Join Outreach as a Senior Applied Scientist to leverage data for optimizing customer engagement workflows.
Posted by employer 2 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
AI in the day-to-day
Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Applied Scientist focuses on leveraging data to enhance customer engagement workflows through the development of metrics and optimization tools. Proficiency in natural language understanding, predictive analytics, and causal inference is essential, along with a collaborative spirit to work alongside data scientists and engineers. This position is ideal for experienced professionals with a strong background in data science and machine learning, particularly those looking to make a significant impact in a data-driven environment. Outreach's commitment to data as a core strategy underscores the importance of this role in driving customer success.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, natural language understanding, predictive analytics.
- What seniority level is this role?
- Outreach.io targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Applied Scientist - Knowledge Graphs & AI role at Outreach.io.
From the original posting
About Outreach
Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
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.