Scientist product

Facebook App; Madison (WI); Remote; USD 236,000 - 280,000; Full time

Job summary

Meta Platforms, Inc. is seeking a Decision Scientist to enhance marketing strategies through data insights. In this role, you will apply quantitative analysis and collaborate with teams to drive decisions for product launches and marketing campaigns. Ideal candidates will have a strong background in statistics and programming.

Qualifications

• Bachelor's degree (or equivalent) in relevant fields.
• Minimum two years of experience in quantitative analysis.
• Proficient in SQL and Python for data querying and processing.

Responsibilities

• Collect and analyze data to assist in marketing decisions.
• Collaborate with Marketing and Engineering to identify trends.
• Work on various projects including campaign support and product launches.

Skills

Quantitative analysis

Data mining

SQL

Python

Machine learning

Education

Bachelor's degree in Statistics

Master's degree in related fields

Tools

R

SAS

Matlab

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 [e-mail].