Lead Data Scientist, Analytics Strategy

Summary:

Join our innovative team of skilled Data Scientists and make a profound impact across various product domains. As a Lead Data Scientist, you will work alongside cross-functional teams to address intricate challenges through insightful data analysis. Your influence will drive product development, identify new opportunities, and ensure our solutions provide exceptional value to both users and the organization. You will harness data-driven insights to steer teams, formulate hypotheses, and implement robust analytical techniques for testing. Your ability to craft compelling data narratives and present clear findings will build credibility with stakeholders. By joining us, you will be part of a top-tier analytics community focused on professional growth and development in analytics and beyond.

Key Responsibilities:

Utilize complex datasets to solve challenging problems through analytical and statistical techniques.

Leverage your technical expertise in quantitative analysis, experimentation, and data mining to shape effective product strategies.

Establish success metrics and monitor key indicators to evaluate performance and progress.

Collaborate closely with cross-functional teams to define and execute strategic product initiatives and investments.

Develop and communicate a forward-looking vision and strategy for various programs and products.

Partner with executives to design and implement data platforms and analytical frameworks.

Effectively present insights and recommendations to various stakeholders.

Define success metrics, anticipate changes, and set team objectives.

Contribute to the creation of analytics roadmaps and coordinate efforts across teams.

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).

8+ years of experience leading analytics initiatives in individual contributor roles, effectively collaborating with Engineering and cross-functional partners to drive data-informed product planning and strategy.

A proven history of managing complex analytics projects across diverse stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics, and Finance.

Experience in predictive modeling, machine learning, and experimentation/causal inference techniques.

Strong communication talents, capable of clearly and concisely conveying complex technical subjects.

Preferred Qualifications:

10+ years of experience engaging with leadership teams to present analytical results and influence strategic decisions.

Master's or Ph.D. in a quantitative field.

Bachelor's Degree in an analytical or scientific discipline (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research).

10+ years of experience performing complex quantitative analysis in product analytics.

Compensation:

$210,000/year to $281,000/year + bonus + equity + benefits.

Equal Opportunity Employer:

Meta is committed to fostering diversity and inclusion within our workplace. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender, age, disability, or any legally protected characteristics. We welcome applications from qualified individuals with diverse backgrounds. Note that we may utilize artificial intelligence and machine learning technologies in our hiring processes.

Accommodations:

If you require assistance or accommodations during the recruitment process due to a disability, please reach out to us.