Decision Scientist

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Decision Scientist
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The Marketing team focuses on building Facebook's brand presence by improving user sentiment and product education. Our Marketing team seeks to understand how our users feel about our products so we can help people better understand Facebook's intent and mission and guide our users to key features that can enrich their lives. The Decision Science team provides insightful analytics on consumer perception of the Facebook experience as a consultative partner to our Marketing team so we can better connect our users to Facebook and our products. We are seeking a talented analytics professional who thrives at the intersection of data, human 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.
Decision Scientist Responsibilities
  • Partner with our marketing teams to make well-informed decisions backed by product usage data and survey results
  • Empathize with Facebook 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
  • 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.)
  • Experience using R or Python or a similar scripting language for statistical modeling
  • 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
Locations
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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.
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