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Director, Data Science, Care
full-timeNew York, Washington, Menlo Park$314k - $361k

Summary

Location

New York, Washington, Menlo Park

Salary

$314k - $361k

Type

full-time

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About this role

We are seeking an experienced and visionary Senior Director of Data Science to lead our Care Data Science team. In this role, you will be responsible for developing and executing a comprehensive data science strategy that drives customer satisfaction, optimizes operational efficiency, and will help retain millions of users and billions in revenue. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions. You will partner with cross-functional teams on building out cutting edge agentic capabilities to scale customer support. The team is split between EMEA and NORAM, with a larger presence in EMEA. We are looking for a NORAM-based leader to help us navigate partnerships with primarily US-based partner teams (Monetization, Facebook, Instagram, AI Automation and Solutions) and executive presentations to the COO and CEO. We are a team of innovators and problem solvers who are passionate about using data science to drive impact and improve the lives of our customers. As part of the Care organization, we are dedicated to building out world-class support experiences that empower our customers to get the most out of our products. We are in the process of building out cutting edge solutions that rely on the latest LLM/agentic technologies to scale our solutions to billions of people, including advertisers and creators around the world. These efforts are part of the top 5 Meta priority areas.

Responsibilities

  • Leadership: Lead a team of ~50 data scientists, including 1 Director, and provide mentorship, guidance, and coaching to help them achieve their goals.
  • Strategy Development: Develop and execute a comprehensive data science strategy that aligns with the org’s overall goals and objectives.
  • Business Impact: Drive customer satisfaction by identifying opportunities, designing experiments, and enabling development of AI and automation solutions.
  • Customer Satisfaction: Improve customer satisfaction by analyzing key drivers (e.g.: issue resolution), identifying pain points, and developing solutions that address those issues.
  • Operational Efficiency: Optimize operational efficiency by analyzing processes, identifying bottlenecks, and developing solutions that streamline operations.
  • Collaboration: Work closely with cross-functional teams, including product management, engineering, and operations, to ensure alignment and effective execution. Collaboration with partner organizations, such as Monetization, Facebook, Instagram, AI Automation and Solutions.
  • Communication: Communicate complex technical concepts to non-technical stakeholders, including executives, product managers, and engineers.


Minimum Qualifications

  • Education: PhD or Master's degree in Computer Science, Statistics, Mathematics, or related field
  • Experience: 15+ years of experience in data science, with at least 10 years in a leadership role
  • Technical Skills: Directing programming work (Python, R, or SQL) and statistical analysis. Experience with machine learning frameworks
  • Business Acumen: Strong understanding of business principles and practices, including finance, marketing, and operations
  • Communication: Excellent communication and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders
  • Leadership: Proven track record of building and leading high-performing teams and developing talent


Preferred Qualifications

  • Industry Experience: Experience in the technology industry, particularly in the areas of customer support or care


$314,000/year to $361,000/year + bonus + equity + benefits

Other facts

Tech stack
Data Science,Leadership,Strategy Development,Customer Satisfaction,Operational Efficiency,Collaboration,Communication,Machine Learning,Statistical Analysis,Python,R,SQL,Business Acumen,Team Building,Mentorship,AI Solutions

About Meta

Meta's mission is to build the future of human connection and the technology that makes it possible.

Our technologies 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.

To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:

• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).

For a full listing of our jobs, visit https://www.metacareers.com

Meta's mission is to build the future of human connection and the technology that makes it possible.

Our technologies 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.

To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:

• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).

For a full listing of our jobs, visit https://www.metacareers.com

Team size: 136778
LinkedIn: Visit
Industry: Software Development

What you'll do

  • Lead a team of approximately 50 data scientists and develop a comprehensive data science strategy. Collaborate with cross-functional teams to drive customer satisfaction and optimize operational efficiency.

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Frequently Asked Questions

What does Meta pay for a Director, Data Science, Care?

Meta offers a competitive compensation package for the Director, Data Science, Care role. The salary range is USD 314k - 361k per year. Apply through Clera to learn more about the full compensation details.

What does a Director, Data Science, Care do at Meta?

As a Director, Data Science, Care at Meta, you will: lead a team of approximately 50 data scientists and develop a comprehensive data science strategy. Collaborate with cross-functional teams to drive customer satisfaction and optimize operational efficiency..

Why join Meta as a Director, Data Science, Care?

Meta is a leading Software Development company. The Director, Data Science, Care role offers competitive compensation.

Is the Director, Data Science, Care position at Meta remote?

The Director, Data Science, Care position at Meta is based in New York, United States and Washington, District of Columbia, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Director, Data Science, Care position at Meta?

You can apply for the Director, Data Science, Care position at Meta directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Meta on their website.