Data Scientist, Analytics
Menlo Park, CA | Remote, US
Meta
Giving people the power to build community and bring the world closer together
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.Data Scientist, Analytics Responsibilities
$189,953/year to $196,900/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
- 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.
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
- Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
- Telecommuting is permitted from anywhere in the United States.
- 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
- Requires 24 months of experience in the following:
- 1. Performing quantitative analysis, including data mining on highly complex data sets
- 2. Data querying languages, including SQL
- 3. Scripting languages, including Python
- 4. Statistical or mathematical software, including R, SAS, or Matlab
- 5. Applied statistics or experimentation, such as A/B testing, in an industry setting
- 6. Machine learning techniques
- 7. ETL (Extract, Transform, Load) processes
- 8. Relational databases
- 9. Large-scale data processing infrastructures using distributed systems and
- 10. Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.
$189,953/year to $196,900/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Categories:
Analyst Jobs
Data Science Jobs
Tags: A/B testing Clustering Computer Science Data Analytics Data Mining Distributed Systems Engineering ETL Machine Learning Mathematics Matlab Physics Python R RDBMS SAS SQL Statistics Testing VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Regions:
Remote/Anywhere
North America
Country:
United States
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