Facebook Data Science Director - Facebook Reality Labs, Assistant in Topeka, Kansas
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.
We are looking for a seasoned Data Science Director who can navigate the technical complexity of the space and the solutions while also managing and supporting a broad and diverse range of stakeholders. This leader will have a strong product sense, technical and communication skills. Direct experience shipping an intelligent agent or NLP product is highly preferred. You will partner with cross-functional stakeholders (Product, Engineering, Content, Programming, Design) to tackle challenging analytical, statistical, and experimentation problems. The insights that you derive will guide crucial strategic decisions about the future of AI voice products at Facebook. The Data Science team’s mission is to leverage data to understand, identify, and execute, accelerating the journey toward building a novel, powerful, and useful AI voice product for Facebook. Projects our DS work on range from broad user and ecosystem understanding, strategic planning and product goal setting, as well as diving deep on specific applications or the engagement of our users. There are product areas, like Portal and VR, where the Assistant feature is already shipped and we’re continuing to build on that, while there are many other areas like new HW products that are still early in the product development phase. This team is focused on helping the product team scope out new opportunities, define success across the overall product ecosystem and each product area individually, as well as understand how AI voice products can contribute to our mission to increase meaningful connections. This leader will drive the DS team into more experimentation with broad hypothesis areas and determine how we are going to test and then push DS into product development. Given the phase of the products, there’s a lot of testing and pivoting and product re-scoping as we find the right path and product features.
Collaborate with product, engineering and research and other functional experts to shape a shared, data-driven strategic vision for Assistant across the company.
Define and shape the north star for driving growth, quality and relevance of our Assistant products and ecosystems.
Drive product development with a team of world-class engineers, data scientists, researchers, and other functional experts.
Deeply understand the Assistant ecosystem and define and analyze metrics that evaluate our trajectory and inform the success of our products.
Translate insights into product direction and empower cross-functional partners to execute in a data-informed manner throughout the entire product life-cycle.
Cultivate culture of executional excellence and analytical rigor.
7+ years of experience in managing other team members in a formal capacity and experience managing managers
7+ years of experience doing quantitative analysis
7+ years of experience in an analytical role in technology, hardware, consulting, investment banking, or product management
Experience with SQL or other analytic functions and data manipulation in Python or R
Experience initiating and driving projects to completion with minimal guidance
Experience communicating the results of analysis to influence company and product direction
Masters Degree in Computer Science, Business, Math, Physics, Engineering, or related quantitative field
Understanding of statistical analysis, experience with packages, such as Python, R, MATLAB, SPSS, SAS, Stata, etc.
Experience with large data sets and distributed computing (Hive/Hadoop/Spark)
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 firstname.lastname@example.org.