Decision Scientist - Meta

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.

Required Skills:

Decision Scientist Responsibilities:

1. Partner with our marketing teams to make well-informed decisions backed by product usage data and product perception data (survey based).

2. Develop quantitative analysis, tools, ad hoc reports, and models to support marketing decision making.

3. Analysis areas might include (but not limited to): retention, sentiment, lifetime value, messaging, promotions, usage, and engagement.

4. Produce data visualization and automated solution to communicate findings and actionable recommendations to internal stakeholders clearly and effectively.

5. Translate data insights into actions and recommendations that will drive brand sentiment, user growth and engagement, and marketing effectiveness.

6. 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.

7. Empathize with Meta's users' attitudes, emotions, and opinions to promote product awareness and meaningful interactions on the platform.

Minimum Qualifications:

Minimum Qualifications:

8. Requires a Master’s degree (or foreign degree equivalent) in Computer Science, Computer Engineering, or a related field and 6 years of experience in the job offered or in a quantitative field.

9. Experience must include 6 years of experience in the following:

10. 1. Statistical modeling and data analysis experience (e.g. significance testing, regression modeling, sampling theory, etc.),

11. 2. Experience using Python or R for statistical modeling,

12. 3. Experience with SQL, Hive, Presto, Hadoop, or other data querying languages,

13. 4. Experience communicating with cross-functional stakeholders including brand strategists, marketing researchers, product marketing managers, and engineers,

14. 5. Experience writing production code for automated models,

15. 6. Experience developing data pipelines deployed in a production environment,

16. 7. Experience in building models using techniques such as machine learning, clustering, neural networks or forecasting.

Public Compensation:

$195,000/year to $235,400/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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.