Data Scientist, Research, Storage Analytics
Job Summary
Job Description
This Data Scientist role within Research, Storage Analytics focuses on optimizing resource utilization and system efficiency. You will collaborate with engineering teams and stakeholders to build probabilistic models of the systems, identify improvement opportunities, and translate business questions into actionable analysis. Responsibilities include designing and evaluating models, gathering data, performing data validation, and communicating insights to leadership.
Must have:
- Master's degree in related field
- 5 years of experience with statistical data analysis
- 3 years of experience managing analytical projects
- Experience with scripting (e.g., R, Python)
- Experience with SQL and data mining
Good to have:
- 5 years of experience developing and managing metrics
- 3 years of experience working in a changing organization
- 1 year of experience preparing technical presentations
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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