Responsibilities
- Execute on the design, implementation, and delivery of analytics products and services
- Build predictive models, tools, and data visualizations
- Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
- Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
- Assist on research development projects and data science project plans for clients and internal initiatives
- Strive to support team excellence by documenting processes and evangelizing new approaches
- Work as part of a team to deliver accurate products on short deadlines
Requirements
- 2+ years working in a quantitative production environment or a postgraduate degree in a quantitative field
- Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others
- A strong understanding of a statistical programming language such as R or Python
- Expertise building predictive models using regression and machine learning techniques
- Ability to manipulate data with SQL
- Proven experience creating analytics output within a production-oriented team
- Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally
- Knowledge of experimental design and causal inference
- Experience creating and delivering informative and engaging data visualizations using industry leading tools
Benefits
- Premier health insurance plan
- 401K matching
- Unlimited vacation
- Paid sick, personal, and volunteer leave
- 15 weeks paid parental leave
- Professional development & learning stipend
- Bring Your Own Device (BYOD) stipend
- Employee Assistance Program (EAP)
- Flexible working hours
- Telecommuting options
- Pre-tax transportation options
Additional Information
- The salary for this position is $85,000 annually.
- While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S.
