Principal Data Scientist, AI & Automation

Natixis Investment Managers•Boston, MA

68d•$155,000 - $211,000•Hybrid

About The Position

Natixis Investment Managers is a global asset management firm powered by more than 15 specialized investment managers. The Distribution Enablement Group (DEG) works to drive business growth and improve efficiency by extracting insights from data and streamlining the use of data and technology. DEG partners with Sales, Marketing, and other business teams to simplify and automate workflows, develop actionable analytics, generate leads, and more. As a Principal Data Scientist within DEG, you will provide technical and strategic leadership, addressing business goals through data, analytics, automation, and AI. You will collaborate with business partners and IT to design and deliver solutions that support distribution strategy and execution. In partnership with international colleagues, you will help shape technical architecture, standards, and best practices. You will contribute hands-on while mentoring colleagues and supporting the team’s growth and impact. The position is based in the Boston office and follows a hybrid work model. Team members currently work in the office at least three days per week, with an anticipated transition to four in-office days per week beginning in 2027.

Requirements

At least 7 years of experience in data science, analytics engineering, or a related role; experience in financial services or another highly regulated industry is preferred.
A track record of setting technical direction or leading initiatives that shaped how a team or business uses data, analytics, automation, or AI.
Strong proficiency in Python and SQL, with software engineering fundamentals including Git, testing, and CI/CD.
Demonstrated experience applying AI to automation pipelines, with attention to reliability, guardrails, evaluation, and responsible use.
Demonstrated experience implementing machine learning solutions, including model development, deployment, and ongoing monitoring in production environments.
Experience leveraging cloud platforms or remote compute environments for data processing and analytics workloads.
Excellent written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
Ability to manage multiple priorities, meet deadlines, and adapt in fast-changing environments.
Strong time management, attention to detail, and a resourceful, problem-solving mindset.

Nice To Haves

Experience mentoring or coaching other team members.
Experience using dbt for data modeling, data tests, and semantic layers.
Experience with workflow orchestration tools such as Airflow.
Familiarity with the Microsoft ecosystem, including Microsoft Foundry and Azure AI Search for AI and agent development, Power BI for reporting, and Power Automate for workflow automation.
Familiarity with the AWS ecosystem, including Redshift, S3, EC2, Lambda, and CloudWatch.
Experience with enterprise data science platforms such as Dataiku or similar tools.
Experience integrating and consuming data via REST APIs.

Responsibilities

Help shape DEG’s strategy and roadmap across data, analytics, automation, and AI; evaluate emerging tools and standards and recommend what to adopt, build, or retire.
Partner with Sales, Marketing, Finance, and other business teams to understand requirements and translate business goals into scalable data solutions and automated workflows.
Build trust and safety into solutions, including responsible AI use, data quality, evaluation, auditability, and compliance.
Partner with IT to deliver business objectives, including deployments and change management, data collection and integration, front-end user experience, and back-end infrastructure.
Design, build, and deploy AI-powered and agentic workflows, including multi-agent systems, to automate and augment business processes with appropriate orchestration, guardrails, and human oversight.
Develop, deploy, and maintain data and analytics pipelines supporting business objectives, analytical processes, and interactive dashboards.
Monitor, troubleshoot, and optimize analytical and data processes to ensure reliability, performance, and availability.
Contribute to technical architecture, documentation, and governance related to data, automation, and AI.
Mentor or support skill development across the team.

Benefits

Comprehensive medical insurance
Dental insurance
Vision insurance
Paid time off
401(k) plan
Tuition reimbursement
Student loan repayment program
Wellness benefits
Volunteer programs
Potential discretionary bonuses and other sponsored benefit programs, depending on the position