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Data Scientist Project Manager Jobs in Virginia (NOW HIRING)

RIVIDIUM

Data Scientist- Senior

Quantico, VA

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 ...

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

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 ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Lead the end-to-end lifecycle of data science projects - from data collection and exploration to model development, evaluation, and deployment. * Design and implement predictive models, NLP solutions ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

Be responsible for projects that span statistical and mathematical reasoning, business ... Management) and can communicate in a crisp manner. Mastery of English is required for this role ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

Be responsible for projects that span statistical and mathematical reasoning, business ... Management) and can communicate in a crisp manner. Mastery of English is required for this role ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment ... Experience with data management in SQL, including managing large-scale data across multiple ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA

Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment ... Experience with data management in SQL, including managing large-scale data across multiple ...

Leidos

Data Scientist

Springfield, VA · On-site

$92K - $166K/yr

Experience managing data science projects, data mining, spatio-temporal analysis. Docker/Jupyter Hub/GIT. * Experience with "big data" processing and analytics (Databricks/Apache Spark or similar)

Leidos

Data Scientist

Springfield, VA

$92K - $166K/yr

Experience managing data science projects, data mining, spatio-temporal analysis. Docker/Jupyter Hub/GIT. * Experience with "big data" processing and analytics (Databricks/Apache Spark or similar)

@Orchard

Data Scientist

Reston, VA · On-site

... data management, and visualization. * Demonstrated experience with statistical analysis and data ... Ability to lead multi-disciplinary teams to complete complex data science projects. * Experience ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project management process preferred, the Level 2 Data Scientist (Intermediate) is responsible for designing data science ...

@Orchard

Data Scientist

Reston, VA

... data management, and visualization. * Demonstrated experience with statistical analysis and data ... Ability to lead multi-disciplinary teams to complete complex data science projects. * Experience ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project management process preferred, the Level 2 Data Scientist (Intermediate) is responsible for designing data science ...

SAIC

Data Scientist

Springfield, VA · On-site

The Data Scientist will apply technical and analytical capabilities to develop and maintain ... project managers to refine project requests and clarify business needs and objectives. • ...

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All JobsData Scientist Project JobsData Scientist Project Manager JobsData Scientist Project Manager Jobs in Virginia

Data Scientist Project Manager information

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of expertise, certifications, and sometimes leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Data Scientist Project Manager, and why are they important?

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 project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Experience in managing data projects and understanding business goals can facilitate this transition, often supported by certifications like PMP or Agile methodologies.

What is the hottest job of the 21st century?

Data Scientist Project Managers are in high demand due to the growth of data-driven decision making. They combine technical skills in data analysis with project management expertise to lead complex analytics initiatives, often requiring knowledge of tools like Python, R, and cloud platforms. The role is considered one of the most sought-after careers in the 21st century for its impact and versatility.

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.

Is 40 too late for data science?

For a Data Scientist Project Manager, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant certifications, programming skills, and domain knowledge, making age less of a barrier than skill set and adaptability.
What are popular job titles related to Data Scientist Project Manager jobs in Virginia? For Data Scientist Project Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Scientist Project Manager jobs in Virginia look for? The top searched job categories for Data Scientist Project Manager jobs in Virginia are:
What cities in Virginia are hiring for Data Scientist Project Manager jobs? Cities in Virginia with the most Data Scientist Project Manager job openings:
Data Scientist Project Manager jobs near you
Infographic showing various Data Scientist Project Manager job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Scientist- Senior

Data Scientist- Senior

RIVIDIUM

Quantico, VA

Full-time

Posted 18 days ago

Job 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 intelligence

Minimum 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 start

Preferred 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 environments

Work Environment

  • Collaborative, mission-focused environment supporting federal and defense initiatives
  • Opportunity to work on cutting-edge data science and AI/ML technologies

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