# Data Scientist, Personalization & Machine Learning

**Company**: OpenAI
**Location**: San Francisco
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full-time
**Salary**: $347K - $445K
**Category**: Data Science
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/5dce6671-9aa8-4c49-b263-b175a2a927f8?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_25ee9359-eac

## Description

We work across product, growth, and monetization to help people get more value from OpenAI's products. We're looking for a data scientist who can enter an unfamiliar product area, find a useful ML application, and turn it into a working product intervention.

You will own the work from problem definition and data preparation through modeling, experimentation, and launch evaluation. Projects will include personalization, next-best-action recommendations, lifecycle management, promotion targeting, and models of retention and customer lifetime value.

Responsibilities:

- Identify opportunities with product and business partners, define the decision a model will inform, and prioritize work by user value, feasibility, and expected impact.

- Build datasets, features, reproducible training workflows, and models.

- Translate predictions into product actions.

- Design experiments and use causal reasoning to establish whether those actions improve user and business outcomes.

- Partner with engineers on integration, serving or batch scoring, monitoring, and rollout.

- Explain results and limitations clearly, document decisions, and build reusable methods that other teams can adopt.

Requirements:

- Have built and evaluated applied ML systems that influenced a product or business decision, with clear ownership of the modeling work.

- Write effective Python and SQL and can investigate imperfect data, debug models, and make pragmatic implementation choices.

- Build and schedule production scoring pipelines using dbt, airflow, and flyte.

- Understand supervised learning, evaluation, experimentation, and the difference between predicting an outcome and changing it.

- Can scope ambiguous problems, work across disciplines, and explain technical tradeoffs to colleagues with different backgrounds.

- Are motivated by helping people use AI effectively and by learning unfamiliar product domains.

- Are excited to take on challenging, impactful ML problems across multiple areas.

- Experience with recommendation systems, personalization, growth, retention, lifetime value, or treatment-effect modeling would be useful.

Benefits:

- We welcome candidates whose relevant experience comes from other domains.

- OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

## Skills

### Required
- Python
- SQL
- dbt
- airflow
- flyte
- machine learning
- personalization
- recommendation systems

### Nice to have
- growth
- retention
- lifetime value
- treatment-effect modeling

---

Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/5dce6671-9aa8-4c49-b263-b175a2a927f8?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)