Data Scientist, Analytics (Technical Leadership)
Meta USA
Looking for a Remote Worldwide Data role? Data Scientist, Analytics (Technical Leadership) at Meta is listed on Makely Remote Jobs as a Full-time opening based in USA (United States). Review the role overview below, then apply on the employer’s original listing — Makely Remote Jobs does not process applications.
Role overview
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.ResponsibilitiesWork with complex data sets to solve challenging problems using analytical and statistical approaches* Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies* Identify and measure success through goal setting, forecasting, and monitoring key metrics* Partner with cross-functional teams to inform and execute product strategy and investment decisions* Build long-term vision and strategy for programs and products* Collaborate with executives to define and develop data platforms and instrumentation* Effectively communicate insights and recommendations to stakeholders* Define success metrics, forecast changes, and set team goals* Support developing roadmaps and coordinate analytics efforts across teamsQualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience* Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)* 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development* Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance* Experience with predictive modeling, machine learning, and experimentation/causal inference methods* Experience communicating complex technical topics in a clear, precise, and actionable manner 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy* Masters or Ph.D. Degree in a quantitative field* Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)* 10+ years of experience doing complex quantitative analysis in product analytics* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Summary provided for discovery. Always confirm details and apply on the original source. Makely Remote Jobs is not the employer and does not process applications.
Frequently asked questions
Is Data Scientist, Analytics (Technical Leadership) at Meta a remote job?
Yes. This listing is categorized as Remote Worldwide on Makely Remote Jobs. Confirm any location or timezone limits in the original posting before you apply.
What is the employment type for Data Scientist, Analytics (Technical Leadership)?
Source data lists this as Full-time. Always verify the contract type, benefits, and start date on the employer’s application page.
Where is Data Scientist, Analytics (Technical Leadership) located?
Listed location: USA. Many remote Data roles allow work-from-home with country or timezone restrictions — check the full description.
Do I apply on Makely Remote Jobs?
No. Makely Remote Jobs aggregates public remote job feeds for discovery. Use “Apply on Original Site” to open the employer’s official application URL. We never host applications or collect resumes.
Does Meta list salary for this Data role?
Salary was not published in the source feed. Check the original listing or ask the recruiter during screening for compensation details.