Data Scientist - R&D (all levels)
The Data Science Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power our company’s mission. We work on projects like predicting national-level consumer behavior, creating novel visualizations for interactive clustering of survey respondents, large-scale constrained resource allocations, and building generalizable predictive analytics software. Our applied data scientists then use this work for diverse projects ranging from finding America’s uninsured citizens to optimizing millions of dollars of media spending. As a data scientist on our Chicago-based Research and Development team, you will collaborate on modeling strategy, research design, and software engineering with data scientists on the cutting edge of the field.
We’re looking for data scientists to work on challenges in fields such as machine learning, applied statistics and natural language processing. Whether you’re still in the early stages of your career and looking for new professional growth opportunities, or you’re looking to apply your considerable expertise in a given subject domain, you can make a significant contribution to our product and consulting offerings. The Research and Development team at Civis is home to data scientists who come from diverse walks of life, from statistics PhDs to former web developers and political polling experts.
No matter where you come from, we look for exceptionally talented individuals who are passionate about solving the world’s toughest problems with data. We value creativity, an ability to thrive in a fast-paced environment, on-the-job excellence and offer competitive compensation and benefits packages.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
- Bachelor’s degree in statistics, computer science, economics, physics or other quantitative field
- Experience working in applied statistics, machine learning, or scientific analysis
- Experience solving problems with code
- Proficiency with Python or R
- Master’s or Ph.D. degree in statistics, computer science, or other quantitative field
- 2+ years professional or academic data science, statistics, or machine learning experience
- Experience with software engineering best practices