Data Scientist, Analytics
Location
United States
Posted
86 days ago
Salary
$232.3K - $235.4K / year
Seniority
Mid Level
No structured requirement data.
Job Description
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.
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