Decision Scientist

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.

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:

• 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 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

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.