Data Scientist / Engineer, Shift Technology

• This position is ideal for a Data Scientist with 2-4 years in a technical team lead or mentor role who excels in both technical expertise and leadership capabilities
• Bachelor’s or advanced Degree in Data Science, Computer Science or a related field
• 3+ years as an individual contributor in Data Science, Data Engineering, Data Analytics or Software Engineering field with a track record of delivering impactful data-driven solutions in a business context
• Strong proficiency in programming, and, experience in coding with an object-oriented language (Java, C#, C++, etc.)
• Prior experience in a leadership or supervisory role, demonstrating the ability to lead, mentor, and inspire a team
• Excellent communication and presentation skills, with the ability to convey complex ideas to both technical and non-technical stakeholders
• Excellent problem-solving skills and the ability to translate complex findings into actionable insights
• Ability to manage multiple priorities and adapt to a rapidly changing environment
• Ability to structure a complex problem in an ambiguous context with unknown factors

Desirable

• As a Data Science Team Lead at Shift Technology, you will play a pivotal role in leading a team of 3-5 skilled data scientists and actively contribute to the development of data-driven solutions that have a significant impact on the insurance industry
• You will lead and mentor a team of data scientists, providing technical guidance, support, and career development opportunities
• You will actively contribute to the development and improvements of our fraud detection models, and write and maintain code in C# and SQL
• You will clean, preprocess, and analyze large datasets to find creative methods to detect large scale fraud rings, involving medical providers, identity thefts, fake claims, often worth several million dollars of fraudulent payments
• You will manage the team's priorities and lead project planning, execution, and delivery, ensuring that projects are completed within deadlines and meet high-quality standards
• You will oversee the implementation and deployment of our models into production, ensuring scalability, reliability, and performance
• You will work closely with our clients to understand their business and organizational context, present results and discuss the performances of our models and ensure our products add value within their organizational priorities and constraints
• You will collaborate with cross-functional teams (Product Management, Project Management, Software Engineering, Customer Success Management, etc.), providing technical expertise and leadership to drive innovative solutions that meet our clients' needs
• You will support our Sales and Value Engineering teams, and present demos of our products to prospects
• This is a Hybrid role based in Boston, MA and the selected candidate will need to be able to work onsite at least once a week

• HR Interview
• Interview 1: Interview with a Data Science Manager
• Interview 2: Technical Interview with a Tech Lead
• Interview 3: Head of Data Science - US P&C + Office Meeting
• Reference call