Data Scientist Manager - Measurement & Quantitative Forecasting at OpenAI

San Francisco, California, United States

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$325,000 – $405,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

7+ years in data science, measurement/causal inference, forecasting, modeling, or risk analytics in high-stakes domains
Deep strength in sampling, inference, probability sampling, time series data, backtesting, parametric/non-parametric modeling approaches, and imputation, and uncertainty for rare-event estimation; comfort with time-varying metrics and survival analysis
Write strong Python and SQL; fluent with modern warehouses and notebook-to-production workflows
Communicate crisply to executives and engineers
Experience in integrity/fraud/safety or adjacent high-stakes analytics; have led multiple complex workstreams and mentored senior peers
Experience in managing data scientists, quantitative analysts or similar
Balance near-term execution with long-term vision; raise analytical standards and create clarity across teams
Bonus: Familiarity with Airflow

Responsibilities

Define the measurement and forecasting strategy and operating model; align policy-grounded definitions, governance, and quality bars across partners
Build user-level baselines and confidence intervals for rare-event harms using principled sampling and inference; institute stability and drift checks
Ship executive-grade reporting: dashboard tiles, weekly 1-pagers, monthly deep dives, and launch/post-launch readouts that drive action
Implement mitigation attribution and change-tracking; back-test launches and connect outcomes to specific interventions and external events
Own data interfaces and SLOs across DS schemas; ensure privacy-by-design data paths and auditable method notes
Build automated systems and pipelines to clean and organize unstructured data from disparate sources
Act as the single analytics entry point with cross-functional partners across Safety Systems, Data Science, Integrity, Product, and Policy teams; resolve definitions, standards, and timelines
Build and lead the team; mentor experienced ICs; foster an inclusive, principled, high-standards culture

Skills

Key technologies and capabilities for this role

Statistical InferenceSampling MethodsQuantitative ForecastingConfidence IntervalsDrift DetectionDashboard DevelopmentAttribution ModelingBack-TestingSLO ManagementPrivacy by DesignData Schemas

Questions & Answers

Common questions about this position

What is the salary range for this position?

The salary range is $325K - $405K.

Is this role remote or based in an office?

This role is based in San Francisco, CA (hybrid, 3 days/week) with relocation support available.

What skills and experience are required for this role?

Candidates need 7+ years in data science, measurement/causal inference, forecasting, or risk analytics; deep expertise in sampling, inference, time series, backtesting, modeling, and uncertainty estimation for rare events; and strong Python and SQL skills with modern data workflows.

What is the team culture like?

The role involves building and leading the team, mentoring experienced ICs, and fostering an inclusive, principled, high-standards culture.

What makes a strong candidate for this role?

Strong candidates have 7+ years in high-stakes data science or risk analytics, expertise in advanced statistical methods like sampling and time series, Python/SQL proficiency, and experience communicating to executives in integrity/safety domains.

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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