Data scientist

Facebook App; Honolulu (HI); Remote; USD 221,000 - 236,000; Full time

Job summary

A leading technology firm seeks a Data Scientist to develop scalable data solutions and contribute to business intelligence initiatives. The ideal candidate will have strong skills in quantitative analysis and experience in statistical modeling, along with a Bachelor's degree in a relevant field. This remote opportunity allows for flexible telecommuting from anywhere in the U.S.

Qualifications

• Experience with quantitative analysis through coursework, projects, or internships.
• Knowledge in A/B Testing, Data Mining, and Statistical Modeling.
• Proficiency in SQL and Python.

Responsibilities

• Collect, organize, interpret and summarize statistical data.
• Drive business intelligence projects and efficient data exploration.
• Build scalable solutions leveraging statistical and machine learning methodologies.

Skills

Quantitative Analysis

A/B Testing

Statistical Modeling

Data Mining

Data Visualization

SQL

Python

Education

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

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 Responsibilities:

Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of company infrastructure.

Apply experience in quantitative analysis and data mining to improve, and optimize across a variety of domains with an emphasis on long-term and strategic initiatives.

Work cross-functionally to define priorities and develop business intelligence project roadmaps in synergy with partner teams.

Drive execution through fast iteration.

Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps.

Drive efficient data exploration and modeling.

Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing statistical and machine learning methodologies.

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

Telecommuting is permitted from anywhere in the U.S.

Minimum Qualifications:

Minimum Qualifications:

Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Cognitive Science, or a related field. Requires completion of an undergraduate-level course, research project, or internship involving the following:

1. Quantative Analysis

2. A/B Testing and Research Design

3. Statistical Modeling

4. Data Mining

5. Data Visualization and Storytelling

6. SQL

7. Python.

Public Compensation:

$221,024/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].