Data Scientist / Engineer (Hybrid- Boston) at Shift… · US -…

Summary: Shift Technology is the leading AI platform for insurance, combining generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk. The Data Scientist/Engineer will work within the Data Science team, contributing to the US Subrogation roadmap and implementing data engineering solutions. Responsibilities: - Your role will be to actively contribute to the US Subrogation roadmap and clients, and working on various data types such as structured data, free text, documents and images - Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch) - Developing, testing, tuning models and putting them in production for tasks such as fraud detection and automation detection in complex environments - Automate key business tasks by implementing them in our production process framework in C# - Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases or defining the roadmap of evolutions Required Qualifications: - 1-2 years of experience with diverse skills to help build technology solutions - Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users - AI-savvy, either by having a degree in machine learning and/or statistics - Clear understanding of statistics and machine learning problems, tasks and common resolutions - Comfortable and open to communicating with clients on a regular basis - Interested in learning and mastering the business aspects of products Required Skills: Production-quality code, Machine learning, Statistics Nice-to-Have Skills: Client communication, Business understanding Benefits: Flexible remote and hybrid working options, Competitive Salary and a variable component tied to personal and company performance, Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth, Generous PTO and paid holidays, Mental health benefits, 2 MAD Days per year (Make A Difference Days for paid volunteering)