Job Title: Statistical Learning and Scientific Computing Engineer
If you are an enthusiastic individual who likes to work on a range of cutting edge problems, in a unique field that brings together human cognition, consumer behavior, statistical modeling, optimization algorithms, and software development, Nielsen Innovation is looking for a Statistical Learning and Scientific Computing Engineer to join our Data Science team in Waltham MA.
- You will be part of a highly focused group of talented and creative engineers and scientists, working on cutting edge methodologies for analyzing consumer data.
- Our work spans the entire human-in-the-loop interactive search and optimization process, from participant task/user experience, through real-time computation of core optimization algorithms, post-hoc data modeling, analysis and reporting.
- We focus on researching and developing new capabilities to meet the expanding scope of our business, as well as improving the performance and scalability of our current optimization and measurement platform.
POSITION DESCRIPTION
You will be responsible for the design and implementation of scalable, production-level analytical software solutions. These range from simple ones, such as regression models and clustering and classification algorithms, to complex systems that integrate a number of procedures in a tool chain optimized to run in real-time. Specific responsibilities include:
- Developing technical requirements and architecture for data processing, statistical modeling and analysis applications, in coordination with the Product Management and Application Development teams
- Designing, implementing, optimizing and validating analytical applications
- Prototyping, implementation and validation of new algorithms, using simulation-based models
- Optimizing the computational efficiency and scalability of various statistical models (MCMC GLMs, clustering algorithms, etc.)
- Improving and maintaining coding standards, and version control and deployment practices for the analytics codebase
- Keeping up with the state-of-the art in relevant areas – software packages, computational frameworks and application development and testing methodologies