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Manager Meta Data Science Jobs in Washington, DC

Meta

Local Public Policy Manager

Washington, DC · On-site +1

$190K/yr

Partner with Meta's Infrastructure and Data Center teams to align local policy engagement with site ... Bachelor's degree in political science, business/strategy, economics, legal, communications, public ...

Leidos

Mid-Level Data Scientist

Springfield, VA

$73K - $132K/yr

... meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text ... Experience with ESRI Workflow Manager, WMX and TAM * Knowledge of database systems and architecture

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

... meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text ... Experience with ESRI Workflow Manager, WMX and TAM * Knowledge of database systems and architecture

Meta

Data Engineer, Product Analytics

Washington, DC · On-site +1

$177K/yr

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

Meta

Energy Analyst, Data Center Portfolio

Washington, DC · On-site +1

$132K/yr

... management across Meta's rapidly expanding global data center portfolio. In this role, you will provide analytical expertise that directly informs site selection, energy procurement decisions ...

Capital One

Manager, Data Science

Mclean, VA · On-site

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

Capital One

Manager, Data Science

Mclean, VA · On-site +1

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice ...

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How much do manager meta data science jobs pay per year?

As of Aug 31, 2026, the average yearly pay for manager meta data science in Washington, DC is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

What does a manager meta data science do?

A Manager of Meta Data Science leads a team of data scientists in developing and implementing advanced analytics, machine learning models, and data-driven strategies for Meta (formerly Facebook). They are responsible for overseeing projects, mentoring team members, collaborating with cross-functional partners, and ensuring that data science solutions align with business goals. This role often requires both technical expertise and strong leadership skills to drive impactful decisions using data. Additionally, they work to improve processes, set research direction, and communicate findings to stakeholders.

What are the key skills and qualifications needed to thrive as a manager meta data science?

To thrive as a Manager Meta Data Science, you need strong expertise in data science, machine learning, statistical analysis, and a relevant advanced degree, often in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms, as well as experience with big data frameworks, are typically required. Leadership, strategic thinking, and effective communication are crucial soft skills that enable success in managing teams and collaborating across departments. These skills are important because they ensure the ability to lead complex projects, drive data-driven decision-making, and align analytics goals with organizational objectives.

How does a manager meta data science typically collaborate with cross-functional teams, and what communication challenges might arise?

A Manager Meta Data Science frequently collaborates with product managers, engineers, data analysts, and business stakeholders to ensure data-driven decision-making aligns with organizational goals. One common challenge is translating complex data science concepts into actionable business insights that are easily understood by non-technical teams. Effective communication and regular alignment meetings are essential to bridge knowledge gaps and ensure everyone is on the same page. Building strong relationships across departments and fostering a culture of transparency can help mitigate misunderstandings and streamline project delivery.

What are the most commonly searched types of Meta Data Science jobs in Washington, DC?

The most popular types of Meta Data Science jobs in Washington, DC are:

Manager Meta Data Science jobs near you

Data Scientist - Law Enforcement Analytics & Program

Meta

Washington, DC • Remote

$151K/yr

Full-time

Re-posted 3 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta is seeking a Data Scientist to join our Law Enforcement Analytics & Program (LEAP) team. Our mission is to enable Meta's capacity to balance public safety, user privacy, and compliance obligations at scale through strategic coordination, technical leadership, and operational success across the Security, Integrity, Investigations (SI2) legal team and its partners. This role leverages AI, data and insights to drive decisions that enable predictability, and proactive detection, allowing us to operate efficiently and reliably at scale. You will be building AI models and will be involved in the design, development, and deployment of intelligent solutions that reduce the operational and investigative burden. This role will directly impact the scalability and efficiency of our operations and investigations through proactive detection, automation, and resolution of routine tasks, inefficiencies, and incidents. In addition, this is a crucial role in translating data into action and identifying opportunities for efficiency and effectiveness.
Data Scientist - Law Enforcement Analytics & Program Responsibilities:
  • Translate business challenges into clear, actionable requirements for AI-enabled solutions
  • Map end-to-end business processes, highlighting areas where AI can drive efficiency and value
  • Design, build and implement AI automations
  • Develop and deploy solutions and AI prompts to identify and address bottlenecks, replacing manual interventions with intelligent automation
  • Create scalable automation mechanisms that proactively monitor, analyze, and report
  • Build robust predictive models using statistical and machine learning techniques to forecast risks, anticipate issues and optimize
  • Develop monitoring tools to trigger early warnings and facilitate rapid resolution through automation
  • Acts as a data subject matter
  • Formulate the right metrics, measures, and definitions of success to drive quality, efficiency, cost, and timeliness understanding the source data
  • Perform complex data analysis leveraging data streams available to drive proactive and predictive action
  • Partner with operational analysts, investigators, and engineering partners to understand pain points, identify repetitive tasks, and translate them into opportunities for automation
  • Bring multiple areas of business and engineering together via a common reliable foundation of common data, metrics, and insights
  • Build data tables and dashboards, and leverage these for interpreting incidents and trends
  • Leverage tools like Tableau, Python, and SQL to drive efficient analytics

Minimum Qualifications:
  • 6+ years of experience in analytics, engineering, and use of AI/ML
  • 6+ years of SQL development experience and scripting language like Python
  • Hands-on experience with AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) and automation tools/platforms
  • Experience with data visualization tools and leveraging data models to drive business decisions
  • Experience with statistics (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)
  • Demonstrated experience with proactively identifying, scoping and implementing solutions
  • Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
  • Bachelor's Degree in an anlaytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Master's Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$151,000/year to $213,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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