Principal Data Scientist

Global Asset Management Firm seeking a Principal Data Scientist.

Location Requirements

Hybrid position based in Boston, MA. Employees are required to be in the office a minimum of 3 days per week; there are no fixed in-office days, but employees are asked to make a best effort to be in the office for important business meetings.

Compensation

$160K-$170K annual base salary plus bonus

• Paid time off
• 401k plan
• Wellness benefits
• Benefits eligibility is for permanent employees; interns, contractors, and temporary workers are not eligible for benefits
• Puts the best interests of clients, employees, communities, and environment first in everything it does
• Fosters a culture of collaboration, diversity, and inclusion that supports employee growth
• Believes this creates equal opportunities for employees, and better outcomes for clients and communities

Job Description

The Distribution Enablement Group (DEG) is an expanding team within the organization. The group encompasses Distribution Execution Consulting & Strategy, Distribution Platform Enablement, Data Science & AI, and Data & AI Governance. The group's core mission is to drive business growth and improve efficiency by extracting insights from data and streamlining the use of data and technology, partnering closely with Sales, Marketing and other Business teams to simplify and automate workflows, develop actionable analytic reports, generate leads, and more. As a Principal Data Scientist within the Distribution Enablement Group, you will be a technical and strategic leader who addresses business goals through data, automation, and AI. You will collaborate closely with Business partners and IT to design and deliver solutions that support distribution strategy and execution. From building and maintaining analytic and data pipelines to powering initiatives such as client lead scoring for Sales, your work will help simplify and evolve workflows across Business teams. Partnering with international colleagues, you will help shape technical architecture, standards, and best practices.

Responsibilities

• Partner with Sales, Marketing, Finance and other Business teams to understand their requirements, and translate their goals into scalable data solutions and automated workflows
• Partner with IT to deliver on Business objectives, including production code deployments, 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, 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

Required Qualifications

• 7+ years of experience in data science, analytics engineering, or a related role, preferably within financial services or another highly regulated industry
• Strong proficiency in Python and SQL, with experience using Git for version control and collaboration
• Demonstrated experience applying AI to automation pipelines, with attention to reliability, guardrails and responsible use
• Demonstrated experience implementing machine learning solutions, including model development, deployment, and ongoing monitoring in production environments
• Solid understanding of machine learning techniques, statistical analysis, and data modeling concepts
• Experience leveraging cloud platforms or remote compute environments to support data processing and analytics workloads
• Excellent written and verbal communication skills, with the ability to translate complex technical concepts for non-technical stakeholders
• Proven ability to manage multiple priorities, meet deadlines, and remain adaptable in fast-changing environments
• Strong time management skills, attention to detail, and a resourceful, problem-solving mindset

Preferred Qualifications

• Experience with enterprise data science platforms such as Dataiku (or similar tools)
• Familiarity with the AWS ecosystem, including services such as Redshift, S3, EC2, Lambda, and CloudWatch
• Experience with workflow orchestration tools (e.g., Airflow)
• Experience using dbt for analytics engineering and data transformations
• Familiarity with workflow automation tools such as Microsoft Power Automate
• Experience working with CRM platforms, such as Salesforce
• Experience integrating and consuming data via REST APIs

FlexProfessionals respects and seeks to empower each individual and support the diverse cultures, perspectives, skills, and experiences of its candidate network. FlexProfessionals does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. The candidates whose resumes are shared with our business clients are selected on the basis of qualifications, merit, and business needs.