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Data Science Manager Remote Jobs in Washington (NOW HIRING)

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

Individuals interested in this role will provide Data Science subject matter expertise and be ... management solution capable of ingesting historical data and normalizing newly generated ...

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

13-Apr-2026 Data Scientist US (Remote) 10570BR Company Summary As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations ...

... remote role, managing multiple priorities and meeting deliverable deadlines. * Understanding of model transparency & explainability concepts, and ethical issues in data science. * Familiarity with ...

... remote role, managing multiple priorities and meeting deliverable deadlines. * Understanding of model transparency & explainability concepts, and ethical issues in data science. * Familiarity with ...

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... for remote work to be determined by the program manager and customer. Essential Functions:

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security ...

Stay current with emerging trends in workforce analytics, HR technology, and data science. Desired Skills: Familiarity with federal job classification standards and Office of Personnel Management ...

Senior Data science Engineer - Remote

Reston, VA · Remote

$110.30K - $149.80K/yr

... science engineers in analyzing and understanding all aspects of data, including source, design ... manage scalable data processing platforms for both exploratory and real-time analytics Oversee and ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ... Lead, manage, and support business operations and policy development lifecycles. Serve as an SME ...

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Data Science Manager Remote information

What are the key skills and qualifications needed to thrive as a Data Science Manager (Remote), and why are they important?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a Data Science Manager working remotely typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What does a remote Data Science Manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are the most commonly searched types of Data Science Remote jobs in Washington? The most popular types of Data Science Remote jobs in Washington are:
What are popular job titles related to Data Science Manager Remote jobs in Washington? For Data Science Manager Remote jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Manager Remote jobs in Washington look for? The top searched job categories for Data Science Manager Remote jobs in Washington are:
What cities in Washington are hiring for Data Science Manager Remote jobs? Cities in Washington with the most Data Science Manager Remote job openings:
Data Scientist

Data Scientist

Sphinx LLC

Quantico, VA • Remote

$150K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

About Sphinx
Sphinx is a full spectrum security and intelligence company established by a group of like minded Veterans. We are passionate about supporting our clients missions and ensuring they are prepared to address the modern threat environment. Sphinx provides services to an array of clients within the US Intelligence Community, Department of Defense, Cleared Defense Contracting, Defense Industrial Base, and Private Sector. We are comprised of 90% Veteran staff and pride ourselves on maintaining a close knit and collaborative work environment. Sphinx prioritizes the well being of our personnel and we are dedicated to helping you achieve your personal goals. We offer a competitive benefits package to include a 401K with corporate match, paid health, vision, dental, and other insurance options. Sphinx also offers a variety of incentives and opportunities to support the development and growth of our personnel.
Data Scientist
Sphinx Data Scientists provide an array of data analytics, engineering, mining, and development solutions. They leverage predictive analysis, statistical analysis, and other scientific techniques to correlate data into visualization and narratives that enable data-based decision making. Data Scientist in this position will provide support to a strategic intelligence program, enabling them to make operational decisions and establish priorities based upon a holistic understanding of the data. This position requires experience, passion, and a willingness to develop solutions to challenging problems with minimal oversight and direction.
Clearance: Must currently possess an active TS/SCI security clearance and be able to obtain a CI polygraph after hire (if not before)
Location: Quantico, VA
Salary Range: $150,000-$225,000
Experience: Must have at least 5+ years of experience performing data analytics and data engineering using a various tools such as Tableau or Power BI, while also be experienced using data science languages such as Python, R, and SQL.
Description: The Data Scientist will provide full-spectrum data science and data engineering support to a strategic intelligence mission. Ensure efficient and organized use of intelligence information to inform senior leadership and drive operational priorities within the organization. Individuals interested in this role will provide Data Science subject matter expertise and be essential in the programs modernization through prioritization of data-based decision making.
Responsibilities
- Develop data analytics and modeling of intelligence information from high capacity data lakes
- Perform predictive analytics, statistical analysis, and trending based upon disparate data sources
- Manage and normalize a variety of data sources containing unstructured data into a resource capable of informing operational decision making
- Develop data management solution capable of ingesting historical data and normalizing newly generated intelligence information
- Correlate disparate indicators and artifacts across intelligence information types to identify and prioritize intelligence resources
- Guide and manage other Data Scientist and Data Engineers supporting similar projects and agency strategic objectives
- Develop or employ Machine Learning and Artificial Intelligence models to support agency's exploitation of intelligence information
Required Qualifications
- Must currently possess an active TS/SCI security clearance and be able to obtain a CI polygraph after hire (if not already held)
- Must be a self-motivated, disciplined, and mature professional capable of operating with little tasking and oversight
- Must be capable of operating within a diverse environment and comfortable operating with limited guidance and oversight, maturity and self-motivation required.
- Must possess relevant Data Science, Data Engineering, AI/ML Development, or SharePoint Development experience
- Experienced with Data Science theories and techniques
Desired Qualifications
- Bachelor’s Degree from an accredited school in a related discipline
- Experienced with development and administration of SharePoint architecture
- Relevant commercial or federal data science/engineering certifications
- Familiarity with the intelligence lifecycle and intelligence operations

Benefits:

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible schedule
  • Health insurance
  • Health Savings Account (HSA)
  • Life insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Referral program
  • Retirement plan
  • Vision insurance