Principal Data Scientist at Natixis Investment Managers
Boston, MA
$155,000–$211,000from the description
Aug 16, 2026
Boston, MA
Sep 24, 2026
What this job asks for AI summary
A hands-on senior data scientist role within an asset management firm's Distribution Enablement Group, focused on building AI-powered and agentic workflows, machine learning models, and analytics pipelines that support sales, marketing, and finance teams. The role combines individual contribution with technical mentorship, requiring close collaboration with both business stakeholders and IT to design, deploy, and govern data and AI solutions in a regulated financial services environment.
Senior level · 7+ years · Boston, MA · Full-time
Advertised as Principal, but the requirements read as Senior.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 380 people in the Boston, MA area plausibly meet what this posting asks for (data scientists). range 280–490
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $134,944 (middle half $104,979–$169,773). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (4)
The title 'Principal Data Scientist' is used, but the scope and requirements (7+ years, team-level mentorship, no explicit org-wide technical authority) align more closely with a Senior-level role than a true Principal/Staff band.
The required 'cloud platforms or remote compute environments' is a hard gate but names no specific platform; AWS is separately listed under Preferred, so it is captured there as optional.
Multi-agent and agentic AI workflow experience is described as a core responsibility but is not explicitly listed as a named technology requirement — it is reflected in the machine learning and AI skills rather than as a standalone tool.
Dataiku is listed under the Preferred section with 'or similar tools,' indicating it is not a hard gate.
Read the full posting
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