Staff Data Scientist

Travelers • Hartford, CT

2d

About The Position

Travelers is seeking a Staff Data Scientist to join its Claim Research team and build machine learning and artificial intelligence capabilities that transform claim organizations. The role involves developing complex models to address key business problems using advanced statistical techniques and machine learning algorithms, potentially using advanced technical tools in data science. The Staff Data Scientist communicates insights to business and analytical leaders and collaborates with technology partners to deliver analytics into marketplace products.

Requirements

• Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field, plus five years of experience; or a suitable and equivalent combination of education and work experience.
• Heavy concentration in mathematics, including statistics and programming, business intelligence or analytics, and data science tools and research using large data sets; additional verification of specific coursework is required.
• Subject matter expertise in modeling, research, analytics, or actuarial work.
• Subject matter expertise in value creation and business model concepts.
• Subject matter expertise in multiple statistical software programs.
• Ability to develop highly complex models, interpret their results, and recommend adjustments.
• Expertise in advanced statistics underlying data models and ability to apply emerging statistical procedures to complex work.
• Subject matter expertise in three to five of the following: regression, classification, machine vision, natural language processing, deep learning, and statistical modeling.
• Hands-on experience building and evaluating LLM-based applications and AI agents, such as prompt design, retrieval-augmented generation, tool use, and orchestration.
• Experience designing generative AI evaluation approaches, including accuracy, hallucination and error analysis, and golden-set creation.
• Ability to elicit requirements from non-technical stakeholders and turn ambiguous business problems into well-scoped solutions.

Nice To Haves

• Familiarity with insurance claims data and processes.

Responsibilities

• Lead business or technical projects focused on designing or developing analytical solutions.
• Lead the development of community best practices in AI and machine learning, statistical techniques, and coding.
• Create ways to share expertise with the community through discussions, presentations, and peer reviews.
• Challenge conventional thinking where appropriate and persuade peers and technical and business leaders to consider different points of view.
• Guide teams' technical strategy through technical expertise.
• Set and manage expectations with business partners across multiple projects, generate ideas, build consensus, and identify potential conflicts.
• Communicate analysis, insights, and results to teams, peers, and business partners.
• Partner with cross-functional teams and leaders to support successful execution of data science strategies.
• Mentor and support less experienced analytic talent, onboard new employees and interns, and assist with recruiting and talent assessment.
• Collaborate with Senior Staff Data Scientists on training and skill-development initiatives, including delivering training to the analytics community.
• Perform other duties as assigned.

Benefits

• Health insurance coverage for employees and eligible family members from the first day of employment.
• Dollar-for-dollar 401(k) matching on contributions up to the first 5% of eligible pay, subject to an annual maximum.
• Paying it Forward Savings Program contributions to employees' 401(k) accounts when they make payments toward student loans.
• Pension Plan funded 100% by Travelers.
• At least 20 days of paid time off annually.
• Nine paid company holidays.
• Wellness program with tools, discounts, resources, and caregiving support.
• Mental health program with free professional counseling, health coaching, and other resources.
• Matching Gift and Volunteer Rewards program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior