We’re seeking an
Data Scientist & Analytics Engineer to help us succeed in building high-quality products.
This role focuses on modeling, diagnostics, and insight generation during prototyping and validation builds—when failure modes are uncertain, system variation is high, and confidence must be earned.
You’ll develop analytics and ML systems that highlight inefficiencies, explain yield, assist with failure analysis, and uncover any other blind spots. Your work will support critical decisions by enabling high-trust visibility into performance, yield, reliability, and early SPC signals. You’ll work side-by-side with hardware, test, reliability, and manufacturing teams to debug the factory as a system—before scale amplifies its faults.
In This Role, You Will
- Build pipelines and models that track yield, Gage R&R, test escapes, and other anomalies across prototype and validation hardware builds
- Develop tools for interactive root cause analysis, station diagnostics, and statistical correlation across attributes
- Enable early SPC workflows and process capability analysis (e.g. Cp/Cpk) for new lines, stations, and SKUs
- Automate commonality, slot, and shift-level comparisons to isolate sources of instability or inefficiency
- Integrate with test and factory software to ensure that data collected is analysis-ready, interpretable, and traceable
- Contribute to dashboards and visuals that accelerate business insights, enable R&D decisions, and perfect design iterations
You might thrive in this role if you
- Experience in ML, analytics, or data science, ideally in a hardware or manufacturing setting
- Understand factory data deeply: yield curves, SPC, GR&R, measurement variation, slot/fixture/station noise
- Are fluent in Python and SQL, with experience building pipelines (ELT, ETL) and diagnostic workflows in production data systems
- Know how to extract insight from messy time-series and component-level data across test and process domains
- Are comfortable presenting failure mode hypotheses to engineers and go/no-go summaries to executives
Your work will drive clarity when hardware and factory systems come online for the first time.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Range: $405K
