Big challenges. Passionate people. Smart solutions. This is what you’ll find at 1848 Ventures. We help business owners manage uncertainty and discover opportunity in risk. We’re not aiming for incremental improvement; we’re breaking new ground. And when we see opportunity for innovation, we have the freedom, resources, and culture to make it happen. We’re champions of business owners everywhere. After all, it’s this startup ethos and entrepreneurial spirit that 1848 Ventures – and our parent company, Westfield – was founded on. Westfield, a leading provider of commercial insurance, established 1848V in 2018 to expand beyond conventional insurance services and address the broader risks small business owners face every day. We meet our customers where they are, partnering together to deliver digital solutions that improve their bottom line. At 1848 Ventures, we focus on building careers – not just jobs. Based in Northeast Ohio near Cleveland, our team members grow their creative and commercial skill sets, applying their talents to a wide range of portfolio concepts. And who we are drives what we do – our values empower a thriving culture that allows for true innovation, learning, and growth. We know that in order to succeed, we need the right people to make it happen. We start by building a team with a diverse set of voices, backgrounds, and experiences. We’re looking for the innovators. The pioneers. The change agents. The people who aren’t afraid to ask, “What if…?” and try it anyway. This is the place for self-starters, go-getters, and anyone who wants to see a good idea become a great reality. We’re looking for experienced, collaborative, results-driven critical thinkers from a diverse array of personal and professional backgrounds to lead the development and refinement of new venture concepts based on deep customer insights. We are an equal opportunity employer/minority/female/disability/protected veteran.

1848 Ventures

United States

Data Scientist (Machine Learning/AI)

1848 Ventures opportunities can be 100% remote or onsite in our office in Westfield Center, OH. Relocation assistance is available.

The Opportunity

The Venture Data Scientist leads efforts to identify, gather, and analyze data sets, surveys, and patterns to refine and validate innovation opportunities, as well as generate and test data-centric solution concepts. (It’s a mouthful, but trust us, it’s fun.)

In addition, as a core member of the Venture Development team, the Data Scientist will develop machine-learning prototypes, design automated processes to cleanse large data sets, and generate meaningful insights in support of the creation, validation, and launch of these solutions.

Curious? Here are the details you need to know.

What It Takes:

  • This is a multi-faceted role, one that requires significant thought-leadership and execution support from ideation through product development and launch. You’ll wear several hats:
  • Builder of smart solutions that improves business operations by combining data science and AI practices with human-centered design techniques.
  • Collaborator and hands-on consultant that bridges the gap between creative design and quantitative analysis, as well as between 1848 Ventures team members and external partners.

What You Need For This Role:

This is a unique opportunity to establish the technical direction for data science from the ground up, to choose the tools and tech that form the basis of our innovation process. In this role, you’ll leverage your collective work experience and education to:

  • Lead data and AI methods to drive innovation and/ or generate business value.
  • Engage in and lead diverse teams of internal employees and external partners.
  • Work as a high performer, execute with speed and agility, and apply creativity to work.
  • Identify and analyze exploratory data sets, craft surveys and evaluate responses, and prototype intelligent system maps as part of early-stage opportunity analysis, concept development, and concept refinement.
  • Use human-centered design to discover innovation opportunities and create data-driven solutions.
  • Design data-driven experiments to validate assumptions and build compelling features.
  • Create a data-collection strategy for predictive modeling and automated product improvements.
  • Oversee technical documentation; outline assumptions, approaches, and solutions and define high-value data insights to inform the team’s decision-making.
  • Keep the team informed on relevant data science topics and grow your own knowledge of machine learning, including prototyping new methods and tools; stay up-to-date on data privacy regulations and methodologies.