Data Scientist, B2B Strategy & Intelligence
- Salary
- $347K - $510K
- Level
- Mid
- Work type
- Hybrid · San Francisco
Not stated in the posting: visa.
Open. First seen 30 September 2026.
About the role
About the Role
We are hiring a Data Scientist to help build OpenAI's B2B ecosystem and go-to-market data science capability. You will turn ambiguous commercial questions into evidence, recommendations, and operating decisions that help OpenAI understand where to focus as our B2B business expands.
OpenAI's B2B motion is growing quickly across products, customer segments, markets, and field teams. This role will partner with leaders across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science to answer questions tied to international strategy, monetization, product penetration, field deployment, customer opportunity, and organizational design.
This is a founding-style opportunity within the broader GTM Data Science organization. The team and stakeholder model are still evolving, so you should be energized by building structure in ambiguity, helping define how the team works, and helping shape the bench around a high-priority commercial area.
In this role, you will bring data science craft, consulting-style problem solving, practical AI fluency, and strong business judgment to help senior leaders make better B2B decisions.
In this role, you will:
- Structure ambiguous B2B and go-to-market questions into clear operational plans, identifying the decision at stake, the evidence needed, and how insights will translate into action.
- Lead strategic deep dives across international expansion, monetization, product penetration, customer segmentation, field deployment, ecosystem dynamics, and organizational design.
- Analyze product usage, customer behavior, adoption patterns, sales and field activity, pipeline and revenue signals, and market context to identify the drivers of B2B growth.
- Partner closely with GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science leaders to turn analysis into prioritization decisions, field plays, investment choices, and operating cadences.
- Communicate complex findings to executives and cross-functional partners with crisp recommendations, transparent assumptions, and clear tradeoffs.
- Bring practical AI fluency to the work, using modern AI tools to accelerate analysis, synthesize evidence, improve workflows, and identify new ways data science can support business decision-making.
- Help define the operating model for an emerging B2B data science capability, including how the team frames problems, engages stakeholders, evaluates opportunities, and turns insights into GTM action.
You might thrive in this role if you have:
- Senior-level experience in a quantitative role such as Data Science, Product Analytics, Decision Science, Growth Analytics, Strategy Analytics, or a related field.
- Strong business judgment and a track record of translating ambiguous analytical work into decisions that business leaders can act on.
- Experience working on B2B,, GTM or commercial strategy, monetization,, product growth, or similarly complex business problems.
- Strong technical fluency with analytical tools such as SQL and Python, or equivalent experience using data to answer open-ended business questions.
- Ability to connect data across product, customer, sales, revenue, market, and operational contexts to form a coherent view of the business.
- Consulting-style problem solving: you can structure a broad question, identify the highest-leverage analysis, manage uncertainty, and communicate a practical recommendation.
- Excellent executive communication and cross-functional partnership. You can influence senior leaders, field teams, product partners, operators, and other data scientists with clear evidence and balanced judgment.
- Comfort operating in a high-ambiguity, fast-changing environment where the team, roadmap, and stakeholder model are still taking shape.
- Practical AI fluency and curiosity about how modern AI tools can improve analytical workflows, strategic synthesis, and decision support.
- Experience in strategy consulting followed by data science work in technology, or data science work within a consulting analytics practice, is a strong plus.
- An advanced degree is welcome but not required. We care most about your ability to combine analytical rigor, business judgment, and action-oriented communication.
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.
OpenAI's standard text
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.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
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.
What this role asks for
Standard for data science / ML roles
Python · SQL
Common in data science / ML postings at any company.
70% of this description is written for the role. The rest is OpenAI's standard text, folded away below.
Compared with OpenAI's other open jobs.
The team: Data Science HIRES STEADILY
This role is one of 18 open in Data Science. 3 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (18 of 18), SQL (17 of 18), LLM (6 of 18), NLP (4 of 18), Generative AI (3 of 18), Cybersecurity (2 of 18), Machine Learning (2 of 18)
OTHER ROLES ON THIS TEAM
- Product Data Scientist - Youth, Families and Learning posted Oct 20
- Data Scientist, FinEng posted Oct 8
- Analytics Engineer, GTM posted Aug 26
- Data Scientist, Real Estate & Workplace posted Aug 20
- Data Scientist, Cybersecurity posted Aug 17
- Data Scientist, B2B Demand Generation, Growth & Measurement posted Aug 6
- Data Scientist, SMB Ads Growth posted Jul 30
- Data Scientist, Ads Demand posted Jul 30
- Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success posted Jun 11
- Data Scientist, Safety posted May 15
- Data Scientist, Core Experimentation posted May 13
- Data Scientist, Preparedness posted Feb 26
- Data Scientist, Financial Engineering posted Sep 30
- Data Scientist, Codex posted Sep 30
- Data Scientist, Platform and B2B Products posted Sep 30
- Data Scientist, Infrastructure posted Jul 22
- Data Scientist, Product posted Jan 24
From the team and dates on OpenAI's own job board.
See Data Scientist salaries in San Francisco →
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