Decision Scientist

About the job

At Reality Labs, our mission is to help people build community and bring the world closer together by giving them the tools to feel connected anywhere, anytime with our products. To support this mission, we are seeking an experienced and highly skilled Marketing Decision Scientist to join our growing team. As part of the Reality Labs decision science team, your role will be instrumental in leveraging data, analytics, and scientific methods to provide actionable insights that inform and optimize influencer marketing strategies aimed at connecting users to Meta and our products. The ideal candidate will possess 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.

Decision Scientist Responsibilities:


Partner with our marketing teams to make well-informed decisions backed by product usage data and survey results
Empathize with Meta's users' attitudes, emotions, and opinions to promote product awareness and meaningful interactions on the platform
Partner with marketing, research, and product organizations to scope, design, execute, measure, and improve the impact of our marketing efforts on the world and on our business
Translate data insights into actions and recommendations that will drive brand sentiment, user growth and engagement, and marketing effectiveness
Develop quantitative analysis, tools, ad hoc reports, and models to support marketing decision making. Analysis areas might include (but not limited to): retention, sentiment, lifetime value, 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
3+ years of experience in data analysis, data science, decision science, or similar quantitative fields, applying experimentation methods to test various hypotheses for customer segmentation, consumer sentiment or perception, and outbound online marketing campaign evaluation
Experience finding, cleaning, and manipulating data to build data sets
Statistical modeling and data analysis experience (e.g. significance testing, regression modeling, sampling theory, etc.)
Advanced experience using R or Python or a similar scripting language for statistical modeling
Advanced experience with SQL, Hive, Presto, Hadoop, or other data querying languages
Experience communicating with cross-functional stakeholders including brand strategists, marketing researchers, product marketing managers, and engineers
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.


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


About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta 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 accommodations-ext@fb.com.
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