Y Combinator Senior Data Scientist (Agentic Solutions)
Summary
Designs and deploys AI-powered agentic solutions for enterprise customer experience, leveraging generative AI, LLMs, and machine learning to automate CX workflows for global brands.
The ideal candidate is hands-on, delivery-oriented, and excited about applying advanced analytics, machine learning, large language models, and agentic AI frameworks to real-world use cases. You will work closely with cross-functional teams, including product, engineering, solutions, and customer-facing stakeholders, to prototype, validate, and deploy intelligent solutions that create measurable business impact.
This role is well-suited for someone who combines strong technical depth with practical execution, strong problem-solving skills, and the ability to communicate complex ideas clearly to both technical and non-technical audiences.
Responsibilities
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Design, prototype, and deliver AI and agentic solutions for internal and client-facing use cases.
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Apply data science, machine learning, and generative AI techniques to solve complex business problems.
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Partner with product, engineering, and delivery teams to translate requirements into scalable solution designs.
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Evaluate model performance, solution quality, and business impact using data-driven methods.
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Support experimentation, proof-of-concepts, and production-ready implementations.
Communicate insights, recommendations, and technical approaches clearly to stakeholders.
Stay current with emerging trends in AI agents, LLMs, automation, and applied data science.
Requirements
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Strong experience in data science, machine learning, analytics, or applied AI.
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Hands-on experience with Python, SQL, data analysis, and model development workflows.
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Familiarity with generative AI, LLMs, prompt engineering, RAG, or agentic AI frameworks.
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Experience working on client-facing, delivery-focused, or product-oriented technical initiatives.
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Ability to move from ambiguous problem statements to practical, implemented solutions.
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Strong communication skills and comfort working with cross-functional teams.
Skills
As published by lever · 5 questions · 3 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Portfolio URL, GitHub / Other URL
Pick from a list (2)
- What is your Current Location? optional
- What is your notice period with your current employer? optional
Written answers (3)
- What is your current CTC (Current Cost to Company)?
- What is your expected CTC (Expected Cost to Company)?
- How soon are you able to join if selected?