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Staff Applied Scientist - Knowledge Graphs & AI

Join Outreach as a Staff Applied Scientist to leverage data for optimizing customer engagement workflows.

Location
Hyderabad
Compensation
Not disclosed
Level
staff
Type
full time

Posted by employer 2 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Outreach.io → Save job Scanned from outreach.io

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 Staff Applied Scientist focuses on enhancing customer engagement workflows through data-driven insights and optimization strategies. Key skills include expertise in natural language understanding, predictive analytics, and causal inference, alongside collaboration with 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 impact revenue teams at a growing company. Outreach's commitment to leveraging data for continuous improvement underscores the importance of this role.

Joblaze insights

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Data Science, natural language understanding, predictive analytics.
What seniority level is this role?
Outreach.io targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff 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.

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