Senior Data Scientist
Menlo Park, CA
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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.Senior Data Scientist Responsibilities
US$223,021/year to US$235,400/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.
- Works on complex projects where analysis of situations and decision making requires an in-depth evaluation of variable factors.
- Receives directional guidance
- Work is done independently, reviewed upon completion, and influences team level goals and objectives.
- Influences outcomes in cross functional settings.
- Contributes to community through organizational efforts to build and sustain diversity, culture, recruitment, onboarding, mentoring, and/or development programs.
- Networks with key internal and external contacts and uses persuasion in delivering messages, mostly within own area of expertise and sometimes outside.
- Advises team and XFN partners on complex matters in a product/business area.
- Takes a broad perspective to problems and exercises independent judgment in methods, techniques, and evaluation criteria for obtaining results.
- Engages leaders to gain buy-in and support for a new direction or opportunity.
- Contributes to setting team level goals.
- Identifies, explains, and acts on own strengths and development needs.
- Requires a Bachelor's degree (or foreign equivalent degree) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field and 1 year of experience in the job offered or in a computer-related occupation.
- Experience must include 1 year of experience in the following:
- 1. Performing quantitative analysis including data mining on highly complex data sets
- 2. Data querying language: SQL
- 3. Scripting language: Python
- 4. Statistical or mathematical software including one of the following: 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 and
- 9. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.
US$223,021/year to US$235,400/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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Category:
Data Science Jobs
Tags: A/B testing Clustering Computer Science Data Analytics Data Mining 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
Region:
North America
Country:
United States
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