At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future. Job title: Senior Data Scientist - Optimization Expertise Job Purpose: Conduct research and development on mathematical algorithmic estimation tools for causal inference models. Using the results from predictive causal inference models, develop accurate simulation models and optimization algorithms that broadly and deeply inform clients the future budgeting outlays and planning decisions.
Key Responsibilities:
Develop, implement, and test mathematical modeling and optimization algorithms to answer complex business questions.
Create various prototypes for research and development purposes.
Design, write and test modules for Nielsen analytics platforms using Python, SQL, Spark, C#, and AWS products.
Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy, StatsModels.
Utilize optimization solvers including CVXOPT, Gurobi and NAG.
Partner with the Nielsen Technology department to build best-of-class cloud-based analytical solutions.
Document methodology.
Qualifications
PhD level mathematical optimization coursework, knowledge of optimization theory. Ability to interpret academic research papers and apply methodologies.
5+ years’ post graduate experience in delivering optimization solutions.
Expertise in Python and C#.
Expertise in using CVXOPT, Gurobi and Numerical Algorithm Groups solvers.
