高级数据科学家II
Sr. Data Scientist II
在过去的20多年里，Smartsheet 帮助团队无缝管理任务并更智能地扩展解决方案。现在，在我们最雄心勃勃的篇章中，我们正在将人类团队与AI代理结合起来。通过协调代理擅长的工作，自动化手动任务，并在大规模中发现洞察，我们为人们腾出空间，专注于真正重要的事情：判断力、创造力和大想法。这就是工作中的魔法，也是我们每天为之努力的原因。
Smartsheet 正在寻找一位经验丰富的高级数据科学家 II，以构建驱动客户生命周期中增长、变现、效率和留存的机器学习模型和AI子代理。你将从头到尾参与问题定义，使用现代机器学习和深度学习工具包构建模型，设计能够推理和行动的子代理，并将所有内容部署到数百万用户的生产环境中。数据异常丰富：涵盖过去二十年真实工作方式的PB级执行数据。你充满好奇心，技术严谨，能够将复杂的建模和子代理行为转化为对合作伙伴的清晰建议。你将主要与产品和工程团队合作，并成为 Smartsheet 业务智能团队的一员。
这个全职职位最初向位于我们华盛顿州贝尔维尤办公室的首席数据科学官汇报，也可以在美国任何 Smartsheet 注册的地区远程办公。
**你将：**
- 设计并部署跨客户生命周期的AI子代理，结合预测模型、检索上下文和LLM推理来推荐或采取行动
- 构建推动这些子代理的预测性和处方性模型，包括流失风险、增长、采用轨迹、账户健康评分等生命周期相关问题
- 开发子代理推理的数据基础和知识层，应用负责任的聚合和隐私意识设计
- 设计每个子代理使用的工具、检索和根基策略；决定子代理何时应行动、推荐、推迟或升级
- 构建评估框架，确定子代理是否足够好可以部署，并在生产中捕捉退化情况
- 定义子代理部署的指标和实验策略；衡量真实的客户影响，而不仅仅是离线准确率或评估分数
- 与产品、工程和应用AI团队合作，从问题定义到生产部署
- 在产品和工程团队中推动数据和建模文化
查看英文原文
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.
Smartsheet is looking for an experienced Senior Data Scientist II to build the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll work end-to-end framing problems, building models across the modern ML and deep learning toolkit, designing sub-agents that reason and act, and shipping all of it into production for millions of users. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are curious, technically rigorous, and can translate complex modeling and sub-agent behavior into clear recommendations for your partners. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team.
This full-time position initially reports to the VP of Data Science located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.
**You Will:**
- Design and ship AI sub-agents that act across the customer lifecycle, combining predictive models, retrieved context, and LLM reasoning to recommend or take action
- Build the predictive and prescriptive models that power those sub-agents churn risk, growth, adoption trajectories, account health scoring, and similar lifecycle problems
- Develop the data foundations and knowledge layer those sub-agents reason over, applying responsible aggregation and privacy-aware design
- Design the tools, retrieval, and grounding strategies each sub-agent uses; decide when a sub-agent should act, recommend, defer, or escalate
- Build the evaluation harnesses that determine when a sub-agent is good enough to ship and that catch regressions in production
- Define metrics and experimentation strategy for sub-agent rollouts; measure real customer impact, not just offline accuracy or eval scores
- Partner with Product, Engineering, and Applied AI teams from problem framing through production deployment
- Drive a data and modeling culture within Product and Engineering, and mentor other data scientists on the team
**You Have:**
- Bachelor’s degree and 8+ years of experience (or 10+ years of experience); advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar) preferred
- Deep applied ML expertise across both traditional ML and deep learning: gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL
- Strong grasp of causal inference for intervention design and lifecycle modeling: uplift modeling, difference-in-differences, propensity scoring, and synthetic control
- Solid foundation in statistics and experimental design: hypothesis testing, power analysis, multiple comparisons, sequential testing, and quasi-experimental methods
- Hands-on experience taking LLM- and agent-based systems to production: tool use, retrieval, multi-step reasoning, evaluation, and guardrails
- Experience operating ML in production — feature engineering and pipelines, model monitoring, drift detection, retraining cadence, and the trade-offs between batch and real-time serving
- Proficient in SQL and Python; comfort with ML/LLM tooling at scale (Spark, Databricks, Snowflake, or equivalents), ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM), and visualization tools (Tableau or similar)
- Experience modeling the customer lifecycle — churn, expansion, adoption, plan health, lead/account scoring — and business fluency in the SaaS metrics that drive it (NRR, GRR, ARR, and cohort economics)
- A pragmatic production bar: latency, cost, monitoring, drift, hallucination, and what happens when the model or sub-agent is wrong
- Strong track record of forming effective cross-functional partnerships and communicating analysis clearly to technical and executive audiences
- Ability to research and learn new technologies, tools, and methodologies, and to thrive in a dynamic environment — finding opportunities and executing in both independent and collaborative environments
**Current US Perks & Benefits:**
- Employer subsidized medical/vision and dental coverage for full-time employees
- 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
- Monthly stipend to support your work and productivity
- Flexible Time Away Program, plus Sick Time Off
- US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
- US employees receive 12 paid holidays per year
- Up to 24 weeks of Parental Leave
- Personal paid Volunteer Day to support our community
- Opportunities for professional growth and development including access to Udemy online courses
- Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
- Teleworking options from any registered location in the U.S. (role specific)
_Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity._
US Base Salary Pay Range
$155,000—$185,000 USD
**Get to Know Us:**
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
**Equal Opportunity Employer:**
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
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