Director, Data Science

2018-07-01
Conagra Brands (http://www.conagrabrands.com/careers)
Other

/yr

  full-time   employee


Chicago
Illinois
United States

Conagra Brands has the most energized, highest-impact culture in food. Our people persistently challenge and disrupt marketplace/business conventions and we are respected for our great brands, great food, great margins and consistent results. Conagra Brands, be part of building something BIG.
The Director of Data Science will lead Data science initiatives for Conagra Brands' Insights & Analytics (I&A) team, influencing business decisions with rigorous Data analysis that drive results. The Data Science team supports Brand, Marketing, Innovation, and Research & Development and works closely with the Brand and Go-To-Market Insights teams to achieve the company?s growth objectives. It is a direct-line group within the Data Science & Insights organization, which is part of the Growth Center of Excellence. The Director will scope, prioritize and lead a variety of high-visibility projects that require advanced analytics, Data modeling or machine learning concepts and create recommendations and solutions to solve business challenges. The Director will help build and cultivate Conagra?s Data Science function, coaching a team of Data Scientists and elevating the overall skillset of the broader Analytics function.
Position Responsibilities
Ensure Data science deliverables are accurate, timely, and actionable; support internal clients such as Category Management, Pricing Strategy, Brand, Insights, et al. with the right predictive modeling, statistical techniques, machine learning algorithms or other appropriate advanced analytics solutions
Build and manage a team of Data scientists
Implement, when necessary, new analytical approaches to deliver more reliable insights and more accurate models
Create and lead a center of excellence for Data science activities, across the organization, to ensure synergy and increase value
Foster cross-functional partnerships to identify, design and develop Data-driven solutions for their unique challenges
Evangelize the principles of Data sciences throughout the business by communicating the vision and championing the team?s successes
Manage prioritization of work and ensure optimal resource alignment
Develop insights using a variety of analytical tools to maximize portfolio performance
Present analytical insights to internal clients and retail customers
Provide analytical expertise and consultation to internal stakeholders as needed
Manage on-site and external vendors to obtain necessary Data, affect the optimal experimental conditions, and, if appropriate, to complete portions of the required analytical work
Position Qualifications
Bachelor's Degree in a discipline heavily reliant on Mathematics and/or Statistics; a Master?s Degree is preferred
8+ years of demonstrated business application expertise in advanced statistical analysis and modeling
Extensive experience solving business problems and influencing key stakeholders by applying advanced analytic tools and statistical modeling skills to various retail Data sources
Proven leadership skills and management experience
Strong coding skills in python or R (or similar: scala, julia) and knowledge of functional programming
Experience with relational databases / SQL
Proven track record of delivering actionable business recommendations, influencing decisions, and impacting results
Strong priority management skills so to ensure analytical resources are leveraged and applied to the most important business issues
Hands on experience with large scale Data processing software and tools (Hadoop, Spark, MapReduce etc.) preferred
Strong oral and written communication skills, especially the ability to explain difficult concepts in simple, applicable business terms
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Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law.

 

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