Decision Scientist

Summary

The International Markets team is responsible for developing and executing on an end-to-end, marketing and growth strategy across Consumer, Creator and Business Marketing for Instagram & Facebook in countries outside of the US. Our Marketing team seeks to understand how our users feel about our products so we can help people better understand Meta's intent and mission and guide our users to key features that can enrich their lives. The Decision Science team provides insightful analytics on users perceive and use our products to design marketing and growth strategies. 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.

Required Skills

Decision Scientist Responsibilities:

• Partner with our marketing teams to make well-informed decisions backed by product usage data and product perception data (survey based)
• 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 and automated solution to communicate findings and actionable recommendations to internal stakeholders clearly and effectively
• Translate data insights into actions and recommendations that will drive brand sentiment, user growth and engagement, and marketing effectiveness
• 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
• Empathize with Meta's users' attitudes, emotions, and opinions to promote product awareness and meaningful interactions on the platform

Minimum Qualification

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 8+ years of experience working in a quantitative field such as Data Science, Decision Science or similar field applying experimentation methods to test various hypotheses (or 6+ years of experience with a Masters Degree, or 3+ years of experience with a PhD)
• Statistical modeling and data analysis experience (e.g. significance testing, regression modeling, sampling theory, etc.)
• Experience using Python or R 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

Preferred Qualification

Preferred Qualifications:

• An or Doctorate degree in engineering, mathematics, statistics, psychology or another field with strong quantitative roots and demands
• Experience developing data pipelines
• Experience writing production code for automated models
• Experience using open-source statistical packages such as Dplyr, Rstudio, NumPy, Pandas
• Strong understanding and experience with machine learning, data mining, and natural language processing

EOE

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 [email protected].