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Applied Data Scientist, Unit Economics Understanding

OpenAISan Francisco
Hybrid Full-time

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Experience Level

Mid to Senior

Qualifications

Advanced degree in Data Science, Economics, Statistics, or a related field. Proven experience in causal inference, predictive analytics, and customer lifetime value modeling. Strong proficiency in Python, SQL, and statistical analysis tools. Excellent communication skills with the ability to present complex information clearly to non-technical stakeholders. Experience in a high-growth technology environment is a plus.

About the job

About the Position
Join OpenAI as an Applied Data Scientist, focusing on the critical analysis of unit economics to drive sustainable growth and establish the company as a leader in impactful innovation.

In this role, you will spearhead the creation of advanced causal inference and data science models aimed at predicting and quantifying customer lifetime value (LTV). Your ability to translate complex data insights into strategic recommendations will be crucial for guiding our growth initiatives. This position demands a blend of technical expertise and executive communication skills.

This opportunity is based at our San Francisco headquarters, with a flexible hybrid work model (three days in the office per week). Relocation assistance is provided.

Your Vision

  • Develop robust causal inference and predictive analytics capabilities to assess and forecast LTV across various customer segments (B2C and B2B), and measure the incremental effects of diverse actions or product features on customer LTV.

  • Craft customer “happy paths” by identifying optimal adoption journeys that maximize lifetime value while ensuring customers derive the full benefits from our ecosystem.

  • Evaluate price elasticity to inform product packaging, monetization strategies, and pricing models.

Your Responsibilities

  • Collaborate with cross-functional teams (Finance, Product, Data Engineering, Go-to-Market, and other Data Science teams) to develop causal inference and predictive models that influence key business decisions.

  • Design and maintain LTV models across various product lines and customer cohorts.

  • Create scalable frameworks and models that make economic insights accessible to leadership and functional teams.

  • Support strategic pricing and investment decisions with thorough analytical and causal evidence.

  • Lead cross-functional data science initiatives, ensuring analytical precision, clarity, and timely execution.

Ideal Candidate Profile

  • Exceptional executive communication skills — ability to simplify complex analyses into clear, actionable insights for leadership.

  • Technical proficiency — expertise in ROI analysis, causal inference, statistical modeling, and ML predictive models; strong command of Python and SQL.

  • Strategic acumen — capacity to connect analytical insights to tangible business outcomes, providing the “so what” that drives leadership decisions.

About OpenAI

OpenAI is a pioneering artificial intelligence research organization dedicated to developing safe and beneficial AI technologies. With a mission to ensure that artificial general intelligence (AGI) benefits all of humanity, OpenAI fosters an innovative and collaborative work environment where talented individuals can contribute to transformative projects that shape the future.

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