Experience required
- PhD: 15+ years
About the role
what you've got?
Using your quantitative analysis and modeling skills you’ll explore and exploit data sources through the use and creation of scientific processes and technologies to uncover and communicate business insights. Apply advanced consulting skills and extensive technical expertise; full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction; mentors and may supervise team members. You’ll provide detail-oriented and organized analytics and models using excellent verbal and written communication skills.
- Experience with developing requirements and building statistical or simulation models
- Experience with scripting or scientific languages and software, including Python, R, MATLAB, @RISK, ARENA, or SAS
- Experience with Free Open-Source Software and Commercial Off-The Self Software products in statistics, Monte Carlo or discrete event simulation, extract, transform, and load Extract, Transform, Load processes, and quantitative workflow automation
- Experience with working in Windows and Linux OS environments
- Consultation experience with non-technical audiences on technical problems, work in a highly collaborative, team-oriented environment, and balance long- and short-term tasking
- Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined
- Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment to compose client deliverable quality
Qualifications
- A degree in Mathematics, Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is preferred.
- AA + 5-17 years’ experience or;
- BS + 3-15 years’ experience or;
- MS + 3-15 years’ experience or;
- PhD + 3-15 years’ experience