Job Information
Meta Data Scientist, Trust & Safety in Menlo Park, California
Summary:
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will have the opportunity to work on complex and meaningful problems that have a direct impact on the lives of people around the world. You will have the chance to work with cutting-edge technology and tools to develop innovative solutions to some of the most pressing challenges facing our platform. You will have the satisfaction of knowing that your work is making a real difference in the lives of people and helping to create a safer and more trustworthy online community.
Required Skills:
Data Scientist, Trust & Safety Responsibilities:
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 operational strategies.
Leverage ML and cutting edge GenAI capabilities to drive optimization for our investigative teams.
Lead the measurement, analysis, and interpretation of results from data requirement gathering, to modeling, and recommendations.
Identify and measure success of efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions.
Minimum Qualifications:
Minimum Qualifications:
6+ years of work experience in analytics (minimum of 4 years with a Ph.D.)
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Experience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, Statsmodels, Scikit-learn, Tidyverse (dplyr, ggplot2, etc.)
Experience in leveraging ML and advanced GenAI to deliver data driven insights at scale.
Preferred Qualifications:
Preferred Qualifications:
- Masters or Ph.D. Degree in a quantitative field.
Public Compensation:
$150,000/year to $213,000/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 accommodations-ext@fb.com.