Manager, Data Science Research & Support

The Manager of Data Science Research and Solution Support will provide advanced technical thought leadership, and research long-tail solutions that require advanced technical skill sets. In this capacity the professional will be pulling from the latest in modeling techniques, statistics, and have a strong ability in NLP, Deep Learning Techniques and Python based programming. Using these skill sets the professional will perform exploratory research, continue to research and enhance existing solutions, transfer their knowledge and expertise to fellow professional team members by educating them on the latest techniques and through collaborative projects. The thought leader will lead next-gen research for scalable state of art models that drive industry transformation through the engagement and position NielsenIQ as the forefront of technical data science.

Responsibilities:

• Thought lead on innovative approaches to unique business challenges that require long-tail solutions.
• Perform Exploratory Research on potential solution deliveries that could have significant impact to clients macro and micro strategic initiatives.
• Educate and expand the teams knowledge in latest techniques in market for data science – share that knowledge through collaboration and active seminars w/team.
• Utilize highly advanced technical skill sets in NLP, Deep Learning Techniques and Python Based Programming to enhance existing solutions that were identified as, “Opportunities” for next-gen improvements.
• Offer support to peer team members as subject matter expert in data science to provide thought guidance on potential challenges peer leaders may encounter on projects w/solutions they are delivering.
• Drive milestone solutions that are proactive in nature on long-tail that can impact client strategies and bottom-line towards 5-10 year market macro, and micro.
• Research and Evaluate current solutions, and potential future solutions based on clients current market impacts from competitors, economy, consumers, etc.
• Be of growth and challenge mindset – challenge status quo w/better approaches, and be in continuous growth of learning newest techniques to apply.

Qualifications:  

• Effective people management experience including developing team and individual growth plans, coaching/mentoring, and aligning business goals to team objectives
• Proven servant leadership style, and diplomatic communicator
• Master’s degree or greater in Statistics, Operations Research, Mathematics, Economics, Econometrics, Industrial Engineering, Computer Science
• Minimum of 5 years of directly related work experience in marketing analytics, and at least 3 years proven leading a team of data science or analytic professionals
• Proficiency in working with statistical and econometric models in marketing to support clients in B2B, Retail and CPG areas.
• Coding experience in SQL, Python, R Preferred
• Strong Business Acumen & Experience Synthesizing complex analytic work to a business solution result

All your information will be kept confidential according to EEO guidelines.

About NielsenIQ 

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.