Latest AI JobsBrowse Jobs
HappyRobot logo

Data Scientist

HappyRobotSan FranciscoEngineering
Apply on company site
Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
14 Jul 2026
Status
Open · checked 7d ago

About this role

HappyRobot is hiring a full-time Data Scientist to join the engineering team in San Francisco with remote flexibility. This role suits an experienced quantitative professional eager to integrate data into core product development and agent performance tracking.

Role Overview

In this position, data becomes a primary driver for how HappyRobot builds and refines its products. Working alongside Product, Engineering, and Machine Learning teams, the individual in this role will measure how modifications to models, agents, and features influence real-world performance. Responsibilities include defining key metrics, designing experiments, and executing deep analyses to determine how autonomous agents generate value for clients. The role involves translating complex datasets into actionable insights that directly shape product and machine learning roadmaps.

Key Responsibilities

Define and track product, feature, and agent-level metrics.
Design, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features.
Measure how agent performance impacts client outcomes like task completion, operational efficiency, response quality, and automation rates.
Connect offline model evaluations with production performance and real-world customer impact.
Conduct deep analyses across conversations, workflows, and product usage to uncover opportunities and explain performance variations.
Investigate anomalies and regressions, perform root-cause analyses, and recommend improvements.
Build statistical models, simulations, and analytical frameworks to support product and ML decisions.
Partner with Engineering to enhance instrumentation, data quality, experimentation systems, and analytical data models.
Build dashboards and self-serve tools to help teams understand product and agent performance.
Communicate findings and recommendations clearly to technical and non-technical stakeholders.

Requirements

4+ years of experience in Data Science, Product Analytics, or another highly quantitative product role.
Strong experience with experimental design, A/B testing, statistics, causal inference, and hypothesis-driven analysis.
Advanced proficiency in SQL and Python.
Experience defining and operationalizing product and feature metrics.
Ability to translate ambiguous product questions into rigorous analyses and actionable recommendations.
Strong product instincts and the ability to distinguish statistical significance from meaningful product or customer impact.
Experience partnering closely with Product, Engineering, or Machine Learning teams.
Strong written and verbal communication skills.
High attention to detail and commitment to analytical accuracy.
Founder mindset including ownership, independence, curiosity, and willingness to go deep.

Nice to Have

Experience working with large language models, AI agents, generative AI, or other probabilistic ML products.
Experience measuring the production impact of model, prompt, retrieval, or orchestration changes.
Familiarity with ML evaluation systems and the relationship between offline evaluations and online metrics.
Experience analyzing conversational, NLP, speech, or other unstructured data.
Experience with enterprise or B2B products.
Experience combining quantitative analysis with qualitative methods like conversation reviews, customer feedback, surveys, or user research.
Familiarity with modern analytics infrastructure, data warehouses, experimentation platforms, and business intelligence tools.
Prior experience in a fast-growing startup or other highly ambiguous environment.

Skills and Tools

Python
SQL
NLP
Experimental design and A/B testing
Statistical modeling and causal inference
Product analytics and metric definition

Salary and Benefits

Competitive salary and equity in a high-growth startup
Comprehensive benefits including healthcare, dental, and vision coverage
Opportunities for project ownership and autonomy

About the Company

HappyRobot provides the infrastructure for enterprises to build and orchestrate AI workforces that make decisions, take action, and run operations autonomously. Born in Y Combinator (S23) and backed by a16z, Base10, Prysm Capital, and Eurazeo with over $150M raised, the company powers critical operations for global enterprises worldwide. Operating principles at HappyRobot emphasize extreme ownership, craftsmanship, friendly collaboration ("majos"), urgency with focus, talent density, and first-principles thinking.

How to Apply

To apply for this position, please visit the official company careers page.

Skills and tech stack

PythonSQLNLP

Questions candidates ask

What qualifications are required for this Data Scientist role?

Candidates must have 4+ years of experience in Data Science, Product Analytics, or a similar quantitative product role, along with advanced proficiency in SQL and Python, strong experimental design skills, and a founder mindset.

Is this a remote position?

Yes, this position offers remote work flexibility, with the company based in San Francisco.

What benefits does HappyRobot offer?

HappyRobot offers comprehensive benefits including healthcare, dental, and vision coverage, alongside a competitive salary and equity in a high-growth startup.

What tools and programming languages will I use?

The role requires advanced proficiency in SQL and Python, and involves working with NLP and modern data analytics infrastructure.

How do I apply for the Data Scientist job at HappyRobot?

You can apply by visiting the official HappyRobot company careers page.

Ready to apply?

The application is on the official HappyRobot careers page.

Apply on company site