Data Scientist, User Operations at OpenAI

New York, New York, United States

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$245,000 – $385,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

10+ years of experience in data science roles within product or technology organizations
Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies
Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation
Proven experience designing and interpreting experiments and making statistically sound recommendations
Experience building data systems or pipelines that power production workflows or ML-based decisioning
Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker
Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks
Ability to build relationships with diverse stakeholders and cultivate strong partnerships
Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact
Ability to operate effectively in a fast-moving, ambiguous environment with limited structure
Strong communication skills and the ability to translate complex data into stories for non-technical partners

Responsibilities

Build and own metrics, classifiers, and data pipelines that determine automation eligibility, effectiveness, and guardrails
Design and evaluate experiments that quantify the impact of automation and AI systems on user outcomes like resolution quality and satisfaction
Develop predictive and statistical models that improve how OpenAI’s support systems automate, measure, and learn from user interactions
Partner with engineering and product teams to create feedback loops that continuously improve our AI agents and knowledge systems
Translate complex data into clear, actionable insights for leadership and cross-functional stakeholders
Develop and socialize dashboards, applications, and other ways of enabling the team and company to answer product data questions in a self-serve way
Contribute to establishing data science standards and best practices in an AI-native operations environment
Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization

Skills

metrics

classifiers

data pipelines

experimentation

predictive models

statistical models

automation

A/B testing

machine learning

SQL

Python

data engineering

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.

Customizable ChatGPT personas could lead to privacy and ethical concerns.

Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.

OpenAI's AI models, like Sora, offer unique video creation from text descriptions.

OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.

Customizable ChatGPT personas enhance user engagement and satisfaction.

OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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