Data Scientist, Research, Storage Analytics
Job Summary
Job Description
This Data Scientist role focuses on storage analytics, working with engineering teams to provide strategic insights and build probabilistic models. Responsibilities include collaborating with stakeholders to define analytical problems, designing and evaluating models, gathering and processing data from various sources (SQL, R, Python), and ensuring data quality. The role requires working with limited precedent, translating business questions into tractable analysis, and presenting findings to executive leadership. The team aims to optimize storage resource usage based on user demands and hardware through resource abstraction, policy direction, system simplification, and algorithmic optimizations.
Must have:
- Master's degree in quantitative field
- 5 years experience in statistical data analysis
- 3 years experience managing analytical projects
- SQL, R, Python proficiency
- Develop and evaluate mathematical models
- Data gathering, extraction and compilation
- Collaborate with stakeholders and engineering teams
Good to have:
- 5 years experience in scripting and statistical analysis (R, Stata, SPSS, SAS)
- 3 years experience in a changing organization
- 1 year experience in preparing and delivering technical presentations to executive leadership
Perks:
- Bonus
- Equity
- Benefits
3 skills required
Job Details
Minimum qualifications:
- Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
- 5 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
- 3 years of experience managing analytical projects.
Preferred qualifications:
- 5 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
- 3 years of experience working in a changing organization.
- 1 year of experience preparing and delivering technical presentations to executive leadership.
About the job
The team's goal is for Storage to make optimal use of the evolving user demands and hardware through resource abstraction, policy direction, system simplification, and algorithmic optimizations.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Work with Engineering teams and other Data Scientist to provide strategic insights and direction, build probabilistic models of the systems, and compare those models with production to identify opportunities.
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer, provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via tools (e.g., SQL, R, Python), and format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
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