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Manager Meta Data Science Jobs in California (NOW HIRING)

Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ... Meta Analytics leadership. Minimum Qualifications: * 15+ years of work experience managing ...

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 ...

You'll own meaningful parts of it, set direction with data and judgment, and steer a small team ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

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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. For a Manager of Data Science, understanding this principle helps prioritize features, models, or data sources that have the most significant impact on outcomes, enabling more efficient resource allocation and decision-making.

How much do meta data scientist managers make?

Meta Data Science Manager salaries typically range from $150,000 to $220,000 annually, depending on experience, location, and company size. They often receive additional compensation such as bonuses and stock options, and require strong leadership, technical skills, and experience managing data science teams.

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.

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.

Can data scientists make $300k?

Data scientists, including those in managerial roles like Manager of Data Science, can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and in high-paying industries such as finance or technology. Achieving this level often requires a combination of technical expertise, leadership abilities, and sometimes stock options or bonuses.

Is 40 too late for data science?

For a Manager in Data Science, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and staying current with industry trends, regardless of age.

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 California? The most popular types of Meta Data Science jobs in California are:
What job categories do people searching Manager Meta Data Science jobs in California look for? The top searched job categories for Manager Meta Data Science jobs in California are:
What cities in California are hiring for Manager Meta Data Science jobs? Cities in California with the most Manager Meta Data Science job openings:
Data Science Director

Data Science Director

Meta

Menlo Park, CA

$314K/yr

Full-time

Posted 16 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 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, leadProduct 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.
Data Science Director Responsibilities:
  • Inspire, lead and grow a distributed team of data scientists and data science leaders across North America and Europe.
  • 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:
  • 15+ 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 environments
  • 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

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.
$314,000/year to $361,000/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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