Dynata is looking for a Data Scientist to support the execution of research and delivery of insights for their global clients. The role involves developing new methodologies and survey research approaches to expand their service offerings and directly interacting with internal and external client stakeholders.
Requirements
- Very strong background in statistics and statistical hypothesis testing
- Experience with both classical frequentist and modern MCMC based Bayesian approaches is strongly preferred (at least one is required!)
- Good understanding of SQL and experience accessing data sets through databases.
- Strong knowledge of Python (strongly preferred) and/or R with experience in a broad array of statistical and data science packages (Tidyverse dialect is preferred for the R language)
- Strong programming skills with an understanding of software engineering best practices and tools including GIT.
- Thorough understanding of regression and GLMs, clustering, and classification
- Nice to have: exposure/experience with supervised learning machine learning.
Responsibilities
- Serve as statistical research advisor to internal & external stakeholders supporting Dynata’s Global clients and their research needs.
- Provide execution and delivery support for data science products and research activities.
- Designing, managing, analyzing, and delivering high quality advanced analytics, including visualization of research findings, summary of findings with recommendations, and presentation to clients.
- Contribute to the development of new methodologies and approaches to survey research as well as to the continual enhancement and expansion of Dynata’s growing portfolio of data, research, and analytics products.
Other
- Strong communication and presentation skills; highly motivated, self-directed, and capable of working under minimal supervision with a high level of initiative, energy, and enthusiasm for learning
- Superior organizational skills and attention to detail
- Ability to manage multiple projects simultaneously and work with tight deadlines while maintaining a strong client service orientation
- Highly proficient with MS Word, Excel, and PowerPoint.
- bachelor's degree in relevant quantitative discipline, Master's degree a plus
