Decision Scientist - Menlo Park, United States - Meta

Meta
Meta
Verified Company
Menlo Park, United States

2 weeks ago

Mark Lane

Posted by:

Mark Lane

beBee recruiter
Description

Decision Scientist Responsibilities:


  • Partner with our marketing teams to make wellinformed decisions backed by product usage data and survey results
  • Empathize with Meta products 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:


  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 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 crossfunctional stakeholders including brand strategists, marketing researchers, product marketing managers, and engineers

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 datadriven insights to business audiences
  • Experience developing data pipelines
  • Experience writing production code for automated models
  • Experience using opensource statistical packages such as Dplyr, Rstudio, NumPy, Pandas
  • Experience with Causal Inference Modeling
  • Experience with longitudinal timeseries prediction modeling or other types of predication models
  • Basic experience or basic understanding of 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.

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