Data Scientist
Seattle, WA
Meta
Giving people the power to build community and bring the world closer together- Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with consumer and business products.
- Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
- Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
- Building models of user behaviors for analysis or to power production systems.
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
- Design and
implement dashboards and reports that track key business metrics and provide actionable insights. - Inform, influence, support, and execute product decisions and product launches by effectively communicating results to cross functional groups.
- Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure.
- Requires a Master's degree (foreign degree equivalent accepted) in Computer Science, Engineering, Analytics, Statistics, Mathematics, or a related field.
- Requires completion of a graduate-level course, project or internship involving the following:
- 1. Machine learning techniques
- 2. Working with large data sets and network-based data (TCP or HTTP)
- 3. ETL (Extract, Transform, Load) processes
- 4. Relational database (SQL or PL*SQL)
- 5. Developing in scripting language: PHP, Python, or Perl
- 6. Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
- 7. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
- 8. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics, and
- 9. Communicating and presenting results of data analyses
$166,698/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 and Affirmative Action 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, 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 support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
Tags: Clustering Computer Science Data analysis Data Mining Data pipelines Distributed Systems Engineering ETL Hadoop Machine Learning Mathematics Matlab Perl PHP Physics Pipelines Python R RDBMS SAS SPSS SQL Stata Statistics VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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