Lead Data Scientist, Category Analytics & Systems

Confidential Company  •  Columbus, OH and 3 other locations

5 - 7 years experience  •  Food & Beverages

Salary depends on experience
Posted on 06/29/18
Confidential Company
Columbus, OH
5 - 7 years experience
Food & Beverages
Salary depends on experience
Posted on 06/29/18

POSITION SUMMARY

The Lead Data Scientist will deliver and/or facilitate the delivery of high-quality customer-facing advanced analytics projects, create proprietary analysis techniques for use in a category leadership / retail setting, and identify opportunities to scale these capabilities across multiple accounts & categories. As an embedded data scientist within Category Leadership, you will define/own the relationship with Smucker’s Centralized Data Science hub and leverage its resources as needed.

KEY RESPONSIBILITIES

Projects/Process:

  • Create a best-in-class method for identifying, executing, and delivering data science capabilities / ‘big ideas’ to Category customers – including continuous improvement & maintenance
  • Identify, scope, & lead advanced analytics projects asrequiredby customer relationships
    • For larger projects, own the development/assignment of project roles to ensure successful & timely delivery
  • Prioritize work according to importance of customer relationship and relative size-of-prize.
  • Deliver engaging onsite presentations to customers and actively participate in analytics-related components of customer Innovation Center visits

Tools & Techniques:

  • Leveraging data mining, statistics, and machine learning, develop best-in-class analysis techniques & data visualizations that answer strategic customer / category questions
  • Productize high-demand techniques to deliver efficiencies and scale across the Category Leadership organization
  • Research & evaluate industry best practices / data science innovations; continuously improve by integrating learnings into projects whenever possible

People/Management:

  • Manage data-science focused interns / analysts as needed
  • Maintain relationships with top university analytics programs to build a future talent pipeline
  • Support MDO analytics initiatives by providing expertise & thought leadership

SELECTION CRITERIA

Education

  •  Bachelor’s Degree is required (Statistics/ Analytics/Mathematicspreferred)
  • Master’s Degree preferred (MBA or Applied Mathematics/Analytics)

Experience

  • A minimum of 5 years of experience in a quantitative analysis type role is required (internal candidates with 3 or more years of this type of experience will be considered)
  • 1 or more years of relevant Consumer Package Goods industry experience is preferred

Other

  • Use of advanced predictive analytics tools (SAS, R, SQL, or Python) is a must
  • Use of data science techniques (statistical analysis, clustering/segmentation, and time series forecasting and optimization) is required
  • Machine learning experience is preferred
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner is required
  • Ability to solve analytical problems using complex quantitative approaches is a must
  • Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources is a must
  • Self-motivated and ability to handle multiple/diverse tasks
  • Ability to build relationships across the Company

102006

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