Data Scientist, Analytics Internet & Ecommerce - Menlo Park, CA at Geebo

Data Scientist, Analytics

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.
Data Scientist, Analytics ResponsibilitiesCollect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
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.
May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations (from Meta s website) business acumen:
good understanding of business logics and applying data science to solve business problems.
Work cross functionally and communicating data insights to drive business decisions.
Minimum QualificationsRequires a Master's degree in Computer Science, Data Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
Position also requires completion of a university-level course, research project, internship, or thesis in the following1.
Performing quantitative analysis including data mining on highly complex data sets2.
Data querying language:
SQL3.
Scripting language:
Python4.
Statistical software:
R5.
Applied statistics in an industry setting6.
Machine learning techniques7.
ETL (Extract, Transform, Load) processes8.
Relational databases9.
Large-scale data processing infrastructures using distributed systems10.
Quantitative analysis techniques, including one of the following:
clustering, regression, and descriptive and inferential statistics.
LocationsAbout MetaMeta 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.
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.
$175,457/year to $196,900/year
bonus
equity
benefits Individual pay is determined by skills, qualifications, experience, and location.
Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable.
In addition to base salary, Meta offers benefits.
Learn more about benefits at Meta.
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