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Manager Meta Data Science Jobs (NOW HIRING)

Data Science Director

Menlo Park, CA · On-site

$253K - $314K/yr

Responsibilities Inspire, lead and grow a distributed team of data scientists and data science ... Meta Analytics leadership. Minimum Qualifications • 10+ years of work experience managing ...

Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ... Meta Analytics leadership. Minimum Qualifications: * 10+ years of work experience managing ...

... 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. 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 ...

... and managing high-impact data licensing partnerships that enable Meta's AI and product innovation ... Computer Science, Business, or a related technical field Preferred Qualifications • Advanced ...

We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platfor.

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$111.70K - $134.20K/yr

Required : • Bachelor's Degree in Computer Science, Data Science, or a related field • 1-3+ ... meta-data • Knowledge of developing dimensional data models from unstructured content and ...

New

We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platfor.

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Manager Meta Data Science information

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

As of May 30, 2026, the average yearly pay for manager meta data science in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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.

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 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.
More about Manager Meta Data Science jobs
What cities are hiring for Manager Meta Data Science jobs? Cities with the most Manager Meta Data Science job openings:
What are the most commonly searched types of Meta Data Science jobs? The most popular types of Meta Data Science jobs are:
What states have the most Manager Meta Data Science jobs? States with the most job openings for Manager Meta Data Science jobs include:
Infographic showing various Manager Meta Data Science job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data Science Director

Data Science Director

Meta

Menlo Park, CA • On-site

$253K - $314K/yr

Full-time

Posted 16 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 183 rated software companies


Job description

We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations. About the role: People leadership: You will inspire, lead and grow a world-class team. Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Responsibilities
Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
• Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
• Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
• Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
Minimum Qualifications
• 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
• Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
• Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
• Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
• Experience working effectively with multiple stakeholders and cross-functionally.
• Effective communication skills.
Preferred Qualifications
• Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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