Data Scientist, Time Series Forecasting 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

Artificial Intelligence, TechnologyIndustries

Requirements

MS or PhD in a quantitative field
7+ years of experience in a highly quantitative role
Expertise in time series forecasting models (including understanding trade-offs and scalability)
Proficiency in Python, SQL, Tableau, and other analytical tools
Strong analytical skills with experience working with large, complex datasets
Ability to distill complex data into actionable insights for leadership
Independent project initiation and completion
Excellent communication and storytelling skills
Exceptional attention to detail and commitment to accuracy

Responsibilities

Establish yourself as the thought partner on all strategic forecasting initiatives within the company
Lead cross-functional data science projects focusing on revenue, usage, and other core business metrics
Drive the full end-to-end lifecycle of time series forecasting projects, from scoping, methodology development, model building to integrating results into operational workflows
Build scalable, interpretable models for revenue, user growth, LTV, compute consumption, and related dynamics
Become an expert in the company’s data and systems
Partner with Data Engineering, Finance, and other business teams to access and analyze underlying data, deriving actionable insights to inform forecasting models

Skills

Key technologies and capabilities for this role

PythonSQLTableauTime Series ForecastingForecasting ModelsScalable ModelsLarge Datasets

Questions & Answers

Common questions about this position

What is the salary range for this Data Scientist position?

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

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

The role is hybrid, based in the San Francisco HQ, with a work model of three days in the office per week. Relocation assistance is offered.

What technical skills are required for this role?

Required skills include expertise in time series forecasting models, proficiency in Python, SQL, Tableau, and other analytical tools, and strong analytical skills with large, complex datasets.

What team and work environment can I expect in this role?

This is a founding member role on the Strategic Finance Data Science team, focusing on Time Series Forecasting, with collaboration across Finance, Product, Engineering, and Go-To-Market teams.

What makes a strong candidate for this Data Scientist position?

Strong candidates have an MS or PhD in a quantitative field, 7+ years in a highly quantitative role, expertise in time series forecasting, proficiency in Python/SQL/Tableau, and soft skills like distilling insights for leadership and excellent communication.

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