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GTM Staff Data Scientist
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Snowflake·US-CA-Menlo Park·17 авг.

GTM Staff Data Scientist

≈ от 363 000 ₽наша оценка по вакансиям этой роли и грейда, у работодателя вилка не указана
🏢 ОфисSeniorПолная занятость
Зарплата не указана
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Наша компания

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snow

О роли

You will contribute to high-impact work across sales and marketing: propensity models across the GTM funnel, measuring the causal effect of GTM investments and interventions, and recommending actions for accounts, leads, opportunities, and customers. This role goes beyond developing models. You will define how decision systems are designed, evaluated, productionized, and integrated into the workfl

Чем предстоит заниматься

Set the technical direction for a portfolio of AI & Machine Learning GTM decision systems spanning Sales and Marketing
Develop pipeline forecasting methods that model stage progression, conversion, deal timing
Build account, lead, opportunity, and customer models that identify propensity, risk, potential, and likely next outcomes
Develop recommendation and next-best-action systems that determine where GTM teams should focus, which action to take, and when to take it
Define common standards for point-in-time training, backtesting, calibration, ranking quality, treatment-effect evaluation, uncertainty, and realized business impact
Partner with GTM leaders and RevOps to identify high-value decisions, define interventions, and embed outputs into recurring workflows
Separate genuine customer and market movement from CRM changes, selection effects, territory shifts, instrumentation gaps, and model artifacts
Mentor scientists and raise technical standards across GTM Data Science and its partner teams

Наши требования

Advanced degree in Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science, or a related quantitative field, or equivalent practical experience
5+ years of experience building production-grade statistical or machine learning systems with meaningful business impact
A record of setting technical direction across ambiguous, cross-functional, or multi-team problem spaces
Deep expertise in several relevant areas, such as causal inference, experimentation, forecasting, propensity modeling, uplift modeling, ranking, or recommendation systems
Strong judgment about when to use predictive ML, causal methods, generative AI, or a simpler analytical approach
Experience translating business decisions into measurable objectives, interventions, evaluation designs, and production systems
Strong Python and SQL skills and experience working with large-scale data platforms
Experience operating models with monitoring, validation, versioning, reproducibility, and safe lifecycle management
Ability to work with imperfect CRM, marketing, product, and customer data while making assumptions and limitations explicit
Demonstrated ownership of high-stakes outputs used by business or executive stakeholders
Excellent communication, technical leadership, and cross-functional influence skills

Дополнительно

B2B SaaS, enterprise sales, consumption-based businesses, or account-based GTM motions
Pipeline forecasting, account prioritization, lead or opportunity scoring, expansion, renewal, or churn modeling
Incrementality testing, causal measurement, uplift modeling, or marketing effectiveness
Recommendation systems, next-best-action models, ranking, or decision optimization
LLMs, agents, retrieval systems, or AI-assisted Sales and Marketing workflows
CRM, marketing automation, product telemetry, customer success, and unstructured interaction data
Deploying model outputs into business workflows and measuring adoption and realized impact
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
S
Snowflake
US-CA-Menlo Park

ГрейдSenior
ЗанятостьПолная занятость
РегионНе Россия
ФорматОфис
ИсточникСкрыто
Опубликовано17 авг.
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