Data Science TLM, Instagram Shopping Relevance

In this role, you will help to bring Facebook Inc.‘s Commerce strategy to life on Instagram by driving analytical work critical to the area’s short- and long-term success. The Instagram Shopping Relevance team is working to bring world-class personalization to the IG Shop Tab, which just launched to more than 700 million users around the world. Our north star: the Shop Tab consistently delivers fresh, relevant, and inspirational content (products, brands, media) from a diverse set of brands, creators, and friends that is highly tuned to shoppers’ personal style, taste, and real-time context. We get there by leveraging deep catalog data and rich media from brands, creators, and friends paired with robust shopping and non-shopping signals to deliver a highly personalized experience. We are looking for an analytics leader with ML expertise who is passionate about and experienced in untangling ambiguous 0→1 ranking problems. You have strong technical chops, and will get your hands dirty in analysis in addition to managing and mentoring a small team. You are a fantastic communicator who will work with cross-functional partners and other data scientists on both long and short-term analyses, communicating findings and recommendations succinctly and effectively to leadership. You’ll get scrappy to identify high-priority relevance problems before they are even clearly measurable and drive personalization understanding with limited experimental data; you’ll then translate current product problems into hypotheses and analyses/experiments to validate them. You are autonomous and able to independently identify the most important questions to answer and prioritize work effectively. Finally, you’re looking for a career-defining opportunity and are excited to stretch yourself outside of your comfort zone.

Responsibilities

• Manage a small team of data scientists working on complex technical & cross-functional problems
• Work independently to plan, lead, and implement complex and timely analyses
• Understand the technical implementation as well as coaching and guiding the broader cross-functional and engineering teams to ensure a high level of technical execution
• Distill complex information and communicating it clearly and concisely to executives, peers, and reports — both technical and non-technical stakeholders
• Influence product strategy for Facebook Inc.‘s Commerce efforts by partnering closely with relevant engineering, data science, and research teams across the company to uncover, analyze, report, and interpret relevant data
• Define product success metrics, forecast metric changes, and set team/org goals

Minimum Qualifications

• Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
• 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)
• 5+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting
• 3+ years of experience doing complex quantitative analysis in product analytics
• 3+ years of experience communicating the results of analyses to leadership teams to influence the strategy
• 2+ years of leadership experience

Preferred Qualifications

• Comfort proposing, designing, and analyzing complex, large-scale experiments
• Background in e-Commerce or other two-sided marketplaces

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