Data Scientist/ Quantitative Analytics
Pyramid Consulting Inc.
McLean, United States of America
2 days ago
Role details
Contract type
Temporary to permanent Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 187KJob location
McLean, United States of America
Tech stack
Big Data
Computer Programming
Relational Databases
R
Python
SAS (Software)
Data Analytics
Requirements
Key Requirements and Technology Experience:
- Must have skills: - Quantitative, Data Analytics, Developing models, Python
- Doctorate degree plus 3 years of working experience (or Master's degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field.
- 5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.
- Post-graduate work experience in mortgage valuation and statistical modeling
- Programming skills in one or more of Python, R, SAS or related languages
- Exceptional quantitative, empirical analysis, and research skills
- Experience working with large data sets and relational database
- Experience in statistical model development and implementation is preferred
Benefits & conditions
Pay Range: $80 - $90 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
About the company
Our client is a leading Financial industry , and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
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