Data Scientist / Engineer

About the Team

• This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world.
• Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement.
• Our company is small enough that each person's achievements has an impact on our overall performance, yet big enough to be a world leader and innovator in our domain.
• As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients.

Job Responsibilities

• Your role will be to actively contribute to the US- Insurance 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

WHAT WE ARE LOOKING FOR

We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:

• Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users- writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking.
• AI-savvy, either by having a degree in machine learning and/or statistics. Having a clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
• Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis
• Business smart. We don't expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products

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