Data Scientist, Analytics

Meta; Honolulu (HI); Remote; USD 189,000 - 197,000; Full time

Job summary

A technology company is seeking a Data Scientist based in Hawaii. The role involves working with large data sets to drive product strategy and improve metrics. Candidates should have a Bachelor's degree in a relevant field, experience with quantitative analysis, and familiarity with tools like SQL and Python. The position offers a competitive salary between $189,953 and $196,900 per year, plus bonuses and equity. Telecommuting is allowed anywhere in the United States.

Benefits

Bonus

Equity

Benefits

Qualifications

• Requires 24 months of experience in quantitative analysis and data mining.
• Experience with A/B testing in an industry setting is a must.
• Experience with large-scale data processing infrastructures is preferred.

Responsibilities

• Work with large data sets to solve complex problems.
• Develop strategies based on data analysis.
• Partner with cross-functional teams to drive product strategy.

Skills

Quantitative analysis

Data mining

Data querying languages (SQL)

Scripting languages (Python)

Machine learning techniques

Education

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

Tools

Statistical software (R, SAS, Matlab)

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:

Data Scientist, Analytics Responsibilities:

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.

2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.

3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.

4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

6. Telecommuting is permitted from anywhere in the United States.

Minimum Qualifications:

Minimum Qualifications:

1. Requires Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field and 24 months of experience in the job offered or in a data analytics-related position. Foreign degree equivalent accepted

2. Requires 24 months of experience in the following:

3. 1. Performing quantitative analysis, including data mining on highly complex data sets
4. 1. Data querying languages, including SQL
5. 1. Scripting languages, including Python
6. 1. Statistical or mathematical software, including 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 and
12. 1. Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.

Public Compensation:

$189,953/year to $196,900/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].