[Hiring] Data Scientist, Analytics @Meta

Role Description

• Design, model, or implement data warehousing activities in order to contribute to the design and development of Meta products.
• Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems.
• Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve.
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
• Design, build and launch new data models and visualizations in production, leveraging common development toolkits.
• Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around creating efficient queries.
• Support existing processes running in production and implement optimized solutions with limited guidance.
• Define and manage SLA for data sets in allocated areas of ownership.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
• May telecommute from anywhere in the US.
• Conduct opportunity sizing analysis to determine the impact of specific initiatives and the return on investment.
• Conduct A/B testing to understand the incremental changes to product performance and user behavior as a result of changes in product features or infrastructure.
• Collaborate with stakeholders to communicate analytical insights and determine product strategy.

Qualifications

• Requires a Bachelor's degree (or foreign degree equivalent) in Business Administration, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field.
• Five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation.

Requirements

• Five years of experience in the following:
• Custom ETL design, implementation, and maintenance.
• Schema design and dimensional data modeling.
• Writing SQL statements.
• Analyzing data to identify deliverables, gaps and inconsistencies.
• Managing and communicating data warehouse plans to internal clients.
• Experience in a quantitative field, such as consulting, market research, media research.
• Experience in working with large datasets and using SQL or similar tools for data extraction and manipulation.
• Experience communicating complex concepts to non-technical audiences.
• Direct experience scoping and executing research projects with clients and/or cross-functional stakeholders.

Benefits

• $232,268/year to $235,400/year + bonus + equity + benefits.