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Data Scientist, Analytics
Data Scientist, Analytics-November 2024
Sunnyvale
Nov 18, 2024
ABOUT META
We’re building a team as diverse as the communities and billions of people we serve every day. Our teammates don’t need to conform here. Lived experiences are an asset, and we value your unique perspe
10,000+ employees
Social Media, Technology
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About Data Scientist, Analytics

  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, WhatsApp, and Novi 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:

  Data Scientist, Analytics 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 andproduct launches.

  Forecast and set product team goals.

  Design and evaluate experiments.

  Monitor key product metrics and understand root causes of changes in metrics.

  Build and analyze dashboards and reports and build key data sets to empower operational and exploratory analysis.

  Evaluate and define metrics.

  Propose what to build in the next roadmap by understanding ecosystems, user behaviors, and long-term trends.

  Identify new levers to help move key metrics and build models of user behaviors for analysis or to power production systems.

  Influence product teams through presentation of data-based recommendations.

  Communicate state of business, experiment results, among others, to product teams and spreadbest practices to analytics and product teams.

  Work primarily in Hadoop and Hive, in addition to MySQL, Oracle, and Vertica, and automate analyses and authoring pipelines via SQL andPython-based ETL frameworks.

  Minimum Qualifications:

  Minimum Qualifications:

  Master's degree in Computer Science, Industrial Engineering, Operations Research, Mathematics, Statistics, or a related field. 24 months of experience In the job offered or in a computer-related occupation. Experience must include 24 months of experience in the following skills and technologies:

  Machine learning techniquesETL (Extract, Transform, Load) processesRelational database (SQL or PL*SQL)Developing in scripting language: PHP, Python, or PerlLarge-scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)Communicating and presenting results of data analyses.Public Compensation:

  $170,520/year to $191,000/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 [email protected].

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