Product Analytics Data Scientist

Über

Summary: Join Meta as a Data Scientist and play a pivotal role in shaping innovative products across our family of applications, including Facebook, Instagram, Messenger, WhatsApp, and Oculus. You will leverage your technical expertise and analytical prowess to navigate one of the richest data ecosystems globally, influencing experiences for billions of users and millions of businesses. Collaborating with cross-functional teams in Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance, you will tackle pressing product and business challenges, using data to guide decisions and strategy. By becoming a part of our world-class analytics community, you will benefit from professional growth and skill development in analytics and beyond. Product Leadership:
Utilize data to inform product development, uncover new opportunities, and address upcoming challenges, ensuring the products we create deliver significant value to our users and the business. Analytics:
Employ rigorous analytical techniques and diverse methodologies to formulate hypotheses and provide actionable insights that drive product strategy. Communication and Influence:
Transform complex data into compelling narratives, effectively conveying insights and recommendations to stakeholders, establishing trust through clarity and structure. Responsibilities: Analyze large and complex data sets to tackle diverse and challenging problems using various analytical and statistical methods. Leverage quantitative analysis, experimentation, and data mining to develop product strategies that enhance user experience for billions and support hundreds of millions of businesses. Establish and track metrics to assess the success of product initiatives through goal-setting and trend analysis. Identify key opportunities for product improvement and shape roadmaps with your insights and recommendations. Collaborate with Product, Engineering, and cross-functional teams to inform and guide product strategy and investment decisions. Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience. A minimum of 4 years of experience in analytics, with proficiency in SQL, Python, or R (2 years if holding a Ph.D.). Experience solving analytical challenges through quantitative methods, with a focus on user behavior and long-term product trends, leading projects from inception to delivery. Preferred Qualifications: Master's or Ph.D. in a quantitative field. Public Compensation: $147,000/year to $208,000/year + bonus + equity + benefits Industry:
Internet Equal Opportunity: Meta is committed to being an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, or other legally protected characteristics. We also consider qualified applicants with criminal histories. Meta participates in the E-Verify program in certain locations, as mandated by law. Meta provides reasonable accommodations for candidates with disabilities during the recruiting process. For assistance or accommodations, please contact us.

United States

Sprachkenntnisse

English

Hinweis für Nutzer

Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.

Ähnliche Jobs finden