Enable job alerts via email!

Scientist product

Facebook App

Des Moines (IA)

Remote

USD 236,000 - 280,000

Full time

Yesterday
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

Meta Platforms is hiring a Decision Scientist to help analyze and interpret complex data sets to inform marketing campaigns and product decisions. This role involves working with marketing and engineering teams, utilizing statistical analysis and machine learning techniques to derive actionable insights. Applicants should hold a Bachelor's degree in a relevant field and possess expertise in data analytics tools and techniques. Competitive compensation with a salary range of $236,474 to $279,400 is offered.

Qualifications

  • Two years of experience in data mining and quantitative analysis required.
  • Experience with A/B testing and large-scale data processing needed.
  • Strong knowledge of statistical analysis techniques is crucial.

Responsibilities

  • Collect and analyze statistical data to support marketing campaigns.
  • Collaborate with marketing and engineering teams to identify trends.
  • Execute product go-to-market decisions based on data insights.

Skills

Quantitative analysis
Data mining
SQL
Python
R
SAS
Machine learning techniques

Education

Bachelor's degree in Statistics, Mathematics, or related field

Tools

Statistical software
ETL processes
Relational databases

Job description



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:

Decision Scientist, Product Responsibilities:

1. Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of marketing campaigns for Meta products and brands.

2. 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, as well as with our ads and social marketing pages.

3. Partner with Marketing and Engineering teams to solve problems and identify trends and opportunities.

4. Inform, influence, support, and execute our product go-to-market decisions and product launches.

5. May be assigned projects in various areas including, but not limited to, consumer marketing campaign support, product operations, exploratory analysis, product influence, and data infrastructure.

6. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.

7. Exercise judgment within defined procedures and practices to determine appropriate action.

8. Telecommuting is permitted from anywhere in the U.S.

Minimum Qualifications:

Minimum Qualifications:

9. Bachelor's degree (or foreign degree equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation.

10. Requires two years of experience in the following:

11. 1. Performing quantitative analysis including data mining on highly complex data sets

12. 2. Data querying language: SQL

13. 3. Scripting language: Python

14. 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab

15. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting

16. 6. Machine learning techniques

17. 7. ETL (Extract, Transform, Load) processes

18. 8. Relational databases

19. 9. Large-scale data processing infrastructures using distributed systems, AND

20. 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.

Public Compensation:

$236,474/year to $279,400/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 accommodations-ext@fb.com.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Scientist product

Facebook App

Madison null

Remote

Remote

USD 236,000 - 280,000

Full time

3 days ago
Be an early applicant

Machine Learning Scientist

Whatnot

Seattle,Los Angeles,New York,San Francisco null

Remote

Remote

USD 180,000 - 270,000

Full time

8 days ago

Clinical Research Scientist- Global and US Medical Affairs, Immunology

Eli Lilly and Company

null null

Remote

Remote

USD 168,000 - 247,000

Full time

Today
Be an early applicant

Applied Research Scientist

AMD

San Jose null

Remote

Remote

USD 163,000 - 246,000

Full time

Yesterday
Be an early applicant

Staff Data Scientist, ML - Growth United States, Remote

Quince

null null

Remote

Remote

USD 150,000 - 350,000

Full time

Today
Be an early applicant

Chief Data Scientist (Remote)

TRIMEDX

Chicago null

Remote

Remote

USD 150,000 - 250,000

Full time

Today
Be an early applicant

Chief Data Scientist (Remote)

TRIMEDX

Town of Texas null

Remote

Remote

USD 150,000 - 250,000

Full time

Today
Be an early applicant

Chief Data Scientist (Remote)

MedStar Health

San Francisco null

Remote

Remote

USD 150,000 - 250,000

Full time

Today
Be an early applicant

Chief Data Scientist (Remote)

MedStar Health

Chicago null

Remote

Remote

USD 150,000 - 250,000

Full time

Today
Be an early applicant