Operations Research / Data Platform Engineer
RemoteUnited States or Atlanta, Georgia, United States
Job Summary
Formulate mathematical and statistical models to evaluate NexusOne's cross-estate data orchestration layer, identifying optimization opportunities across identity management, governance enforcement, and pipeline execution. Define data requirements, gather quantitative information from the operational environment, and apply statistical methods to assess platform performance, throughput, and policy compliance. Present modeling results to client stakeholders and delivery leadership, translating findings into configuration recommendations and operational decisions. Collaborate with engineering and client teams to solve complex data problems involving legacy modernization, AI pipeline readiness, and governance gaps using NexusOne as the enabling platform. Prepare technical reports evaluating operational issues and recommending configurations that meet client performance, compliance, and AI readiness requirements.
Required Qualifications
- 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
Desired Qualifications
- Master's degree in Business Analytics or a related discipline
- Experience transforming legacy infrastructure into scalable Spark/Airflow environments to support real-time analytical workloads
- Experience delivering data products that reduce operational latency and cost while enabling data-driven decision-making
- Familiarity with Infrastructure as Code practices supporting process optimization and automation
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