Data Science, Analytics
Menlo Park, CA
- Leverage expert knowledge of quantitative analysis, data mining, and the presentation of data to infer user trends and business information from user data extracted from Meta platforms and applications.
- Mine massive amounts of data and perform large-scale data analysis to extract useful business insights such as user preferences, market trends, and app utilization.
- Develop data pipelines with automated, machine-learning systems that convert unorganized core datasets into comprehensible models of user behavior.
- Build models of user behaviors for analysis or to influence app or platform production.
- Partner with Product and Engineering teams to solve problems in programs, software, and deliverables.
- Identify problem trends and opportunities to create efficiencies in data software, dashboards, or pipelines.
- Design and implement data reporting dashboards and data reports that track key business metrics that can be used to facilitate data-driven business decision-making.
- Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
- Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help drive the innovation of new data reporting and analysis tools, products, and programs.
- Master's degree in Computer Science, Engineering, Analytics, Mathematics, Information Science or a related field and one year of experience in the job offered or in a related occupation. Foreign degree equivalent accepted.
Experience must include 12 months involving the following: - 1. Coding: SQL, Python
- 2. Data visualization: Tableau, Looker
- 3. Data Storytelling
- 4. Statistical Analysis
- 5. A/B Test
- 6.Cross-functional collaboration
- 7. Conducting analysis to drive product strategy and product roadmap
- 8. Creating and maintaining dashboards to monitor product health and
- 9. Design product metric to drive product growth and monitor product health.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: Computer Science Data analysis Data Mining Data pipelines Data visualization Engineering Looker Mathematics Physics Pipelines Python SQL Statistics Tableau VR
Perks/benefits: Career development Equity Health care Salary bonus
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