Data Scientist

Company:
Location: Toronto, ON

*** Mention DataYoshi when applying ***

Job Description


Nielsen Precima is a global strategy and analytics company that provides tailored, data-driven solutions that drive sales, boost profitability, and build customer loyalty. Leveraging our deep analytics expertise, Precima helps organizations improve their competitive position across all facets of planning and operations from assortment optimization, price optimization, promotional optimization, targeted marketing, and supplier collaboration.

As a Data Scientist on the Merch Analytical team, you will be part of a dedicated team of data scientists responsible for accessing, analyzing and interpreting customer transactional data on behalf of Precima clients to drive insights using statistical techniques in support of business objectives such as promo, price, assortment execution and improvement, and ad hoc strategic and tactical client issues.

What you'll do

  • Implement, score, and maintain advanced statistical and mathematical models and customer segmentations.
  • Produce accurate statistical analysis and ensure high quality of the data analysis produced
  • Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations based off customer-centric data
  • Take analytical objectives and define data requirements. Extract, clean, and transform customer and item-level data for purposes of analysis, modeling/segmentation and reporting
  • Hands-on data extraction and reporting off customer database


We're looking for people who have

  • Master’s Degree Math/Statistics, Computer Science, Economics, Industrial Engineering
  • Minimum of 1-2 years of directly related work or intern experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives through a structured analysis - leading to insights and recommendations.
  • Highly proficient in SQL and Python
  • Experience in retail and/or CPG is strongly preferred.
  • Strong in statistical techniques and the willingness to learn and champion methodologies for customer analysis
  • Ability to translate business objectives into analytical plan/framework, conducting the analysis and interpreting data to derive insights and interpret results to develop and communicate recommendations to internal teams - and then to clients.
  • Ability to translate statistical and analytical results into clear written and verbal communication to internal/external stakeholders
  • Excellent ability to be part of multiple projects/initiatives of varying size and complexity, while simultaneously meeting and exceeding deadlines in a diverse environment
  • Strong team player and ability to work in a collaborative environment
  • Strong interpersonal skills including written and oral communication

Additional Information


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.

*** Mention DataYoshi when applying ***

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