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Nexus Cognitive

Operations Research, Data Platform Engineer

Nexus Cognitive

Operations Research Analyst/Data Platform Engineer applying analytics for NexusOne's data platform optimization. Collaborating with internal teams to enhance data orchestration and governance across client solutions.

Posted 7/2/2026full-timeAtlanta • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact
  • Formulate and apply mathematical and statistical models to evaluate the performance of NexusOne's cross-estate data orchestration layer, identifying optimization opportunities across identity management, governance enforcement, and data pipeline execution.
  • Define data requirements, gather and validate quantitative information from NexusOne's operational environment, and apply statistical methods to assess platform performance, pipeline throughput, and governance policy compliance across client deployments.
  • Present the results of mathematical modeling and data analysis to client stakeholders and delivery leadership, translating quantitative findings into platform configuration recommendations and operational decisions.
  • Collaborate with engineering and client delivery teams to identify and solve complex data operational problems — including legacy system modernization, AI pipeline readiness, and cross-estate governance gaps — using NexusOne as the enabling platform.
  • Prepare technical and management reports evaluating data operational problems, analyzing solution alternatives, and recommending NexusOne configurations that meet client performance, compliance, and AI readiness requirements.

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, Business Analytics, or a related field that develops analytical, logical, reasoning, and problem-solving skills.
  • Experience in the information technology industry applying quantitative and analytical methods to operational or data platform challenges.
  • Working knowledge of statistical analysis and mathematical modeling techniques as applied to data systems and platform performance evaluation.
  • Ability to translate quantitative findings into clear recommendations for both technical and non-technical stakeholders.

Benefits

Comp & perks
  • A collaborative team culture built on curiosity and respect
  • Challenging work where your contributions clearly matter
  • A leadership team that invests in learning and development
  • The opportunity to work at the intersection of cloud, data, and AI innovation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Data Requirements DefinitionQuantitative Information ValidationPerformance OptimizationGovernance Policy ComplianceData Pipeline ExecutionOperational Problem SolvingAI Pipeline ReadinessLegacy System ModernizationData Analysis TechniquesAnalytical Problem-Solving
Soft Skills
CollaborationClear CommunicationProblem-Solving