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Data Scientist

Job Attributes

Job Id:

32046

Job Category:

Data Analytics & Business Intelligence

Job Location:

Mclean, VA  22102

Security Clearance:

None

Business Unit:

Piper Companies

Division:

Piper Enterprise Solutions

JOB DESCRIPTION

Piper Companies is currently looking for a Data Scientist to join our client in McLean, Va. The Data Scientist will be responsible for developing data models, both linear and logistical, through SAS/R/Python scripting to support a Credit Risk organization.


Responsibilities of the Data Scientist:

·      Collaborate with cross functional teams to identify business requirements and develop data models related to those requirements

·      Provide ongoing analysis to support new lines of business or product expansion

·      Partner with stakeholders to identify areas of opportunity to enable growth in profits

·      Participate in internal/external audits and examinations as needed


Qualifications of the Data Scientist:

·      2+ years of experience as a Data Analyst or Data Scientist

·      Extensive experience within Python, SAS, R and other related technologies

·      Strong understanding of Tableau and other business intelligence tools

·      Excellent understanding of linear and logistical modeling

·      Bachelor’s Degree or higher in Statistics, Mathematics, Financial Accounting or related field

Compensation of the Data Scientist:

·      Up to $100,000 annually (based off experience)

·      Medical, Dental, and Vision benefits offered

·      Paid time off, holidays, and 401k offered



Keywords:

Data scientist, data analysis, data science, data analyst, data modeling, data models, linear, logistical, SAS, Python, R, Tableau, audit, auditing, credit risk, finance, statistics, mathematics, information technology, data analytics, risk, risk analytics, banking, credit risk.

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Job Id:

32046

Job Category:

Data Analytics & Business Intelligence

Job Location:

Mclean, VA  22102

Security Clearance:

None

Business Unit:

Piper Companies

Division:

Piper Enterprise Solutions