Facebook Manager, Analytics Solutions Engineering in Menlo Park, California
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 seeking an experienced Manager to lead the Analytical Solutions Engineering team within the Infra Data Center (IDC) Data Science organization. This IDC Data science org owns the data engineering, business intelligence, advanced analytics and analytics solution engineering for the entire Infrastructure Data Center organization. The manager will build, lead and develop a team of solutions engineers who are full stack BE & FE developers. The team will be focused on productionalizing advanced analytics models and building productivity tools for the IDC organization. Prior knowledge in applied data science is a plus. Help build Facebook’s world class data centers & empower them withML/AI driven tools in partnership with our core data science team to allow our facilities and sites to become autonomous and better serve over 2.5 billion people globally! This position is full-time and based in our Menlo Park office.
Help plan, design, build and operate our data centers through automation of analytical software solutions utilizing large volumes of mission-critical data, to analyze trends, surface anomalies, optimize complex logistics & operations, as well as enable real-time ML & AI solutions. All while using the latest big data technologies, programming languages, frameworks and open-source libraries.
Build, lead and develop the Analytics Solution Engineering team of individual contributors ranging from less experienced to very experienced software engineers.
Form strong partnerships across the IDC org to collaborate and deploy data analytics product solutions and overall productivity tools.
Partner with multiple cross-functional teams in order to define problem statements, design & build solution and implement them.
Identify and implement streamlined processes tooling and solution intakes and create a roadmap of deliverables.
Provide leadership and mentorship to members of cross-functional teams.
Oversee development and implement productivity SW tools based on data analytics which allow our data center pre-ops and operations teams to be more efficient in planning, designing, building and operating the data centers.
Oversee SW product development of the advanced analytics models (ML, AI & OR) built by the core data science team and integrate them with the IDC operations.
Help scale and optimize our overall data center capacity by developing cutting edge tools which improve efficiency and bring automation to our data centers.
Partner with the operational & engineering teams in order to implement, verify and iterate on the analytical solutions being developed.
Lead and support various ad hoc projects, as needed, in support of Facebook’s Infrastructure strategy.
Bachelor’s degree in Computer Science, Electrical Engineering, Operations Research or other related technical field
3+ years of experience leading teams and hands-on people management in a matrixed organization
System design experience (data modeling, BE Design)
Demonstrated experience in leading cross-functional projects
Proven experience mentoring individual contributors
Proven experience communicating SW solutions to all organizational levels
MS or PhD degree in Computer Science, Electrical Engineering, Operations Research or other technical or engineering field
Experience in HDFS, Hive
Hands-on experience with datasets (i.e. data extraction, cleaning, analysis and presentation)
Experience in applied Machine Learning and productionize data science models
Experience with big data and statistics
Experience with algorithms and optimization
Technical knowledge of data center operations
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@example.com.