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Financial Data Scientist

Remote / Online - Candidates ideally in
Washington, District of Columbia, 20022, USA
Listing for: Cardinal Technology Systems, Corp.
Remote/Work from Home position
Listed on 2026-10-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below
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.
  • 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)
  • 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 Web Logic 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…
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