Senior Data Scientist — AI, Automation & Pipelines

Natixis Investment Managers; Massachusetts; Hybrid; USD 155,000 - 211,000; Full time

Job summary

Natixis Investment Managers invites applications for a Principal Data Scientist role in the Distribution Enablement Group, based at our Boston office with a hybrid schedule requiring 3 days in person. You will lead data-driven initiatives spanning analytics pipelines, AI-powered automation, and cross‑functional collaboration with Sales, Marketing and IT to elevate distribution strategy and outcomes.

You will mentor colleagues, shape technical standards, and ensure responsible AI usage across

Responsibilities

• Partner with Sales, Marketing, Finance and other Business teams to understand their requirements, and translate their goals into scalable data solutions & automated workflows.
• Partner with IT to deliver on Business objectives, including production code deployments, data collection & integration, front-end user experience, and back-end infrastructure.
• Design, build and deploy AI-powered and agentic workflows, including multi-agent systems, that automate and augment Business processes, with appropriate orchestration, guardrails and human oversight.
• Develop, deploy, and maintain data and analytics pipelines that support business objectives, analytic processes, and interactive dashboards
• Monitor, troubleshoot and optimize analytic and data processes to ensure reliability, performance and availability.
• Contribute to technical architecture, documentation and governance throughout the Business related to data, automation and AI.
• Support the incorporation and responsible use of AI across Business workflows and analytic use cases.
• Continually investigate new tools and techniques, as well as emerging standards.

Job description

Natixis Investment Managers invites applications for a Principal Data Scientist role in the Distribution Enablement Group, based at our Boston office with a hybrid schedule requiring 3 days in person. You will lead data-driven initiatives spanning analytics pipelines, AI-powered automation, and cross‑functional collaboration with Sales, Marketing and IT to elevate distribution strategy and outcomes.

You will mentor colleagues, shape technical standards, and ensure responsible AI usage across