SeniorDataScientist

## Description About the Team: Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers’ needs and deliver new products and features to help continuously improve their customer engagement workflows.   The mission of the Data Science team is to enable such continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows.   As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement our strategy for delivering this mission.   ## Your Daily Adventures Will Include Design, implement, and improve machine learning Systems. Contribute to machine learning applications end to end, i.e. from research to prototype to production. Work with product managers, designers, and customers to define vision and strategy for a given product. ## Our Vision of You A hybrid data science engineer who can navigate both sides with little help from others You understand the typical lifecycle of machine learning product development, from inception to production. Experience in Gen AI application/agent development is a plus. You have strong programming skills in at least one programming language (Python, Golang, etc.). Experience in frameworks like Langchain, OpenAI Agent SDK is a plus. You have experience building microservices. Experience with Golang is a plus. You have substanti