Data Scientist, Research, Storage Analytics
: Job Details :

Data Scientist, Research, Storage AnalyticsApplyinfo_outlineNote: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Sunnyvale, CA, USA.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 JobThe 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.ResponsibilitiesWork with Engineering teams and other Data Scientists 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.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.#J-18808-Ljbffr