Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for META. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.
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:
- Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products.
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
- Inform, influence, support, and execute our product decisions and product launches.
- The Data Scientist Analytics role has work across the following four areas: Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics.
- Exploratory Analysis: Proposing what to build in the next roadmap, Understanding ecosystems, user behaviors, and long-term trends, Identifying new levers to help move key metrics, Building models of user behaviors for analysis or to power production systems.
- Product Leadership: Influencing product teams through presentation of data-based recommendations, Communicating state of business, experiment results, etc to product teams, Spreading best practices to analytics and product teams, Leading cross-functionally on defining and executing on analyses, including across other data scientists, data engineers, software engineers, user researchers, and others.
- Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.
Minimum Qualifications
Minimum Qualifications:
- Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2 years of work experience in the job offered or in a computer-related occupation.
- Requires 1 year of experience in the following:
- Applied statistics, including causal inference and experimentation (i.e. AB testing) in an industry setting, especially for complex multi-sided ecosystems and/or low sample size environments
- Complex quantitative analysis and working with distributed (i.e. Hive, Hadoop or similar databases) or highly complex dataset
- Development in any scripting language (PHP, Python, Perl, etc.)
- Exploratory analysis and market sizing to inform development of new product strategy
- Communicating the results of analyses and aligning cross-functional teams to influence the strategy
- Providing analytical support in 1+ of these backgrounds: B2B/Enterprise companies, Advertising Technology/Digital Advertising, Financial Technology, Platforms/Marketplaces, Front-end tools for business customers, Quantitative Consulting and
- One or more of these types of analytics: Back-end quality/Performance & Reliability, Risk and Integrity, Infrastructure system design, Marketing Analytics.
Public Compensation
$209,720/year to $235,400/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.
If you have questions about this posting, please contact support@lensa.com
