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# Founding Data Scientist

- **Company:** Sela AI, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $180,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Big Data, Python (Programming Language), Machine Learning, Recommender Systems, Standard Sql, Large Language Models, Low Latency, Modeling and Simulation
- **Published:** September 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=864b9459716b3b4f

## About the Role

* 4+ years of experience in data science, machine learning, experimentation, or a closely related field.
 * Strong statistical foundations and experience designing and analyzing experiments.
 * Strong Python and SQL skills and the ability to work with very large datasets.
 * Ability to take an ambiguous problem, figure out what to measure, and turn the results into actionable recommendations.
 * Strong technical judgment and the ability to work closely with engineers on experimentation systems.
 * High agency and the ability to operate without an established playbook.

Nice to haves:

 * Experience designing experimentation or optimization systems at scale.
 * Experience with causal inference, personalization, ranking, or recommendation systems.
 * Experience working with LLMs, speech, or conversational data.
 * Experience at a fast-growing startup or as an early data science hire.

## Description

* Challenging problems: Outperforming human sales teams on half a million daily calls is not easy. Low-latency, real-time infra. 99.9% uptime. Enterprise-grade privacy and security. Advanced simulation and evaluation systems. Flexible A/B testing. AI scheduler and dialer. We own the whole stack and we do not compromise on quality.
 * Well-funded: We've raised $21M+ in total funding, most recently a $15M Series A in June 2026.

What will you do

 * Help us build the top-performing AI sales agent in the world.
 * Analyze hundreds of millions of calls to understand what drives better sales outcomes.
 * Design and run experiments across every part of the sales call - what we say, how we say it, when we call, and more.
 * Build models that help us personalize and optimize calls for each lead.
 * Turn large, complex datasets into recommendations that directly improve our AI agents.
 * Partner closely with engineering to build a robust, scalable, and future-proof experimentation framework.

What will you own

 * Experimentation across hundreds of millions of sales calls, from identifying opportunities to measuring results.
 * The methodology behind how we design experiments, measure outcomes, and make decisions.
 * Turning insights from our calls into improvements to our AI sales agents.
 * Ensuring our experimentation framework can support increasingly sophisticated experiments as we scale.
 * As our first data scientist, defining how data science is done at Sela and eventually the team we build.