Financial Data Scientist
A financial data scientist who builds predictive/statistical models and analyzes structured and unstructured financial and ERP data using Python, SAS, and Oracle EBS tools, plus supports data conversion and COOP/disaster-recovery planning for a government agency client. Requires clearance eligibility and ~25% annual travel to Washington, DC.
- Compensation
- Not disclosed
- Location
- Washington, United States
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Internship
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- Eligibility to obtain a U.S. Government SECRET / TOP SECRET Clearance (U.S. Citizenship, clear criminal history check, no recent or pending bankruptcies)
- Currently hold or be willing to obtain one of the listed Oracle certifications (OCI Foundations, OCA, WebLogic 12c Admin, Java SE 8 Programmer I, OEM 12c, BIP 12c R1, Oracle Planning CIS, or Identity
- Master's degree in Computer Science, Statistics, Applied Math, or a related field
- 5+ years of relevant experience with SAS, data processing, data analytics, modeling/formulation, and financial data analysis
- Experience using Python for data analysis, modeling, data validation, automation, or reporting
- Deep experience with data mining and statistical analysis
- Experience supporting Oracle Financial shared service providers on Oracle EBS R12.2 or higher
- Experience with Oracle EBS financial process areas (USSGL, B2R, P2P, O2C, A2R)
- Willing and able to travel to the client site in Washington, DC approximately 25% annually
Full description
Responsibilities
Cardinal Technology Systems Corp. is a government IT solutions provider servicing commercial and government initiative in various parts of the United States. We are currently seeking a Financial Data Scientist to work for our company.
Summary
- Eligibility to obtain a U.S. Government SECRET / TOP SECRET Clearance. (Basic Federal Clearance requirements are U.S. Citizenship, clear criminal history check, no recent or pending bankruptcies)
- Provides expert support to run analysis and analytical experiments using both structured and unstructured data.
- Evaluates alternate models via theoretical approaches.
- Supports financial data modeling, formulation, and analytical model development to improve business and operational decision-making.
- Uses Python and other analytical tools to support data analysis, modeling, data validation, and reporting activities.
- Identifies and exploits data assets, creating new patterns and business value.
- Creates analyses and models to improve customer and operational Key Process Indicators (KPIs).
- Enhances measurable value for the Agency and its customers.
- Builds predictive models and develops advanced algorithms that extract and classify information from large datasets.
- Analyzes data and develops robust statistical and predictive algorithms/models that drive product outputs.
- Identifies meaningful patterns and trends, exposing new business opportunities.
- Translates results into understandable and actionable output that answers real business questions.
- Works with modules and process areas such as Acquire to Retire (A2R), Cost Accounting (CA), User Management (UMX), Time & Labor (T&L), Procure to Pay (P2P), Order to Cash (O2C), Budget to Report (B2R), and Custom Application Development (CAD) Support Services.
- Supports Oracle E-Business Suite (EBS) financial process areas, including USSGL, B2R, P2P, O2C, and A2R.
- Develops data conversion templates, pre/post conversion checklist/steps, data conversion design documents, data conversion status reports, and data conversion migration plans.
- Provides expertise in COOP development and implementation, including disaster recovery planning, testing, support, recovery restoration, and system reconstitution.
- Analyzes financial and ERP data sets.
- Collaborates with hosting provider’s teams, including Systems Engineers, Network Engineers, and Continuity/Disaster Recovery Teams.
- Executes COOP exercises such as tabletop, simulation/remote recovery, and full failover exercises.
- Maintains and enhances the DAI Information System Contingency Plan (ISCP).
- Analyzes and upgrades COOP design to align with software upgrades and technical changes.