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Manager Meta Data Science Jobs in Washington (NOW HIRING)

Meta

Director, Marketing Data Science

Washington, DC

$253K/yr

... Meta. This role is pivotal in supporting high-impact marketing campaigns, developing innovative ... Operate with autonomy, managing a team of ~15 and collaborating with cross-functional partners in ...

Meta

Energy Manager, Power Delivery

Reston, VA

$170K/yr

In this role, you will be a key contributor to Meta's data center energy strategy, specifically ... Energy Manager, Power Delivery Responsibilities: * Support the creation and execution of ...

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 Scientist, Product Analytics

Washington, DC

$177K/yr

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Blend360

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 ...

Meta

Site Logistics Operations Specialist

Reston, VA

$115K/yr

... Meta data centers * Build and support cross-functional relationships with internal partners drive effective communication channels supporting operations management * Help produce monthly audits of ...

Fannie Mae

Data Science Advisor

Washington, DC · On-site

Experience in Internal Audit, Risk Management, Model Risk Management, or other highly regulated environments. * Experience applying advanced data science methods such as regression, SVM (support ...

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and ... data management. * Experience developing data pipelines analytical workflows and repeatable ...

Blend360

Data Science Manager

Columbia, MD · On-site

... Manage multiple concurrent testing workstreams in a fast-paced embedded client environment Coordinate across data science, analytics, and operations teams to drive high-quality delivery and ...

Blend360

Data Science Manager

Columbia, MD · On-site

Manage multiple concurrent testing workstreams in a fast-paced embedded client environment * Coordinate across data science, analytics, and operations teams to drive high-quality delivery and ...

Blend360

Data Science Manager

Columbia, MD · On-site +1

$125K - $160K/yr

Manage multiple concurrent testing workstreams in a fast-paced embedded client environment * Coordinate across data science, analytics, and operations teams to drive high-quality delivery and ...

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Manager Meta Data Science information

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists and managers often focus on the most impactful features or data subsets to optimize model performance and resource allocation.

Is 40 too old for data science?

Age is not a barrier to becoming a manager in data science; many professionals successfully transition into the field at various ages. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and staying current with industry trends. Employers value diverse experience and problem-solving abilities regardless of age.

How much do meta data scientist managers make?

Meta Data Science Manager salaries typically range from $130,000 to $200,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options. Strong leadership, technical skills, and experience with machine learning tools are important for this role.

What does a Manager of 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 is the salary of a Data Scientist in Meta?

A Data Scientist at Meta typically earns a base salary ranging from $120,000 to $180,000 annually, depending on experience and location. Total compensation often includes bonuses, stock options, and other benefits, reflecting the company's competitive pay structure for data science roles.

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 key skills and qualifications needed to thrive as a Manager Meta Data Science, and why are they important?

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

Director, Marketing Data Science

Meta

Washington, DC

$253K/yr

Full-time

Posted 23 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

We are seeking a highly experienced Senior Marketing Data Science Leader to drive measurement, analytics, and strategy across Corporate, Public Affairs, AI Marketing and Corporate Communications at Meta. This role is pivotal in supporting high-impact marketing campaigns, developing innovative measurement frameworks, and collaborating with executive leadership to optimize marketing effectiveness.
Director, Marketing Data Science Responsibilities:
  • Lead Measurement & Analytics: Oversee the measurement of campaigns, including AI Marketing, Corporate Marketing, and Public Affairs. Develop and refine high-frequency measurement models for real-time campaign optimization and reporting.
  • Strategic Campaign Support: Partner with VPs and Directors to design, execute, and evaluate marketing campaigns across multiple regions and business units. Lead the development of holdout strategies and funnel analysis to validate campaign effectiveness.
  • Innovation & Efficiency: Invent and implement new measurement programs to consolidate trackers, enhance efficiency, and optimize resource allocation.
  • Cross-Functional Leadership: Operate with autonomy, managing a team of ~15 and collaborating with cross-functional partners in Product, Research, and Corporate Marketing. Support recruiting and interview process improvements for Marketing Data Science.
  • Stakeholder Engagement: Serve as a direct report to the VP, Marketing Data Science, and engage with peers at the Director level. Present findings and recommendations to senior leadership, influencing strategic decisions.
  • Community & Thought Leadership: Amplify the impact of Meta’s Analytics community through blog contributions, paid media strategies, and recruiting initiatives.

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience, Master’s degree preferred
  • 10+ years of work experience in data science or decision science (or 8+ years experience with a Ph.D.) supporting a Marketing function
  • Advanced experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical software (e.g. R)
  • Experience leading the building of statistical/computational tools in support of marketing functions
  • Advanced knowledge of marketing analytics, survey design, and statistical methods
  • Very comfortable personally using AI tools and transforming organizations to be AI-Native
  • Strong leadership skills, with the ability to operate autonomously and manage cross-functional teams
  • Excellent stakeholder management and communication skills, with experience presenting to executive leadership

Preferred Qualifications:
  • Previous experience in Public Affairs Marketing or Public Opinion Polling
  • 3+ years in Corporate Communications Analytics (e.g. social listening)
  • Expertise in high-frequency measurement models, campaign optimization, and real-time reporting

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.
$253,000/year to $314,000/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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