The business is looking to embrace new technologies and GenAI capabilities to make a meaningful impact on customers and how the company connects with them. This involves developing holistic solutions that leverage new concepts into production systems, combining third-party and in-house capabilities, and staying informed about current industry trends.
Requirements
- Demonstrated experience providing and/or crafting customer-driven solutions using ML models.
- Understanding of software development best practices including source control, coding standards and testing frameworks.
- Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development.
- Demonstrated experience working with large, complex datasets using big data technologies and script.
- Demonstrated knowledge and understanding of managing data to scale using data summarization, query, and analysis software and tools.
- Demonstrated experience formulating, approaching, and solving complex analytical problems using a quantitative, scientific approach.
Responsibilities
- Proactively researches, evaluates, applies and shares expertise of emerging AI technologies and open-source tools; with a strong emphasis on Generative AI, including (auto)prompt engineering, Agentic AI frameworks/MCP, and maturing our infrastructure through tools such as LangFuse/LiteLLM.
- Oversees the deployment and integration of AI models into production environments, ensuring alignment with business objectives and operational requirements.
- Defines the scope of data science work on a project, coordinates what data scientists are working on, anticipates and escalates upcoming considerations, and works with engineering/design/product/etc. to deliver impactful business solutions.
- Engages with key parts of the business to understand the problems they’re trying to solve and where there are opportunities to leverage the latest data science advancements.
- Leads data science contributions on multiple projects; from large corporate initiatives, discovery/research projects, engagement with third-party vendors and consulting companies, and partnerships with academia.
Other
- This role is not approved for sponsorship now or in the future.
- Up to 10% travel.
- Offer to selected candidate will be made contingent on the results of applicable background checks
- Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
- In this flex office/home role, you will be expected to work a minimum of 10 days per month from one of the following office locations: Madison, WI 53783; Boston, MA 02110
