Data Scientist, Research, Storage Analytics

2 Months ago • 8-10 Years • Data Analyst • $150,000 PA - $223,000 PA

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

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.

The US base salary range for this full-time position is $150,000-$223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

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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