Senior Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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

• Implement advanced statistical and mathematical models and segmentations.
• Provide analytical consulting on best practices and approaches.
• Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data.
• Work closely with clients and client teams to develop methodology and implement analysis and technology that enables more profitable product, pricing and promotion decisions in support of partner customer strategies.
• Take analytical objectives and define data requirements. Extract, clean, and transform customer and item-level data for purposes of analysis, modeling/optimization/measurement and reporting.
• Develop comprehensive testing and measurement programs that quantify and optimize models developed going forward with each successive execution.
• Accountable to develop best practices/key learning, case studies and team standards and to communicate these to broader consulting & analytical services team to develop broader knowledge and improve overall client deliverables.

We’re looking for people who have

• MS degree in statistics, economics, operational research or related degree
•  2-4 years of experience building a wide breadth of statistical/mathematical models that were implemented successfully.
• Solid Python skills along with enterprise level SQL. 
• Strong communication skills with the ability to present complex data ideas to a non-technical audience/business. 
• Build and utilize advanced statistical and segmentations models that support and drive improved business decision-making for our clients.
• Strong in statistical techniques and the willingness to learn and champion methodologies for customer and retail merchandising analysis.
• Experience in retail and/or CPG is strongly preferred.