Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming
What you’ll do
Implement advanced statistical and econometric models of pricing, assortment or marketing. 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. Be an internal expert in advanced capabilities.
Work closely with Advisor- Data Science to develop methodology and implement analysis and technology that enables more efficient pricing, assortment and marketing/promotion decisions in support of product roadmaps.
Take analytical objectives and define data requirements. Extract, clean, and transform customer and item-level data for purposes of analysis, modeling/segmentation and reporting.
Identify, develop and make recommendations for process improvements and best practices; own implementation of recommendations required
We’re looking for people who have
Minimum Master Degree, Ph.D. preferred in Statistics, Operations Research, Mathematics, Economics, Econometrics, Industrial Engineering, and Computer Science
Strong experience with Python and R
Desirable SQL, SaaS, C++ /C# knowledge
Desirable Retail or CPG Industry experience
Demonstrated curiosity, initiative and passion for the application of statistical sciences to address business challenges and learning new statistical/analytical methods
Team player with high energy and demonstrated initiative
Ability to translate analytical results into clear written and verbal communication to internal/external stakeholders
We offer:
Salary: EUR 3000 - 3600 gross/monthly
Health Insurance
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