Operations Research / Data Platform Engineer

You don't have an AI story if you don't have your data story. That's where NexusOne comes in.

We're the converged data platform for the AI era — composable by design, built on an open-source foundation, and AI-native from the ground up. One identity, one governance envelope, one operational layer across every mainframe, data lake, warehouse, and streaming system in the business. For the first time, enterprises can bring their existing stack along instead of rebuilding it — and still give AI agents full context across the estate.

What we stand for is simple: sovereign data, interoperable systems, decoupled intelligence — delivered the way modern software should be. No rip-and-replace. No multi-year transformation. Our CEO Anu Jain puts it well: we turn the "ball of yarn" of data integrations into a unified engine — less like assembling car parts, more like buying the car ready to drive. 85+ open-source tools pre-integrated. AI-native automations that deploy and self-heal the stack without human toil. Forward-deployed engineers who build shoulder-to-shoulder with customer teams — hands on keyboards, not just on decks.

It's working, and fast. We're tripling revenue year over year, backed by Insight Partners, and running in production in environments most vendors won't touch. Our platform processes credit risk data for 90%+ of US small businesses — 40M+ — every month. Intent signals for 300M+ subscribers monthly for Africa's largest telco. The data and AI layer for a Top 3 US bank.

We're 100+ people across the US and India, headquartered in Atlanta. We think big, move fast, and don't mistake activity for progress. We hire people who'd rather ship the rocket than brief someone on it.

Check out this podcast of Anu talking about our solution here: https://www.youtube.com/watch?v=g8g50sv5GhQ

The Operations Research Analyst/Data Platform Engineer applies mathematical modeling, statistical analysis, and systems optimization techniques to support the development, deployment, and operational performance of the NexusOne (NX1) data platform and its client delivery engagements. NexusOne is a universal data control plane that orchestrates an organization's entire data estate — spanning legacy on-premises systems, cloud warehouses, and hybrid environments — through a unified identity model, governance envelope, and operational layer.

• 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.

• 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.

• 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.

At Nexus, we value people who want to grow — and support each other while doing so.

You can expect:

• 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

If this role sounds like a great fit — or even close to one — we’d love to hear from you. We know that no candidate checks every single box, and we’re excited to meet people who bring curiosity, talent, and a desire to build meaningful work together.