Applied Data Science & Machine Learning Leader - Global Forecasting at OpenAI

San Francisco, California, United States

Apply Now

$405,000 – $490,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Extensive experience building production-ready models for time series applications
Proven track record of building adjustable and explainable forecast models for multiple planning cycles
10+ years of applied data science & engineering experience, with deep hands-on expertise in forecasting and predictive modeling
Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments
Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders
Team leadership experience with a track record of building high-performing, engaged teams
An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research)
A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1
The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it takes to succeed
Experience building or scaling forecasting platforms in a high-growth company
A passion for AI and a strong perspective on how machine learning should inform strategy

Responsibilities

Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale
Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders
Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making
Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions
Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability
Research and evaluate emerging tools and techniques in the forecasting space
Translate technical outputs into business-aligned recommendations and decision frameworks

Skills

Key technologies and capabilities for this role

Data ScienceMachine LearningForecastingStatistical ModelingML EngineeringTime SeriesProduction SystemsEconomic Modeling

Questions & Answers

Common questions about this position

What is the salary range for this position?

The salary range is $405K - $490K.

Is this role remote or based in an office?

This role is based in San Francisco, CA, with a hybrid work model of three days in the office per week. OpenAI offers relocation assistance to new employees.

What skills and experience are required for this role?

Candidates need extensive experience building production-ready models for time series applications and a proven track record of building adjustable and explainable forecasting models. The role demands technical excellence in data science and ML engineering, strong product intuition, business acumen, and the ability to own the end-to-end modeling lifecycle.

What is the team like at OpenAI for this role?

You will build and lead a small but mighty team of applied data scientists and ML engineers within the Strategic Finance team's expanding Data Science function. The team partners closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through forecasting capabilities.

What makes a strong candidate for this Applied Data Science & Machine Learning Leader role?

A strong candidate has extensive experience in production-ready time series forecasting models, a proven track record in building scalable platforms, and excels in cross-functional collaboration with technical excellence, product intuition, and business acumen.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free