Data Scientist, Strategic Finance at OpenAI

San Francisco, California, United States

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$255,000 – $405,000Compensation

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

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

MS or PhD in a quantitative field
7+ years of experience in a highly quantitative role
Proficiency in Python, SQL, Tableau, and other analytical tools
Strong analytical skills and experience working with large, complex data sets
Proven ability to distill complex data into actionable insights for leadership
Ability to independently initiate and complete projects, owning them end-to-end
Excellent communication and storytelling skills

Responsibilities

Become an expert in OpenAI’s data and systems
Partner with Data Engineering, Finance, and other teams to self-serve data and derive critical insights
Build time series predictive models to forecast revenue, user growth, LTV, compute consumption, and their underlying drivers
Scale causal inference models to measure the impact of different actions on user growth and financial outcomes
Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value
Automate standardized reporting and analysis by building data products or agentic solutions
Support product pricing and other business decisions with ad hoc analysis
Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making
Manage and lead cross-functional data science projects end-to-end

Skills

Key technologies and capabilities for this role

PythonSQLTableauPredictive ModelingCausal InferenceTime Series ForecastingCustomer SegmentationData VisualizationDashboard Design

Questions & Answers

Common questions about this position

What is the salary range for this Data Scientist role?

The salary range is $255K - $405K.

Is this position remote or hybrid, and what's the office requirement?

This is a hybrid role based in OpenAI's San Francisco HQ, requiring three days in the office per week, with relocation assistance offered to new employees.

What skills and experience are required for this position?

Requirements include an MS or PhD in a quantitative field, 7+ years in a highly quantitative role, proficiency in Python, SQL, Tableau, and other analytical tools, strong analytical skills with large datasets, and excellent communication skills.

What is the team and company culture like at OpenAI for this role?

The Strategic Finance Data Science team handles large investment categories, partnering cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to maximize long-term value through actionable insights in a fast-paced, dynamic environment.

What makes a strong candidate for this Data Scientist position?

Strong candidates are enthusiastic self-starters with first-principles thinking, who can independently own projects end-to-end, distill complex data into actionable insights for leadership, and demonstrate excellent teamwork and communication skills, with passion for AI as a plus.

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