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Data Science Manager, Analytics - Job Opportunity at Meta

Remote, US
Full-time
Senior
Posted: February 24, 2025
Remote
USD 173,000-242,000 per year

Benefits

Competitive base salary with significant upside potential through bonus and equity
Comprehensive healthcare benefits package
Meta's renowned professional development and learning resources
Access to cutting-edge technology and tools
Flexible work arrangements
Generous paid time off and parental leave policies
Industry-leading retirement benefits
Wellness programs and support

Key Responsibilities

Lead strategic data science initiatives impacting billions of users and businesses globally
Drive product strategy and investment decisions through data-driven insights
Develop and mentor high-performing analytics teams
Partner with executive leadership on critical business decisions
Design and implement advanced analytical frameworks
Shape product roadmaps through quantitative analysis
Champion data science best practices across the organization

Requirements

Education

Bachelor's degree (Master's or Ph.D. preferred in quantitative field)

Experience

4+ years (2+ with Ph.D.) in applied analytics, including 2+ years managing analytics teams

Required Skills

SQL Python R Statistical analysis Team leadership Strategic thinking Communication skills Project management Product analytics
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Sauge AI Market Intelligence

Industry Trends

The convergence of traditional analytics with AI/ML is creating heightened demand for leaders who can bridge technical and strategic roles Tech industry's focus on data-driven decision making has elevated analytics leadership roles to strategic partners in product development Growing emphasis on privacy-first analytics approaches following regulatory changes and market expectations Increasing importance of scalable analytics solutions as companies handle larger, more complex datasets

Salary Evaluation

The offered range of $173,000-242,000 is competitive for senior analytics leadership roles, particularly given Meta's additional equity and bonus structure. Top performers in similar roles at FAANG companies often see total compensation packages reaching $350,000-500,000 with equity and bonuses.

Role Significance

Typically manages a team of 5-15 data scientists, with potential matrix management responsibilities across larger project teams.
This is a senior leadership position with significant strategic influence, directly impacting product decisions that affect billions of users.

Key Projects

Large-scale product analytics initiatives affecting core Meta platforms Strategic business intelligence programs supporting executive decision-making Cross-functional data science initiatives spanning multiple product areas Analytics infrastructure and methodology development projects

Success Factors

Ability to translate complex technical insights into actionable business strategies Strong leadership skills with focus on team development and mentoring Deep understanding of both technical analytics and product strategy Excellence in stakeholder management and executive communication Track record of driving data-driven decision making at scale

Market Demand

Very high demand with constrained supply, particularly for candidates with both technical depth and leadership experience. Market competition for qualified candidates has intensified as companies increasingly rely on data-driven decision making.

Important Skills

Critical Skills

Technical leadership combining hands-on analytics skills with strategic thinking Advanced statistical analysis and experimental design Strategic communication and stakeholder management Team development and mentoring

Beneficial Skills

Experience with privacy-preserving analytics Knowledge of machine learning and AI applications Understanding of social media and digital advertising ecosystems Experience with large-scale distributed systems

Unique Aspects

Opportunity to work with one of the world's largest and most diverse datasets
Direct influence on products used by billions of users globally
Exposure to cutting-edge analytics technologies and methodologies
Significant autonomy in shaping analytics strategy and practices

Career Growth

Typical progression to Director level within 2-4 years, depending on impact and organization growth.

Potential Next Roles

Director of Data Science Head of Analytics Chief Data Officer Product Strategy Executive VP of Analytics

Company Overview

Meta

Meta remains one of the world's most influential technology companies, leading innovation in social connectivity and virtual reality while managing some of the largest data sets globally.

Among the top 5 tech companies globally, with significant resources and influence in shaping industry standards and practices.
Strong distributed workforce model with significant investment in remote work infrastructure and culture.
Fast-paced, impact-driven environment with emphasis on innovation and scale. Strong focus on data-driven decision making and technical excellence.
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