Drive commerce excellence with the Conga platform. Align pricing, CPQ, CLM, and document automation with purpose-built AI to scale your enterprise growth. Backed by ICONIQ.
About the role
At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Master's degree in Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, Engineering, or a related quantitative field. Ph.D. preferred but not required
- 10+ years of professional experience in data science, machine learning, NLP, or AI, including significant hands-on experience building and deploying NLP and/or GenAI solutions
- Proven experience taking ML, NLP, or GenAI solutions from experimentation through production deployment and ongoing optimization
- Demonstrated ability to translate open-ended research into practical, measurable outcomes
- Excellent communication skills and a track record of working effectively as a senior individual contributor across technical teams
More about this role
A career that’s the whole package!
At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.
Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.
As an AI Data Scientist at Conga, you will be a hands-on technical leader responsible for researching, building, evaluating, and deploying the natural language and machine learning capabilities that power our revenue lifecycle management solutions. You will work across traditional NLP, statistical machine learning, deep learning, and Generative AI to solve complex product and business problems, partnering closely with...
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