Data Scientist Claim Experience Analytics

About the Role

The Claim Experience Analytics team plays a critical role in Extend's mission to provide merchants with AI-driven solutions that drive revenue growth and enhance customer satisfaction. By balancing user experience and operational efficiency, this team ensures that Extend's platform delivers seamless and effective claim handling, intake, and fulfillment processes. As a Data Scientist in this team, you will be working closely with cross-functional partners, including Analytics, Operations, Product, and Engineering, to optimize claim processes and drive business growth.

Extend's commitment to innovation and customer satisfaction is evident in its comprehensive platform, which offers automated customer service handling, end-to-end automated fulfillment, and product protection, alongside best-in-class fraud detection. With over 1,000 leading merchant partners across various industries, Extend is poised for continued growth and expansion. As a Data Scientist, you will have the opportunity to contribute to this growth by identifying high-impact opportunities, analyzing trends, and delivering data-driven insights that inform business decisions.

What You Will Do

• Identify areas for process and product enhancements to improve claim operations, servicing, and fulfillment
• Analyze usage trends and anomalies in claim processes to deliver data-driven recommendations
• Monitor and measure the impact of new product features on claim handling and user experience
• Evaluate and iterate AI-driven solutions to optimize agent behaviors and ensure stability of agent interactions
• Develop and maintain dashboards and reports to track key performance indicators and metrics
• Collaborate with cross-functional teams to design and implement process improvements
• Cultivate a data-driven culture by translating complex analyses into clear, compelling narratives and visualizations
• Partner with Analytics, Operations, Product, and Engineering to optimize claim intake, adjudication, and fulfillment product features
• Stay up-to-date with emerging trends and technologies in data science and analytics
• Develop and maintain documentation of data sources, methodologies, and results
• Present findings and insights to senior leadership and stakeholders
• Contribute to the development of Extend's data strategy and roadmap

What We Are Looking For

• 3+ years of experience in data science or a related field, with a focus on analytics and data-driven decision making
• Advanced skills in Excel, including data modeling, visualization, and analysis
• Experience working with large datasets and performing statistical analysis
• Strong understanding of data visualization principles and tools
• Excellent communication and storytelling skills, with the ability to present complex data insights to non-technical stakeholders
• Ability to work in a fast-paced environment and prioritize multiple projects simultaneously
• Strong collaboration and teamwork skills, with experience working with cross-functional teams
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
• Experience with SQL and data querying languages
• Familiarity with machine learning algorithms and models

Nice to Have

• Experience working with cloud-based data platforms and tools
• Knowledge of programming languages such as Python or R
• Familiarity with data science tools and technologies, including Jupyter Notebooks and scikit-learn
• Experience with Agile development methodologies and version control systems
• Certification in data science or a related field

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a fast-growing and innovative company
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible working hours and remote work arrangements
• Access to cutting-edge technologies and tools
• Comprehensive health and wellness program
• Generous paid time off and holiday policy
• Retirement savings plan and matching program
• Employee recognition and reward programs

• To stand out in your application, be sure to highlight your experience with Excel and data analysis, as well as any relevant certifications or training.
• When preparing for your interview, practice presenting complex data insights in a clear and concise manner, using visualizations and storytelling techniques.
• Be prepared to discuss your experience working with cross-functional teams and collaborating with stakeholders to drive business decisions.
• Consider creating a portfolio of your work, showcasing your ability to analyze complex data sets and deliver actionable insights.
• Don't be afraid to ask questions during the interview process, such as what a typical day looks like in the role or what opportunities there are for growth and professional development.
• When negotiating salary, be sure to research the market rate for data scientists in your area and be prepared to discuss your expectations and requirements.
• Red flags to watch for in the interview process include a lack of clarity around the role or expectations, or a disorganized or unprofessional interview process.