Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
NielsenIQ, Retail Analytics helps retailers turn shopper insights into strategic advantage. We leverage our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision making. By using advanced modeling, artificial intelligence and cloud-based SaaS solutions, we are able to put these insights at the fingertips of our clients.
As a Sr. Data Scientist, you’ll be an integral part of the Client Consulting and Analytical Team providing thought leadership and best practice approaches to support client projects in the area of advanced statistical and mathematical modeling. The person will be accessing/extracting, analyzing and interpreting customer and POS transactional data on behalf of NielsenIQ clients to build advanced predictive models leveraging statistics and mathematics to support business objectives such as price elasticity modeling, price model measurement, marketing mix modeling, price optimization, assortment optimization and ad hoc strategic and tactical client issues.
Success in this role is key to ensuring that NIQ develops new and statistically advanced products and services to meet client needs that can also be case studies for cross-client implementation.
What you'll do
We’re looking for people who have
NielsenIQ is the industry leader in global measurement and data analytics, and the most trusted source for retail and consumer intelligence. We deliver the complete truth to retailers, manufacturers, and our partners through our comprehensive data sets and powerful insights. We enable businesses to make critical decisions confidently, accelerating growth and optimizing performance. Our 30,000 employees -- based in over 100 countries.
United States
6-8 year