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Data Scientist Project Manager Jobs in Reston, 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 ...

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 ...

Job Title- Data Scientist Project Location - Onsite in Washington, District of Columbia Duration ... management. * Demonstrated experience programming with R/Python, Linux, and Spark in AWS cloud ...

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)

... management fundamentals, successfully adopting them for data science projects from development into production • Understand customer needs and visualize data in the most effective way possible for ...

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 ...

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 ...

Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions * Assist on research development projects and data ...

Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions * Assist on research development projects and data ...

Understand and apply data integration and data management fundamentals, successfully adopting them for data science projects from development into production * Understand customer needs and visualize ...

The company's Louisiana-based export projects service the global demand for North American natural ... Ability to self-manage and make your own decisions. * Strong presentation skills to effectively ...

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. • ...

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Collaborate with project requestors, stakeholders, and project managers to refine project requests ...

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Showing results 1-20

Data Scientist Project Manager information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do data scientist project manager jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data scientist project manager in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

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?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often supplemented with certifications like PMP. Transitioning typically involves gaining experience in managing projects and understanding business objectives alongside technical expertise.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on problem-solving, domain expertise, and model validation. The demand for data science skills remains strong as organizations seek to leverage AI effectively.

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 is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists and analysts to ensure timely delivery of insights and solutions. They manage project scope, timelines, and resources, often utilizing tools like project management software and requiring knowledge of data science methodologies and business objectives.

Is 40 too late for data science?

For a Data Scientist Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering data analysis tools and programming languages like Python or R, regardless of age.
What are popular job titles related to Data Scientist Project Manager jobs in Reston, VA? For Data Scientist Project Manager jobs in Reston, VA, the most frequently searched job titles are:
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What cities near Reston, VA are hiring for Data Scientist Project Manager jobs? Cities near Reston, VA with the most Data Scientist Project Manager job openings:
Data Scientist

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Data Scientist

The Opportunity:

In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter experts to increase decision space, understand strategic risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable analytic processes, and enterprise-wide collaboration to provide routine, special interest, and alert-triggered campaign assessments, and when necessary, facilitate and synchronize enterprise-level campaign adjustment. You will help DoD senior leadership mobilize for long-term campaigning, marshal DoD resources and actions against desired strategic outcomes, and maneuver the department with greater precision and effect to persistently pursue opportunity and mitigate risk vis-a-vis the pacing rival. Analysts are tasked with utilizing a flexible and foundational toolset that will add value across campaigning topics. Analysts will blend functional area knowledge with an ability to identify data sources, manipulate data, use data analytics tools, understand and anticipate strategic intent, and communicate with senior DoD leaders.

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges across private and public sectors from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data.

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs in order to then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

What You'll Work On:

  • Design and execute statistical analyses on large, complex datasets from multiple sources.
  • Develop production-quality data visualizations, plots, and dashboards for technical and executive audiences.
  • Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment with mission objectives.
  • Collaborate with stakeholders to translate strategic questions into analytical approaches and deliver actionable insights.
  • Respond to ad-hoc analytical requests while managing competing priorities and deadlines in an agile workflow.
  • Mentor junior data scientists and establish best practices for reproducible, well-documented analyses.
  • Communicate complex statistical findings to both technical teams and senior DoD leadership.

Join us. The world can't wait.


You Have:

  • 4+ years of experience with data science, statistical analysis, or quantitative research
  • 4+ years of experience with the development of algorithms, leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or Tidyverse
  • 4+ years of experience analyzing structured and unstructured data sources
  • Experience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantification
  • Experience with data management in SQL, including managing large-scale data across multiple databases and data warehouses
  • Experience working with large-scale datasets and distributed computing frameworks, including Spark or DASK
  • TS/SCI clearance
  • Bachelor's degree


Nice If You Have:

  • Experience with Natural Language Processing (NLP) techniques, such as text classification or entity recognition
  • Experience with geospatial data analysis
  • Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with Spark for large-scale data processing
  • Experience with data engineering principles, including ETL design, orchestration, and data pipeline architecture, to effectively partner with engineering teams
  • Experience working with the U.S. Department of Defense or the Intelligence Community
  • Experience with graph analytics, network analysis, or anomaly detection techniques
  • Experience with version control, such as Git, and reproducible research practices
  • Knowledge of machine learning model development and deployment practices
  • Possession of excellent written and verbal communication skills
  • Master's degree in Statistics, Computer Science, Data Science, or Economics


Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914