Build the future of the AI Data Cloud. Join the Snowflake team.

The Product Data Science team is looking for a Principal Full-stack Data Scientist to come aboard and be part of some of the foundational areas at Snowflake. In this role, you will work closely with our Product and Engineering teams on core operations and data privacy, security, and governance domains. You will also work on long-running analytical initiatives that will yield substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.

AS A PRINCIPAL FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:

Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.
Architect efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.
Build scalable and extensible analytics/ML frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.
Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.
Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.
Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.
Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.
Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.
OUR IDEAL CANDIDATE WILL HAVE:
MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).
12+ years of relevant data science or related experience.
Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.
Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).
High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.
The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

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?

Build the future of the AI Data Cloud. Join the Snowflake team. The Product Data Science team is looking for a Principal Full-stack Data Scientist to come aboard and be part of some of the foundational areas at Snowflake. In this role, you will work closely with our Product and Engineering teams on bringing insights to the massive amount of data. You will also work on long-running analytical initiatives that will yield substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services. AS A PRINCIPAL FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL: Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.
Architect efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.
Build scalable and extensible analytics/ML frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.
Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.
Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.
Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.
Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.
OUR IDEAL CANDIDATE WILL HAVE:
MS/Ph.D. in quantitative discipline (CS, Data Science, Engineering, Statistics, or Math)
12+ years of relevant data science or related experience.
Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.
Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).
Experience with cloud databases, such as Snowflake, Redshift, BigQuery, Vertica, etc. is a plus
Working closely with the engineering and product management teams
The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.
WHY JOIN OUR TEAM AT SNOWFLAKE? Joining our team at Snowflake means being part of a dynamic, innovative and a fast-paced environment where your work directly contributes to the future of the Data Cloud. You'll have the opportunity to work with some of the brightest data scientists, engineers and product leaders in the industry, access cutting-edge technologies, and shape products that redefine how businesses leverage data. At Snowflake, we foster a culture of learning, collaboration, and growth, where your ideas and contributions are valued and supported. 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? Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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?

Build the future of the AI Data Cloud. Join the Snowflake team. The Product Data Science team is looking for a Principal Full-stack Data Scientist to come aboard and be part of some of the foundational areas at Snowflake. In this role, you will work closely with our Product and Engineering teams on bringing insights to the massive amount of data. You will also work on long-running analytical initiatives that will yield substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services. AS A PRINCIPAL FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL: <ul> <li>Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness. </li><li>Architect efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry. </li><li>Build scalable and extensible analytics/ML frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience. </li><li>Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact. </li><li>Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers. </li><li>Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications. </li><li>Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems. </li></ul>OUR IDEAL CANDIDATE WILL HAVE: <ul> <li>MS/Ph.D. in quantitative discipline (CS, Data Science, Engineering, Statistics, or Math) </li><li>12+ years of relevant data science or related experience. </li><li>Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas. </li><li>Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data). </li><li>Experience with cloud databases, such as Snowflake, Redshift, BigQuery, Vertica, etc. is a plus </li><li>Working closely with the engineering and product management teams </li><li>The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area. </li></ul>WHY JOIN OUR TEAM AT SNOWFLAKE? Joining our team at Snowflake means being part of a dynamic, innovative and a fast-paced environment where your work directly contributes to the future of the Data Cloud. You'll have the opportunity to work with some of the brightest data scientists, engineers and product leaders in the industry, access cutting-edge technologies, and shape products that redefine how businesses leverage data. At Snowflake, we foster a culture of learning, collaboration, and growth, where your ideas and contributions are valued and supported. 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? Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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?

Build the future of the AI Data Cloud. Join the Snowflake team. The Product Data Science team is looking for a Principal Full-stack Data Scientist to come aboard and be part of some of the foundational areas at Snowflake. In this role, you will work closely with our Product and Engineering teams on core operations and data privacy, security, and governance domains. You will also work on long-running analytical initiatives that will yield substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services. AS A PRINCIPAL FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL: <ul> <li>Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness. </li><li>Architect efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry. </li><li>Build scalable and extensible analytics/ML frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience. </li><li>Be an early adopter/pro user of Snowflake features and provide feedback on design parameters. </li><li>Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact. </li><li>Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers. </li><li>Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications. </li><li>Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems. </li></ul>OUR IDEAL CANDIDATE WILL HAVE: <ul> <li>MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS). </li><li>12+ years of relevant data science or related experience. </li><li>Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas. </li><li>Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data). </li><li>High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc. </li><li>Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions. </li><li>The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area. </li></ul> Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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?

Build the future of data. Join the Snowflake team. We're growing and looking for a talented Senior Data Scientist, to come aboard and join our Data Science team in Finance. Our team develops, operationalizes, and maintains the ML-based forecasting models for some of Snowflake's core financial metrics. Our work product informs many facets of corporate planning and is heavily used by teams inside and outside of Finance, as well as by executive management, the board, and in external reporting to our investors. Our team also works closely with Product to assess the financial impacts of new product features, with Sales to understand and predict customer behavior, and develops and applies anomaly detection algorithms to cost and revenue data. We are looking for someone who has significant experience employing ML algorithms on time series data and is both equally at home conducting applied research as well as implementing and operationalizing their ideas to meet business driven timelines. As Finance touches on all aspects of the business, you should have a desire to learn about customer behavior and the important drivers of various departments. AS A SENIOR DATA SCIENTIST AT SNOWFLAKE, YOU WILL : Work with time-series datasets to refine and extend the core forecasting models and algorithms we use for many of our key financial metrics
Develop and refine ML models that are critical to Snowflake's business
Identify and build solutions for operational use cases in forecasting -e.g. further automation, system monitoring and alerting, outlier detection, etc.
Generate insights into drivers of our business leveraging statistical methods and participate in extending and developing internal tools used for this purpose
Think creatively to find optimal solutions to our complex, typically unstructured problems.
OUR PREFERRED CANDIDATE WILL HAVE :
MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
Extensive experience building production-ready ML models for time series applications
Experience conducting open-ended research projects and literature reviews
5-7+ years of experience with Python and familiarity with SQL
Experience working with large-scale machine-generated data (e.g., log, application, or customer-usage data).
Hands-on experience with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
Ability to clearly present learnings to business leaders and technical stakeholders.
The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Build the future of data. Join the Snowflake team. We're growing and looking for a talented Senior Data Scientist, to come aboard and join our Data Science team in Finance. Our team develops, operationalizes, and maintains the ML-based forecasting models for some of Snowflake's core financial metrics. Our work product informs many facets of corporate planning and is heavily used by teams inside and outside of Finance, as well as by executive management, the board, and in external reporting to our investors. Our team also works closely with Product to assess the financial impacts of new product features, with Sales to understand and predict customer behavior, and develops and applies anomaly detection algorithms to cost and revenue data. We are looking for someone who has significant experience employing ML algorithms on time series data and is both equally at home conducting applied research as well as implementing and operationalizing their ideas to meet business driven timelines. As Finance touches on all aspects of the business, you should have a desire to learn about customer behavior and the important drivers of various departments. AS A SENIOR DATA SCIENTIST AT SNOWFLAKE, YOU WILL : <ul><li>Work with time-series datasets to refine and extend the core forecasting models and algorithms we use for many of our key financial metrics </li><li>Develop and refine ML models that are critical to Snowflake's business </li> <li>Identify and build solutions for operational use cases in forecasting -e.g. further automation, system monitoring and alerting, outlier detection, etc. </li><li>Generate insights into drivers of our business leveraging statistical methods and participate in extending and developing internal tools used for this purpose </li><li>Think creatively to find optimal solutions to our complex, typically unstructured problems. </li></ul>OUR PREFERRED CANDIDATE WILL HAVE : <ul> <li>MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS) </li><li>Extensive experience building production-ready ML models for time series applications </li><li>Experience conducting open-ended research projects and literature reviews </li> <li>5-7+ years of experience with Python and familiarity with SQL </li> <li>Experience working with large-scale machine-generated data (e.g., log, application, or customer-usage data). </li><li>Hands-on experience with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc. </li><li>Ability to clearly present learnings to business leaders and technical stakeholders. </li><li>The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. </li></ul> Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Build the future of the AI Data Cloud. Join the Snowflake team.
We're growing and looking for a talented Senior Data Scientist, to come aboard and join our Data Science team in Finance. Our team develops, operationalizes, and maintains the ML-based forecasting models for some of Snowflake's core financial metrics. Our work product informs many facets of corporate planning and is heavily used by teams inside and outside of Finance, as well as by executive management, the board, and in external reporting to our investors. Our team also works closely with Product to assess the financial impacts of new product features, with Sales to understand and predict customer behavior, and develops and applies anomaly detection algorithms to cost and revenue data.
We are looking for someone who has significant experience employing ML algorithms on time series data and is both equally at home conducting applied research as well as implementing and operationalizing their ideas to meet business driven timelines. As Finance touches on all aspects of the business, you should have a desire to learn about customer behavior and the important drivers of various departments.
AS A SENIOR DATA SCIENTIST AT SNOWFLAKE, YOU WILL :     Work with time-series datasets to refine and extend the core forecasting models and algorithms we use for many of our key financial metrics

Develop and refine ML models that are critical to Snowflake's business

Identify and build solutions for operational use cases in forecasting -e.g. further automation, system monitoring and alerting, outlier detection, etc.

Generate insights into drivers of our business leveraging statistical methods and participate in extending and developing internal tools used for this purpose

Think creatively to find optimal solutions to our complex, typically unstructured problems.

OUR PREFERRED CANDIDATE WILL HAVE:     MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)

Extensive experience building production-ready ML models for time series applications

Experience conducting open-ended research projects and literature reviews

5-7+ years of experience with Python and familiarity with SQL

Experience working with large-scale machine-generated data (e.g., log, application, or customer-usage data).

Hands-on experience with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.

Ability to clearly present learnings to business leaders and technical stakeholders.

The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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?
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is $173,000 - $264,500.
Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.
The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. 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.
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?

Build the future of the AI Data Cloud. Join the Snowflake team.
The Product Data Science team is looking for a Principal Full-stack Data Scientist to come aboard and be part of some of the foundational areas at Snowflake. In this role, you will work closely with our Product and Engineering teams on bringing insights to the massive amount of data. You will also work on long-running analytical initiatives that will yield substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.
AS A PRINCIPAL FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:     Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.

Architect efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.

Build scalable and extensible analytics/ML frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.

Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.

Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.

Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.

Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.

OUR IDEAL CANDIDATE WILL HAVE:     MS/Ph.D. in quantitative discipline (CS, Data Science, Engineering, Statistics, or Math)

12+ years of relevant data science or related experience.

Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.

Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).

Experience with cloud databases, such as Snowflake, Redshift, BigQuery, Vertica, etc. is a plus

Working closely with the engineering and product management teams

The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.

WHY JOIN OUR TEAM AT SNOWFLAKE?  Joining our team at Snowflake means being part of a dynamic, innovative and a fast-paced environment where your work directly contributes to the future of the Data Cloud. You'll have the opportunity to work with some of the brightest data scientists, engineers and product leaders in the industry, access cutting-edge technologies, and shape products that redefine how businesses leverage data. At Snowflake, we foster a culture of learning, collaboration, and growth, where your ideas and contributions are valued and supported.
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?
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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?
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is $180,000 - $276,000.
Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.
The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. 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.
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?

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