数据科学家，B2B需求生成，增长与度量
Data Scientist, B2B Demand Generation, Growth & Measurement
职位描述：数据科学家，B2B需求生成，增长与度量
职位简介
我们正在招聘一名数据科学家，负责B2B营销需求生成的度量、实验和决策科学。你将帮助我们了解哪些营销投入能带来增量需求、合格线索和收入，并如何高效地扩展。
我们的任务是建立一个严谨的全漏斗视角，了解B2B营销如何产生需求，并推动潜在客户从认知和参与转化为合格机会、成交收入和扩展。你将塑造我们如何衡量营销影响并跨渠道、活动、受众和客户细分进行影响。
在这个职位上，你将与B2B营销、需求生成、增长、销售、营收运营（RevOps）和财务部门紧密合作，将营销活动与合格线索、客户获取和高效收入增长联系起来。
你将负责的工作
- 为B2B需求生成定义核心指标、领先指标和基准指标，包括客户参与度、合格线索和机会、来源和影响的线索、转化率、线索速度和增量ARR。
- 在渠道和活动上设计和执行度量和实验策略，使用随机测试、受众或地理保留组、提升研究、准实验方法和其他适合长B2B销售周期的因果方法。
- 分析渠道、受众、活动、创意、内容、落地页和客户细分的表现，以识别合格需求、漏斗转化、线索质量和增量收入的驱动因素。
- 与营销、销售、营收运营（RevOps）、财务、产品和工程团队合作，改进仪器化、活动分类法、CRM数据质量、线索到客户匹配，以及基于度量洞察采取行动的操作节奏。
- 构建AI原生的度量和决策支持工作流，利用大语言模型（LLMs）和代理来综合活动表现，揭示增长机会，并帮助营销人员在大规模上根据证据采取行动。
我们寻找的人选
- 10年以上定量角色经验，如数据科学、B2B需求生成营销科学、增长分析、决策科学，有支持B2B营销、需求生成、线索增长或企业及中小型企业市场进入策略的实际经验。
- 在实验、因果推断和应用统计学方面有深厚的专业知识，包括增量测试和针对多阶段B2B销售周期的度量策略。
查看英文原文
Job Description: Data Scientist, B2B Demand Generation, Growth & Measurement
About the Role
We are hiring a Data Scientist to lead measurement, experimentation, and decision science for B2B marketing demand generation. You will help us understand which marketing investments create incremental demand, qualified pipeline, and revenue and how to scale them efficiently.
Our mandate is to build a rigorous, full-funnel view of how B2B marketing creates demand and moves prospects from awareness and engagement to qualified opportunities, closed-won revenue, and expansion. You will shape how we measure marketing impact and influence across channels, campaigns, audiences, and account segments.
In this role, you will partner closely with B2B Marketing, Demand Generation, Growth, Sales, RevOps, Finance to connect marketing activity to qualified pipeline, customer acquisition, and efficient revenue growth.
What You’ll Do
- Define north-star, leading, and guardrail metrics for B2B demand generation, including account engagement, qualified leads and opportunities, sourced and influenced pipeline, conversion rates, pipeline velocity, and incremental ARR.
- Design and execute measurement and experimentation strategies across channels and campaigns, using randomized tests, audience or geographic holdouts, lift studies, quasi-experimental methods, and other causal approaches suited to long B2B sales cycles.
- Analyze channel, audience, campaign, creative, content, landing-page, and account-segment performance to identify the drivers of qualified demand, funnel conversion, pipeline quality, and incremental revenue.
- Partner with Marketing, Sales, RevOps, Finance, Product, and Engineering to improve instrumentation, campaign taxonomy, CRM data quality, lead-to-account matching, and the operating cadence for acting on measurement insights.
- Build AI-native measurement and decision-support workflows, using LLMs and agents to synthesize campaign performance, surface growth opportunities, and help marketers act on evidence at scale.
What We’re Looking For
- 10+ years in a quantitative role such as Data Science, B2B Demand Gen Marketing Science, Growth Analytics, Decision Science, with meaningful experience supporting B2B marketing, demand generation, pipeline growth, or enterprise and SMB go-to-market motions.
- Deep expertise in experimentation, causal inference, and applied statistics, including incrementality testing and measurement strategies for multi-touch marketing journeys, limited observability, and long or heterogeneous sales cycles.
- Strong technical fluency in SQL and Python, with experience joining and analyzing marketing-platform, web analytics, product, CRM, account, opportunity, and revenue data to produce reliable business insights.
- Proven ability to translate analysis into marketing decisions, including channel and audience prioritization, campaign optimization, funnel improvements, budget allocation, forecasting, and go-to-market strategy.
- Strong business judgment and a bias toward action.
- Strong understanding of B2B funnel mechanics, account-based buying journeys, sales handoffs, lead and opportunity qualification, attribution tradeoffs, instrumentation, and the relationship between marketing investment, pipeline, and revenue.
- Excellent communication and cross-functional partnership. You can influence marketers, sales and finance leaders, data scientists, product managers, and engineers with clear recommendations, credible evidence, and transparent tradeoffs.
- AI-native mindset and hands-on experience using LLMs, agents, and modern AI tools to automate analysis, accelerate experimentation, and build scalable decision-support workflows.
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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.
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