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Data Scientist, Analytics

Meta
Posted 2 months ago, valid for 14 days
Location

New York, NY 10008, US

Salary

$218,723 - $240,460 per year

Contract type

Full Time

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Sonic Summary

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  • Meta Platforms, Inc. is seeking a candidate with a Master's degree in Statistics, Mathematics, Data Analytics, or a related field, along with 24 months of relevant experience.
  • The role involves quantitative analysis, data mining, and collaboration with Product and Engineering teams to identify trends and inform product decisions.
  • Responsibilities include forecasting product goals, conducting exploratory analysis, influencing product teams with data-driven recommendations, and working with data infrastructure tools like Hadoop and Hive.
  • Candidates must have experience with ETL processes and statistical analysis using tools such as R, MATLAB, or SAS, as well as strong communication skills for presenting data findings.
  • The salary for this position ranges from $218,723 to $240,460 per year, plus bonuses, equity, and benefits.
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.

Responsibilities

  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
  • Inform, influence, support, and execute our product decisions and product launches.
  • Work across the following four areas: Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product, metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics.
  • Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis or to power production systems.
  • Product Leadership: influencing product teams through presentation of databased recommendations, communicating state of business, experiment results, etc. to product teams and spreading best practices to analytics and product teams.
  • Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.


Minimum Qualifications

  • Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, or a related field and 24 months of experience in the job offered or in a Data Science-related occupation
  • Requires 24 months of experience involving the following:
  • ETL (Extract, Transform, Load) processes
  • Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
  • Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
  • Communicating and presenting results of data analyses


$218,723/year to $240,460/year + bonus + equity + benefits



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