Financial Data Scientist at Cardinal Technology System, Corp in Washington, DC

Job description

• 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

Responsibilities

• 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.
• Evaluates new technologies like Oracle Golden Gate for COOP environment re-architecture.
• Must be willing and able to travel to the client site in Washington, DC approximately 25% annually.

Requirements

• 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)
• 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)
• Must currently have or be willing to obtain one of the following certifications: Oracle Cloud Infrastructure (OCI) Foundations 2020 Certified Associate, Oracle Certified Associate (OCA), Oracle WebLogic Server 12c Administrator, Oracle Java SE 8 Programmer I, Oracle Enterprise Manager 12c Essentials (OEM 12c), Oracle Business Intelligence Publisher (BIP) 12c R1: Fundamentals, Oracle Planning 202x Certified Implementation Specialist (CIS), and Oracle Identity Governance 12c: Essentials.
• Must have a master’s degree in Computer Science, Statistics, Applied Math, or a related field.
• Must have 5+ years of relevant and practical experience with SAS, data processing, data analytics, modeling/formulation, and financial data analysis.
• Must have experience using Python for data analysis, modeling, data validation, automation, or reporting.
• Must have deep experience with data mining and statistical analysis.
• Experience supporting Oracle Financial shared service providers on an Oracle EBS R12.2 platform or higher.
• Experience with Oracle EBS financial process areas, including USSGL, Budget to Report (B2R), Procure to Pay (P2P), Order to Cash (O2C), and Acquire to Retire (A2R).

Skills

Required

• SAS
• Python
• Data processing
• Data analytics
• Modeling/formulation
• Financial data analysis
• Data mining
• Statistical analysis
• Oracle EBS R12.2

Benefits

• • Medical, Dental, Vision Benefits
• • Paid Life
• • Paid Vacation, Holidays, Sick Leave, Floating Holidays, Bereavement Leave
• • Semi-monthly pay cycle