Lead Data Scientist - Highspot
About Highspot
Highspot is a software product development company and a recognized global leader in the sales enablement category, leveraging cutting-edge AI and GenAI technologies at the core of its robust Software-as-a-Service (SaaS) platform. Highspot is revolutionizing how millions of individuals work worldwide. Through its AI-powered platform, Highspot drives enterprise transformation to empower sales teams through intelligent content management, training, contextual guidance, customer engagement, meeting intelligence, and actionable analytics. The Highspot platform delivers advanced features tailored to business needs, in a modern design that sales and marketing executives appreciate and is the #1 rated sales enablement platform on G2 Crowd.
While headquartered in Seattle, Highspot has expanded its footprint across America, Canada, the UK, Germany, Australia, and now India, solidifying its presence in the Asia Pacific markets.
About the Data & Services Engineering (DSE) Team:
The Data & Services Engineering (DSE) Team is on the mission of building innovative solutions to drive growth and adoption of the Highspot platform, drive operational efficiency to scale our customer services organization, generate impactful analytics insights we can share with customers and industry, integrate & share curated data from our data warehouse to empower data-driven decision making across the organization.
About The Role:
We are looking for a skilled and passionate Data Scientist leader with skills and experience managing a growing team and hands on experience of working within the entire analytics lifecycle. As the Lead Data Scientist, you will be responsible for analyzing large and complex data sets to identify patterns, create new metrics, develop predictive models, build dashboards, and generate insights that drive business decisions. You will lead high-visibility high-impact projects and work closely with a skilled and diverse group of domain experts, company leaders, software engineers, data analysts, data engineers, and beyond.
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