Mulberry is a technology company redefining how insurance is offered at the point of sale. We optimize for the consumer and for the retailer -- for ease-of-use and for scalability. We are hiring a Senior Data Scientist to grow our insurtech platform and to help us continue to transform how insurance is priced and offered to our customers. At Mulberry you will be working with a team with a broad set of technical skills and a deep experience in building insurance and financial technology products.

We want someone who is motivated to find large-scale solutions with us. We like to spend our energy developing automation wherever possible, with a particular focus on making business processes more streamlined and efficient. We work with big data on small teams, and every contribution is critical to the success of the business.

Technologies we use at Mulberry

• Amazon Web Services (AWS), SQL, NoSQL (KV and columnar)
• Python, flask, sqlalchemy
• Tensorflow, PyTorch, sklearn, DVC, MLFlow, Spark
• Airflow, Docker, Kubernetes

What you will do

• Lead and manage the development of ML-powered predictive models
• Design and improve model-development pipelines and related processes
• Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
• Partner with other data scientists and engineers to turn various machine learning solutions into viable and scalable products
• Collaborate with Product/Engineering to identify new automation opportunities
• Improve data science and machine learning practices and documentation
• Be an active contributor and technical leader to ML practitioners at Mulberry
• Help develop and execute the team’s long-term strategy and roadmap

Who you are

• You are passionate about machine learning and related technologies
• You have built ML-based products to deliver measurable impact on customers
• You possess a solid understanding of math, computer science and ML fundamentals
• You have deep knowledge of modern ML/DL frameworks and technologies
• You have deep expertise in Python (or other data science and ML-adjacent general-purpose programming languages)
• You are familiar with agile software processes and care about system reliability
• You have experience w/ MLOps and data warehousing tech
• You have experience working with large, complex and diverse data sets from a variety of sources
• You have 5+ years relevant professional experience
• You have experience with cloud computing platforms such as AWS, GCP, Azure
• You understand how requirements evolve and have made improvements to products that are already productionized
• You have experience with working in a CI/CD engineering environment
• You keep up with state of the art research by reading papers, attending conferences, and participating in research communities

A plus if you have

• An MS or PhD in CS, OR, EE, Physics or related quantitative field
• Worked with productionization of Machine Learning research, and ML project lifecycle management
• Experience with natural language processing and/or computer vision
• Genuine interest of AI and machine learning methods and algorithms
• Publications in application of ML/DL techniques in the fields of NLP or CV
• Strong understanding of concurrent and parallel programming
• Deep experience with relational, NoSQL and graph databases

The Offer

• Competitive salary
• Unlimited PTO
• Stock options
• One-time-use WFH stipend
• Full suite of benefits w/ medical, dental, vision insurance and 401(k)
• Ongoing career development with co-founders and other thought leaders within the company