HD Supply
June 8, 2018
Job Type
How to Apply
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Job Summary

Responsible for modeling complex enterprise problems, discovering enterprise insights and identifying opportunities through the use of statistical, algorithmic, data mining and visualization techniques. Integrate and prepare large, varied datasets. Architect custom data environments and communicate validation of results.

Major Tasks, Responsibilities and Key Accountabilities

•Leads discovery processes with key stakeholders to identify business requirements and expected outcomes.

•Makes strategic recommendations on data collection, integration and retention, incorporating business requirements and knowledge of best practices.

•Develops innovative and effective approaches to solve client analytics problems and communicates results and methodologies.

•Utilizes and forecasts patterns and variations in predictive analyses of the volume, speed and other characteristics of data supporting initiatives (e.g., images, text, clickstream, metering data).

•Collaborates with subject matter experts as to the relevant sources of information and makes recommendations on data collection, integration and retention requirements.

•Recommends new and improved methods to improve data and search quality, and predictive capabilities.

•Integrates and prepares large, varied datasets, architecting specialized database and computing environments, and communicates results.

•Models and frames business scenarios that support critical business processes and/or decisions.

Nature and Scope

•Identifies key barriers/core problems and applies problem solving skills in order to deal creatively with complex situations. Troubleshoots and resolves complex problems. Makes decisions under conditions of uncertainty, sometimes with incomplete information, that produce effective end results.

•Independently performs assignments with instruction limited to results expected. Determines and develops approach to solutions. Receives technical guidance only on unusual or complex problems or issues.

•May oversee the completion of projects and assignments, including planning, assigning, monitoring and reviewing progress and accuracy of work, evaluating results, etc. Contributes to employees professional development but does not have hiring or firing authority.

Work Environment

•Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about.

•Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

•Typically requires overnight travel less than 10% of the time.

Education and Experience

•Typically requires BS/BA in related discipline. Generally 5-8 years of experience in related field; certification is required in some areas OR MS/MA and generally 3-5 years of experience in related field. Certification is required in some areas.

Preferred Qualifications & Job Specific Details

Preferred Qualifications

•3-5 years of experience in the field of marketing related applied Data Science.

•5+ years of relevant quantitative and analytics experience or equivalent educational experience.

•Bachelor’s degree in mathematics, statistics or computer science related field preferred.

•Demonstrated programming skills in SQL environments (Microsoft SQL Server preferred).

•Demonstrated experience with statistical modeling and related software (R and Python preferred).

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