQL
• TS/SCI + Full-Scope Polygraph
Preferred:
• Experience with NLP
• Experience with cloud platforms
• Knowledge of deep learning frameworks
Company:
Since 2003 Stanley Reid has brought top talent to compelling companies that work in the areas of: Software Engineering; Data Science; Cloud Computing; Software Product Development; DevOps, Secure Application Development; Network Security; Kernel/Low Level Development; Cyber/CNO; High Performance Computing Our technical background, unique approach to finding candidates, and career-focused work with our candidates allows us to fill the hardest positions with people who can not only do “the job” but who will help companies grow and succeed. Founded in 2003, the company is headquartered in Pennsylvania Furnace, USA, with a team of 11-50 employees. The company is currently Early Stage.