Senior Data Scientist

Snowflake; Menlo Park (CA); On-site; USD 156,000 - 224,200; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) retirement plan

Flexible spending & health savings account

Paid holidays and time off

Parental leave

Employee assistance program

Job summary

A leading cloud data platform provider is seeking a Senior Data Scientist located in Menlo Park, California. In this role, you'll lead high-impact modeling initiatives and develop production-ready forecasting systems. Candidates should have an advanced degree and 8+ years experience in machine learning and statistical systems, with a strong emphasis on time-series modeling. The position offers competitive pay and a robust benefits package, making it ideal for those who are innovative and collaborative.

Qualifications

• 8+ years of experience building and deploying production-grade machine learning or statistical systems.
• Deep expertise in probabilistic modeling, forecasting methodologies, and model evaluation techniques.
• Demonstrated ability to lead technically ambiguous projects.

Responsibilities

• Design and implement advanced time-series and probabilistic models.
• Contribute to internal tooling and shared infrastructure for scalable forecasting.
• Partner with Finance, Product, and Sales teams to quantify business drivers.

Skills

Probabilistic modeling

Machine learning

Statistical analysis

Python proficiency

SQL fluency

Time-series modeling

Education

Advanced degree in a quantitative discipline

Tools

Snowflake

BigQuery

Redshift

Spark

Job description

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 machine learning 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.

Qualifications

• 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 machine learning 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

Compensation

• The estimated base salary range for this role is $156,000 - $224,200.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

This role is also eligible for a competitive benefits package that includes medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.