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Decision Scientist, Facebook Reality Labs
source link: https://www.facebook.com/careers/v2/jobs/522957285714976/
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Decision Scientist, Facebook Reality Labs
Decision Scientist, Facebook Reality Labs
Decision Scientist, Facebook Reality Labs
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The Facebook Reality Labs Marketing decision science team is responsible for driving world-class marketing measurement solutions to maximize FRL products’ business growth. The Decision Science team provides insightful analytics on overall marketing performance so we can better connect our users to FRL products. This role will work cross-functionally with marketing, product, data engineering, and research teams to provide insightful analytics and make business recommendations. We are seeking a talented analytics professional who thrives at the intersection of data, purchase behavior, marketing, product, and engineering. The ideal candidate will have a strong technical and analytical background, as well as an intense hunger to make a significant business impact by owning and driving business outcomes. Strong time management and communication skills are critical.
Typical projects will include planning and designing advanced marketing experimentations such as RCT, geo-based testing, and optimizing channel performance through targeting, creative optimization and intra channel levers to maximize marketing efficiency, as well as driving insights that can lead to new ways to market to our users.
Decision Scientist, Facebook Reality Labs Responsibilities
Partner with marketing, research, and product organizations to scope, design, execute, measure, and improve the impact of our marketing efforts of our business
Translate data insights into actions and recommendations that will drive user growth and engagement while improving marketing effectiveness
Expertise in advanced experimentation methods such as randomized trial, network experiments, geo-based testing, cross over experiments, synthetic control to measure marketing’s impact globally, and across our suite of AR/VR products (e.g., Oculus, Portal, etc.)
Identify, design and test optimization methods to improve marketing performance across digital channels as well as linear TV to maximize FRL product growth
Develop quantitative analysis, tools, ad hoc reports, and models to support marketing decision making. Analysis areas might include (but not limited to): acquisition, retention, lifetime value, targeting, messaging, promotions, usage and engagement
Produce data visualization such as charts, infographic, and dashboards to communicate findings and actionable recommendations to internal stakeholders clearly and effectively
Minimum Qualifications
A degree in economics, operations research, mathematics, statistics, engineering, psychology, or another field with quantitative roots and demands
4+ years of experience in data analysis, data science, decision science, or similar quantitative fields, applying experimentation methods to test various hypotheses for customer segmentation, user growth, and outbound marketing campaign evaluation
Experience finding and manipulating data to build data sets
Experience with statistical modeling and data analysis experience (e.g. significance testing, regression modeling, sampling theory, etc.)
Experience using R or Python or a similar scripting language for statistical modeling
Experience with SQL, Hive, Presto, Hadoop, or other data querying languages
Communication skills and stakeholder management. Experience translating quantitative findings into actionable insights and influence business decisions
Preferred Qualifications
An MBA or Master's or Doctorate degree in economics, operational research, mathematics, statistics, engineering, psychology, or another field with strong quantitative roots and demands
Management consulting experience or a similar career requiring one to present data-driven insights to business audiences
Experience developing data pipelines
Experience writing production code for automated models
Experience using open-source statistical packages such as Dplyr, Rstudio, NumPy, Pandas
Basic experience or basic understanding of machine learning, data mining, and natural language processing
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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].
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