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Data Science Director, Care

AT Meta
Meta

Data Science Director, Care

Menlo Park, CA

We are seeking an experienced and visionary 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. However, 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.

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Data Science Director, Care Responsibilities:
  • Communication: Communicate complex technical concepts to non-technical stakeholders, including executives, product managers, and engineers.
  • Leadership: Lead a team of over 60 data scientists, including 2 Directors, 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.
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years of work experience in data science or decision science (or 8+ years experience with a Ph.D.)
  • Advanced experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical software (e.g. R)
  • Degree in a mathematics, statistics, engineering, or other analytical/quantitative field
  • Experience leading the building of statistical/computational tools in support of marketing functions
Preferred Qualifications:
  • Experience in the technology industry, particularly in the areas of customer support or care
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@fb.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.

Client-provided location(s): Menlo Park, CA, USA
Job ID: a1KDp00000E2ZnqMAF
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program

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