2

Research Scientist TLM — Statistical Learning and Experimentation

 3 years ago
source link: https://www.facebook.com/careers/v2/jobs/137462798337816/
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
neoserver,ios ssh client
Research Scientist TLM — Statistical Learning and Experimentation
COVID-19 update: Protecting the health and safety of our communities—including our teams and of those considering a career at Facebook—is our highest priority. We continue to closely monitor the evolving situation and we appreciate your understanding and flexibility with any related changes to our interviewing process. Learn how our teams are helping to keep people safe, informed, and connected.

Research Scientist TLM — Statistical Learning and Experimentation

Research Scientist TLM — Statistical Learning and Experimentation
Location pin icon
Bellevue, WA | + 6 more
You can submit up to three job applications every 90 days. Be sure to apply for roles that strongly match your skills and work experience.

Our Statistics & Privacy team focuses on establishing step-change improvements to advance our long-term business growth. The team's expertise spans many domains including statistics, machine learning, economics, and cryptography. We develop methodologies, design and prototype solutions, and partner with our engineering colleagues to launch these solutions such that 3 billion people and 200 million businesses on our platform can benefit. Examples include internal and external experimentation platforms, ads delivery optimization for efficient causal outcomes, and the application of privacy-enhancing technologies across our ads product stack.

Facebook seeks an industry-experienced Research Science leader to join Statistics & Privacy. This managerial role is designed specifically for a Research Science leader to remain hands-on for technical and scientific development, while also directly supporting a small team of research scientists, and leading on a small set of org-level capacity-building responsibilities. Cutting-edge applied research necessitates identification and evaluation of new research opportunities, and development of scientifically rigorous systems. Research scientists drive forward prototypes and methodologies, and build consensus with engineering stakeholders as to the scientific and strategic merit of our initiatives. This role will focus on ranking, delivery, and experimentation systems that power our advertising and commerce capabilities.

Research Scientist TLM — Statistical Learning and Experimentation Responsibilities
Hire and lead highly skilled research scientists, providing mentorship and career guidance to members of the team
Identify specific, high-impact opportunities to build new and improve existing advertising and commerce solutions based on deep learning (retrieval, ranking, recommender systems), experimentation and inference systems
Design and prototype new algorithms, optimization methods, and system architectures with hands-on implementation and development
Shepherd the team’s research and development projects, ensuring high-quality communication across diverse leadership audiences, and taking responsibility for the team’s long-term product impact
Build cross-functional relationships to shape long-term roadmaps with a balance of scientific rigor and strategic considerations
Learn new tools, systems and languages quickly as required by the particular project you are working on
Manage the development of presentations, patent applications, white papers and publications of research results in top-tier journals and at leading conferences, in a manner that is broadly appealing and accessible beyond a core scientific audience
Lead author of publications at top-tier peer-reviewed journals or conferences (e.g. NeurIPS, ICML, JSM, KDD)
Minimum Qualifications
PhD in a quantitative field such as statistics, computer science, physics, or computational social science and 4+ years of relevant experience, or MS/MA degree with 8+ years of relevant experience
Expertise in statistics (particularly causal inference and Bayesian inference) or deep learning (particularly ranking, retrieval and recommender systems), including addressing challenges from incomplete, unrepresentative, and mislabeled data
Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets
Proficiency in Python, Julia, or R, including leveraging large (TB) datasets
Proficiency in communicating analyses and establishing confidence among audiences who do not share your disciplinary background or training
Track record of product or systems innovation, and strategic focus
Preferred Qualifications
4+ years of experience in leading and developing highly technical and/or applied research teams, including performance management and recruiting
Locations
About the Facebook company
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.
Facebook is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to [email protected].
(Colorado only*) Minimum salary of $207,000/year + bonus + equity + benefits
*Note: Disclosure as required by sb19-085(8-5-20)

report

Recommend

About Joyk


Aggregate valuable and interesting links.
Joyk means Joy of geeK