Financial Data Scientist

Cardinal Technology Systems, Corp.•Washington, DC

2d•Onsite

About The Position

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. This role provides expert support to run analysis and analytical experiments using both structured and unstructured data. The Financial Data Scientist evaluates alternate models via theoretical approaches and supports financial data modeling, formulation, and analytical model development to improve business and operational decision-making. They will use Python and other analytical tools to support data analysis, modeling, data validation, and reporting activities. The role involves identifying and exploiting data assets, creating new patterns and business value, and creating analyses and models to improve customer and operational Key Process Indicators (KPIs). The Financial Data Scientist will enhance measurable value for the Agency and its customers by building predictive models and developing advanced algorithms that extract and classify information from large datasets. They will analyze data and develop robust statistical and predictive algorithms/models that drive product outputs, identify meaningful patterns and trends, and expose new business opportunities. The role requires translating results into understandable and actionable output that answers real business questions. The position involves working 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. The Financial Data Scientist will support Oracle E-Business Suite (EBS) financial process areas, including USSGL, B2R, P2P, O2C, and A2R. Additionally, the role includes developing data conversion templates, pre/post conversion checklist/steps, data conversion design documents, data conversion status reports, and data conversion migration plans. The position also provides expertise in COOP development and implementation, including disaster recovery planning, testing, support, recovery restoration, and system reconstitution. The Financial Data Scientist will analyze financial and ERP data sets, collaborate with hosting provider’s teams, including Systems Engineers, Network Engineers, and Continuity/Disaster Recovery Teams, and execute COOP exercises such as tabletop, simulation/remote recovery, and full failover exercises. The role involves maintaining and enhancing the DAI Information System Contingency Plan (ISCP) and analyzing and upgrading COOP design to align with software upgrades and technical changes. The Financial Data Scientist will also evaluate new technologies like Oracle Golden Gate for COOP environment re-architecture. Travel to the client site in Washington, DC approximately 25% annually is required.

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)
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).

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.