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职位Snowflake

Senior Data Scientist

Snowflake

Senior Data Scientist

Snowflake

US-CA-Menlo Park

·

On-site

·

Full-time

·

4w ago

必备技能

Python

SQL

Spark

Machine Learning

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

About the Team:

The Finance Data Science team owns the forecasting systems that power Snowflake’s revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates.

The Role:

As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models.

What You’ll Do:

  • Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting).

  • Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics.

  • Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulation.

  • Apply advanced statistical and ML techniques to model customer behavior, product adoption, revenue dynamics, and cost trends.

  • Drive improvements in automation, monitoring, drift detection, and lifecycle management of forecasting models.

  • Partner with Finance, Product, and Sales teams to quantify the impact of new initiatives and understand key business drivers.

  • Mentor and provide technical guidance to other data scientists; raise the bar for modeling rigor and production quality across the team.

  • What We’re Looking For

  • Advanced degree in a quantitative discipline (Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science) or equivalent practical experience.

  • 8+ years of experience building and deploying production-grade ML or statistical systems, with significant experience in time-series modeling.

  • Deep expertise in probabilistic modeling, forecasting methodologies, and model evaluation techniques.

  • Strong proficiency in Python and the scientific Python ecosystem; fluency in SQL.

  • Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark).

  • Demonstrated ability to lead technically ambiguous projects with significant business impact.

  • Excellent communication skills, with experience presenting complex quantitative findings to executive stakeholders.

  • A track record of elevating technical standards and mentoring other scientists.

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 http://careers.snowflake.com

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关于Snowflake

Snowflake

Snowflake

Public

snowflake provides web applications and web hosting services.

1-50

员工数

Zürich

总部位置

$70B

企业估值

评价

3.9

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

4.0

职业发展

3.4

管理层

3.1

72%

推荐给朋友

优点

Innovative and cutting-edge technology

Supportive team and colleagues

Good benefits and compensation

缺点

Fast-paced and high-pressure environment

Heavy workload and long hours

Management and communication issues

薪资范围

2,063个数据点

Junior/L3

L3

L4

L5

L6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist

277份报告

$252,858

年薪总额

基本工资

$171,306

股票

$57,741

奖金

$23,811

$190,229

$354,557

面试经验

6次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Online Assessment

3

Technical Phone Screen

4

Technical Interview

5

Final Interview Round

常见问题

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR