Data Scientist, Product

Lensa; Burlingame (CA); On-site; USD 180,000 - 197,000; Full time

Job summary

A leading company in the tech industry is seeking a Data Scientist to join their innovative team. The ideal candidate will leverage diverse technical skills to enhance product offerings and drive data-driven decisions. Opportunities include working on complex data sets, collaborating across teams, and contributing significantly to product development. Competitive compensation package and inclusive work environment provided, along with comprehensive benefits.

Qualifications

• Experience in performing quantitative analysis and data mining.
• Familiarity with ETL processes and large-scale data processing infrastructures.
• Knowledge in statistical methods including A/B testing.

Responsibilities

• Collect, organize, interpret, and summarize statistical data.
• Analyze mobile application data and onboarding journeys.
• Partner with product and engineering teams to drive product decisions.

Skills

Data Analysis

Quantitative Analysis

Data Mining

Machine Learning

Education

Bachelor’s degree in Statistics, Mathematics, Data Analytics, Data Science

Tools

SQL

Python

R, SAS, or Matlab

Job description

1 day ago Be among the first 25 applicants

Lensa partners with DirectEmployers to promote this job for META.

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, 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.

Required Skills

Data Scientist, Product Responsibilities:

• Collect, 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 moderate scope where analysis of situations or data requires a review of a variety of factors.
• Exercise judgment within defined procedures and practices to determine appropriate action.
• Analyze mobile application data for wearable devices.
• Analyze user onboarding journeys in a mobile application.
  
  

Minimum Qualifications

Minimum Qualifications:

• Employer will accept a Bachelor’s degree in Statistics, Mathematics, Data Analytics, Data Science, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field.
• Position also requires completion of a university-level course, research project, internship or thesis, in the following:
• Performing quantitative analysis including data mining on highly complex data sets
• Data querying language: SQL
• Scripting language: Python
• Statistical or mathematical software including one of the following: R, SAS, or Matlab
• Applied statistics or experimentation, such as A/B testing, in an industry setting
• Machine learning techniques
• ETL (Extract, Transform, Load) processes
• Relational databases
• Large-scale data processing infrastructures using distributed systems
• Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.
  

Public Compensation

$180,148/year to $196,900/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 [e-mail].

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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