Intro:
Facebook’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we’re building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities – we’re just getting started.
Summary:
Facebook Shops is a fast-paced, analytically-driven organization with a simple goal, help Facebook grow in users globally. Launched in 2020, our mission is to develop a fun and unique shopping experience for millions of shoppers and businesses around the world. You’ll be part of a team of Data Scientists in the Inspirational Shopping team working in a fast-paced, high impact area with high visibility to leaders of the apps, growth and analytics organizations. You’ll collaborate with product and Data Science teams across the organization to provide clear, actionable analysis on some of the biggest and most crucial topics facing our community and company.
Required Skills:
Driving data-driven product strategy: apply expertise in data mining and analytics to identify opportunities to improve product engagement and user retention, and be able to translate data insights into actionable product strategy
Partner with, and influence through data, with Engineering and Product Management to drive the strategic direction of the Shopping Destination team, as well as other cross-functional teams across the Facebook Family of Apps (e.g. Facebook, Instagram, and Ads)
Through data, develop concrete experimentation ideas for Product team to execute
lead the analysis and interpretation of experimental results
Coach and nurture Data Scientists in the team
Minimum Qualifications:
Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience working within an analytical role
Experience using data to inform product strategy and be a strategic thinker who can drive team direction
Experience working collaboratively with Engineering, Product Management, and/or Data Engineering
Proficiency with metrics and A/B testing
Experience extracting and manipulating large datasets with SQL, Presto, Spark, etc.
Preferred Qualifications:
7+ years of experience working in an analytics organization
Experience leading large projects in the tech industry
Knowledge of Python and statistical modeling
Industry: Internet
Equal Opportunity: Facebook is proud to be an Equal 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. Facebook 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 [email protected].
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