Data Scientist, Product

Meta; Denver (CO); Remote; USD 216,000 - 236,000; Full time

Job summary

A leading technology company in Denver seeks a Data Scientist to analyze and interpret statistical data, collaborate with product teams, and support product launches. Applicants should hold a PhD in a relevant field with skills in machine learning and large data sets. The position offers a competitive salary and the flexibility to telecommute from anywhere in the US.

Benefits

Bonus

Equity

Benefits

Qualifications

• PhD degree in Computer Science, Engineering, Information Systems, or related field.
• Experience with machine learning techniques and large data sets.
• Familiarity with ETL processes and SQL.

Responsibilities

• Interpret and summarize statistical data for product development.
• Collaborate with Product and Engineering teams to identify trends.
• Support product decisions and launches based on data analysis.

Skills

Data statistical analysis

Machine learning techniques

Quantitative analysis

Working with large data sets

Communicating and presenting results

Education

PhD in Computer Science or related field

Tools

R

Python

SQL

Hadoop

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 diverse scope where analysis of data requires evaluation of identifiable factors.

7. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

8. Telecommute from anywhere in the US permitted.

Minimum Qualifications:

Minimum Qualifications:

1. Requires a PhD degree(or foreign equivalent degree) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following:

2. 1. Machine learning techniques
3. 1. Working with large data sets and network-based data (TCP or HTTP)
4. 1. ETL (Extract, Transform, Load) processes
5. 1. Relational database (SQL or PL*SQL)
6. 1. Developing in scripting language: PHP, Python, or Perl
7. 1. Statistical analysis using R, MATLAB, Mathematica, ROOT, SPSS, SAS, or Stata
8. 1. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, LCG, or MPI)
9. 1. Quantitative analysis techniques: clustering, regression, patterns recognition, or descriptive and inferential statistics
10. 1. Communicating and presenting results of data analyses.

Public Compensation:

$216,571/year to $235,400/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].