Data Scientist, Product

Meta; Salem (OR); Remote; USD 211,000 - 280,000; Full time

Job summary

A leading technology company is seeking a Data Scientist to collect and analyze statistical data to drive product development. Candidates should have a Bachelor's degree in a relevant field and experience with SQL and Python. This position allows for telecommuting from anywhere in the U.S. Competitive compensation package is offered, including salary, bonuses, and equity.

Benefits

Bonus

Equity

Comprehensive benefits

Qualifications

• Bachelor's degree in relevant field is required.
• Experience with SQL and Python is mandatory.
• Knowledge of machine learning and statistics is essential.

Responsibilities

• Collect and interpret statistical data for product design.
• Collaborate with teams to solve problems and identify trends.
• Execute product decisions and launches.

Skills

Data analysis

Quantitative analysis

Data mining

SQL

Python

Machine learning techniques

Education

Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, or a related field

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

Data Scientist, Product Responsibilities:

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

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.

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

4. Inform, influence, support, and execute our product decisions and product launches.

5. May be assigned projects in various areas including, but not limited to, 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 from anywhere in the U.S. permitted.

Minimum Qualifications

Minimum Qualifications:

1. Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field.

2. Requires completion of a university-level course, research project, internship, or thesis in the following:

3. 1. Performing quantitative analysis including data mining on highly complex data sets
4. 1. Data querying language: SQL
5. 1. Scripting language: Python
6. 1. Statistical or mathematical software including one of the following: R, SAS, or Matlab
7. 1. Applied statistics or experimentation, such as A/B testing, in an industry setting
8. 1. Machine learning techniques
9. 1. ETL (Extract, Transform, Load) processes
10. 1. Relational databases
11. 1. Large-scale data processing infrastructures using distributed systems
12. 1. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.

Public Compensation

$211,582/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].