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Data Scientist Project Manager Jobs in Washington

Data Scientist Location: Reston, Virginia *Clearance: *Active TS/SCI w/ Polygraph needed to apply ... Collaborate with the Client project manager, technical analysts, and customer end-users in the ...

Data Scientist

Chantilly, VA · On-site

$200K - $230K/yr

Overview Data Scientist Chantilly, VA TS/SCI with Poly At Bcore, our strength comes from how we ... Demonstrated experience in project management processes, procedures and tools. * Demonstrated ...

Data Scientist - Mid

Springfield, VA · On-site

$120 - $155/hr

About the Role The Data Scientist - Mid will work with project requestors, stakeholders, subject matter experts, and project managers to clarify business needs, analyze data from multiple sources ...

Data Scientist

Chantilly, VA · On-site

$200K - $230K/yr

Data Scientist Chantilly, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver ... Demonstrated experience in project management processes, procedures and tools. * Demonstrated ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

End-to-End Project Scoping: Take ownership of data science projects from initial problem definition ... You maintain a "no task too small" mindset, successfully managing multiple engagements ...

Data Scientist

Chantilly, VA · On-site

$99 - $225/hr

Experience with project management, project planning, and technical documentation * Knowledge of ... As a data scientist at Booz Allen, you can help turn these complex data sets into useful ...

Data Scientist

Chantilly, VA · On-site

$200K - $240K/yr

Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling. * Documents internal process improvements to optimize ...

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling. * Documents internal process improvements to optimize ...

Data Scientist

Mclean, VA

$200K - $240K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... project management tool. * Support the overall financial and business efforts including a new ...

Data Scientist - Mid

Fort Belvoir, VA · On-site

$120K - $155K/yr

About the Role The Data Scientist - Mid will work with project requestors, stakeholders, subject matter experts, and project managers to clarify business needs, analyze data from multiple sources ...

... of-concept projects and capabilities briefings. About the Role: If you are excited about ... Large Data Management: querying, extracting, cleaning, verifying, integrating, resolving, and ...

... project managers, and clients to prepare data for predictive modeling. • Documents internal ... data science, machine learning (ML), or statistics. • Demonstrated high level of initiative ...

Showing results 41-60

Data Scientist Project Manager information

What are the key skills and qualifications needed to thrive as a data scientist project manager?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a data scientist project manager?

A data scientist can become a data scientist project manager by developing leadership, communication, and project management skills, often through experience and certifications like PMP or Agile. Transitioning typically involves gaining experience in managing projects and teams while maintaining technical expertise in data analysis and modeling.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

What are popular job titles related to Data Scientist Project Manager jobs in Washington?

For Data Scientist Project Manager jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Scientist Project Manager jobs in Washington look for?

The top searched job categories for Data Scientist Project Manager jobs in Washington are:

What cities in Washington are hiring for Data Scientist Project Manager jobs?

Cities in Washington with the most Data Scientist Project Manager job openings:

Infographic showing various Data Scientist Project Manager job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Scientist- Senior with Security Clearance

Rividium, Inc

Quantico, VA • On-site

Other

Re-posted 16 days ago


Job description

Title Data Scientist- Senior Full-Time/Part-Time Full-Time Description RiVidium Inc. is seeking a highly experienced Senior Data Scientist to transform complex data into actionable insights that drive strategic decision-making. The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big data technologies, along with the ability to solve complex problems and predict future trends. This role requires close collaboration with business stakeholders and cross-functional teams to understand organizational challenges, translate data into meaningful insights, and deliver scalable data-driven solutions. The Senior Data Scientist will lead end-to-end data science initiatives-from data collection and model development to deployment and performance monitoring. Key Responsibilities * Lead the design, development, and deployment of advanced statistical and machine learning models * Translate complex data into actionable insights to support business strategy and decision-making * Manage data science projects from conception through deployment, ensuring timely and high-quality delivery * Collaborate with cross-functional teams to identify business needs and develop data-driven solutions * Build and optimize predictive models to solve complex problems and forecast future outcomes * Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement * Design and implement data platforms for analysis, experimentation, and scalability * Assess and improve data quality, data sources, and data collection methodologies * Develop algorithms and analytical tools to extract insights from structured and unstructured data * Present findings through clear visualizations and storytelling techniques for technical and non-technical audiences * Drive innovation and continuous improvement in data science methodologies and technologies * Ensure data standardization, governance, and best practices across projects * Stay current with emerging trends in data science, machine learning, and artificial intelligenceMinimum Qualifications * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field (or equivalent experience in fields such as economics, engineering, or physics) * Minimum 10 years of relevant professional experience * 6-8 years of experience leading and executing data science projects, preferably in areas such as risk modeling, real-time analytics, performance optimization, or quality assessment * Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB, or similar * Experience with SQL, PL/SQL, and NoSQL or Hadoop-based database technologies * Hands-on experience with data visualization tools and techniques * Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques * Experience with big data technologies such as Hadoop, Apache Spark, or similar platforms * Familiarity with natural language processing (NLP) and/or image processing techniques * Experience working with Microsoft tools, including SharePoint * Strong analytical, problem-solving, and critical thinking skills * Excellent communication, presentation, and stakeholder engagement abilities * Experience working across cloud, on-premises, and hybrid environments, including containerization technologies such as Docker, Kubernetes, and AWS Elastic Container Service (ECS) * Experience with data science platforms such as RStudio, Spark, or similar tools * Strong documentation and project management skills * Active TS/SCI clearance required at contract startPreferred Qualifications * Specialized expertise in text analytics, image recognition, graph analytics, or deep learning * Experience solving complex problems in computer vision or natural language processing domains * Prior experience supporting the Department of War (DoW) or Department of the Navy (DoN) * Familiarity with federal law enforcement (LE) systems or prior experience in LE environmentsWork Environment * Collaborative, mission-focused environment supporting federal and defense initiatives * Opportunity to work on cutting-edge data science and AI/ML technologies About the Organization Established in 2008, RiVidium, Inc. (dba TripleCyber) is a VA-Verified SDVOSB and an SBA-Certified 8(a) company. To prepare our clients for the future, RiVidium has balanced all parts of our organization to attract the finest employees in order to 'Strive to be the missing element defining tomorrow's technology'. RiVidium keeps pace and surpasses its competitors by meeting challenges of advancements in Logistics, Human Capital, Cyber, Intelligence & Technology. EOE Statement We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. If you need a reasonable accommodation for any part of the employment process, please contact Human Resources (HR) at . This position is currently accepting applications.