Thursday, September 12, 2013

Data Scientist


Duties and Responsibilities:




  • Work closely with Business Units, Product Development, and Product Management teams to identify and answer important business and product questions. Communicate insights to executive leadership




  • Formulate profit maximizing ecommerce strategies for various product categories across differing functional business units




  • Apply rigorous analytical methods and analyze levers that can drive growth and profitability across our product and services offerings and customer segments worldwide




  • Research, evaluate, implement, and present statistical methods to provide actionable insights




  • Define new metrics and help drive business/engineering team using the right metrics




  • Research new ways for modeling and predicting user behavior




  • Influence Staples go to market strategy, by category, by business unit, and customer segment (where applicable), worldwide




  • Research, design and implement data models and cutting edge algorithms to analyze diverse sources of data




  • Work with high dimensional and fast moving data to build continually learning systems and through your work have direct impact on revenue and bottom line




Qualifications:




  • Bachelors Degree in quantitative field such as statistics, operations research, psychology, economics or computer science.




  • Strong understanding of statistical principles and data analysis.




  • Moderate to advanced programming ability in at least one of the following languages: Java, Python or R; ability to develop proficiency in all three languages.




  • Ability to work with and query relational databases using SQL.




  • Ability to work independently and to collaborate with internal and external partners.




  • Ability to translate technical findings to a non-technical audience and present project information to senior leadership and policy makers.




  • Good organizational skills, time management, attention to detail and high standards of quality are essential.








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