The Staff Data Scientist will develop complex models for underwriting and operations, guiding technical strategy and mentoring junior analysts while collaborating across teams.
Who Are We?Data ScienceCompensation Overview1As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions.What Will You Do?
Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Job Category
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range$161,400.00 - $266,300.00Target Openings
What Is the Opportunity?
- Lead business or technical projects focused on the design or development of analytical solutions.
- Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding.
- Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews.
- Begin to challenge conventional thinking where appropriate.
- Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view.
- Guide technical strategy of teams through own technical expertise.
- Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts.
- Communicate analysis, insights, and results to team, peers, business partners.
- Partner with cross-functional teams and leaders to support the successful execution of data science strategies.
- Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts.
- Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community.
- Perform other duties as assigned.
- Subject matter expertise in modeling/ research/ analytics or actuarial required
- 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 model results and recommend adjustments
- Expertise in advanced statistics underlying data models
- Ability to apply emerging statistical procedures to complex work
- Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.
- Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience.
- Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required.
What Is in It for You?
- Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
- Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
- Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
- Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
- Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
Employment Practices
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.
Top Skills
AI
Classification
Deep Learning
Machine Learning
Machine Vision
Natural Language Processing
Regression
Statistical Software
Statistical Techniques
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