Director I, Data Science, Enterprise Data & Data Science
WFA Digital Insight
As demand for data scientists with expertise in AI and ML continues to rise, with a notable 25% growth in job postings over the last year, roles like this Director I, Data Science position at Liberty Mutual represent a significant opportunity for professionals to make a tangible impact in the field. With the ability to work remotely, this position offers the flexibility that has become increasingly valued in the job market. Candidates should be prepared to demonstrate not only deep technical expertise but also the ability to lead and collaborate effectively in a remote setting. With the emphasis on innovation and staying ahead of the curve in data science and AI, this role is particularly appealing for those looking to push the boundaries of what is possible in the industry.
Job Description
About the Role
The Director I, Data Science position at Liberty Mutual is a unique opportunity for a talented and experienced data scientist to lead the development and implementation of cutting-edge data science solutions. This role is part of the Enterprise Data & Data Science team, where you will have the chance to work on projects that combine data science, AI, and enterprise data strategy. Your work will focus on identifying, evaluating, and developing innovative solutions, including the creation of GenAI evaluation frameworks and semantic data layers.As a key member of the team, you will be expected to collaborate closely with other data scientists, machine learning engineers, data engineers, and business partners. Your expertise will be crucial in driving the adoption of best practices across a large and collaborative data science organization. The role requires a deep understanding of predictive analytic techniques, statistical diagnostics of models, and advanced knowledge of predictive toolsets.
What You Will Do
- Design, build, and evaluate generative AI solutions and agentic systems to address complex business challenges
- Develop and maintain data semantic layers and knowledge graphs to enhance enterprise-scale data accessibility
- Build and implement evaluation frameworks and tools to assess the performance, reliability, and safety of GenAI systems
- Collaborate with cross-functional teams to integrate data science solutions into business operations
- Lead cross-functional working groups to drive innovation in AI/ML methods and their applications
- Communicate complex technical findings clearly and effectively to non-technical stakeholders
- Serve as a technical consultant on complex, high-impact projects that require data science expertise
- Develop and maintain strong relationships with internal stakeholders to ensure the alignment of data science solutions with business objectives
- Stay up-to-date with the latest developments in data science, AI, and ML, and apply this knowledge to continuously improve the team's capabilities
What We Are Looking For
- Advanced degree (Ph.D. or Master's) in a scientific field of study (Statistics, Mathematics, Economics, Actuarial Science, etc.)
- Minimum of 3 years (with a Ph.D.) or 6 years (with a Master's) of relevant experience in data science or a related field
- Broad knowledge of predictive analytic techniques, statistical diagnostics of models, and predictive toolsets
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely
- Strong foundation in data science and machine learning, with proven MLOps expertise
- Experience building GenAI solutions and agentic systems
- Familiarity with GenAI evaluation methodologies and data semantic layers
- Ability to work collaboratively in a large enterprise environment and lead cross-functional teams
- Excellent communication and presentation skills, with the ability to communicate technical information to non-technical stakeholders
Nice to Have
- Experience with cloud-based data platforms and tools
- Knowledge of programming languages such as Python, R, or SQL
- Familiarity with Agile development methodologies and version control systems like Git
- Previous experience in a remote work setting, with the ability to work independently and as part of a distributed team
Benefits and Perks
- Competitive salary and benefits package
- Flexible and remote work arrangements
- Opportunities for professional development and growth within the company
- Access to cutting-edge technologies and tools in data science and AI
- Collaborative and dynamic work environment with a team of experienced professionals
- Comprehensive health insurance and wellness programs
- Generous PTO and holiday package
- Retirement savings plan with company match
How to Stand Out
- Ensure your resume and LinkedIn profile are up-to-date and highlight your data science and AI/ML skills.
- Prepare examples of your work, including any personal projects or contributions to open-source initiatives, to demonstrate your expertise in data science and AI.
- Research Liberty Mutual's current projects and initiatives in data science and AI to understand how your skills and experience align with the company's goals.
- Practice explaining complex technical concepts in simple terms to non-technical stakeholders, as this will be a key part of your role.
- Consider reaching out to current or former employees of Liberty Mutual to gain insights into the company culture and what it's like to work in the data science team.
- Be prepared to discuss your experience with remote work and how you stay productive and connected with team members in a distributed environment.
- Review the company's website and recent news articles to stay informed about Liberty Mutual's approach to innovation and technology.
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