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.
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 Qualifications
- 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.
- Experience must include 6 years of experience in the following:
- 1. Statistical modeling and data analysis experience (e.g. significance testing, regression modeling, sampling theory, etc.),
- 2. Experience using Python or R for statistical modeling,
- 3. Experience with SQL, Hive, Presto, Hadoop, or other data querying languages,
- 4. Experience communicating with cross-functional stakeholders including brand strategists, marketing researchers, product marketing managers, and engineers,
- 5. Experience writing production code for automated models,
- 6. Experience developing data pipelines deployed in a production environment,
- 7. Experience in building models using techniques such as machine learning, clustering, neural networks or forecasting.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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.
$195,000/year to $235,400/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action
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.
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.
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