Resume and JobRESUME AND JOB
Snowflake logo

Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now!

Snowflake

Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now!

full-timePosted: Aug 27, 2025

Job Description

Senior Data Scientist - Product at Snowflake: Shape the Future of Data

Are you a seasoned data scientist passionate about product innovation and leveraging data to drive strategic decisions? Do you thrive in a fast-paced environment where you can directly impact the future of a leading technology company? If so, Snowflake is looking for a Senior Data Scientist to join our Product team in Menlo Park, CA.

Role Overview

As a Senior Data Scientist on the Product team, you will be a critical partner to Product Management and Engineering, shaping feature roadmaps and influencing the direction of Snowflake's products. You will be responsible for building data models, production pipelines, and scalable analytical frameworks to uncover insights that enhance customer experience and drive business growth.

This is a high-impact role that requires a blend of technical expertise, business acumen, and communication skills. You will be expected to think creatively, solve complex problems, and communicate your findings effectively to both technical and non-technical audiences.

A Day in the Life

Here's a glimpse into what your day-to-day might look like:

  • Collaborate with Product Managers and Engineers to define metrics and analytical workflows for evaluating new features.
  • Design and build efficient data models and high-quality production pipelines to capture and process relevant data.
  • Develop scalable analytics, machine learning, and causal inference frameworks to understand feature usage, identify potential issues, and discover opportunities for improvement.
  • Conduct in-depth analyses of customer usage data to uncover patterns, trends, and insights that inform product decisions.
  • Communicate your findings through compelling data visualizations and presentations, tailoring your message to different audiences.
  • Work with Engineering to implement necessary telemetry and ensure data quality.
  • Contribute to industry reports and publications, showcasing Snowflake's thought leadership in the data space.
  • Answer ad-hoc questions from the executive team for board reporting and strategic decision-making.

Why Menlo Park, CA?

Menlo Park is at the heart of Silicon Valley, a global hub of innovation and technology. Being located here offers several advantages:

  • Access to Talent: Menlo Park boasts a highly skilled workforce with expertise in data science, engineering, and product management.
  • Networking Opportunities: You'll be surrounded by other tech companies, startups, and venture capitalists, providing ample opportunities for networking and collaboration.
  • Innovation Ecosystem: The area is a hotbed of innovation, with cutting-edge research being conducted at nearby universities and research institutions.
  • Quality of Life: While demanding, Menlo Park offers a high quality of life with access to beautiful parks, outdoor activities, and a vibrant cultural scene.

Career Path

Snowflake is committed to providing its employees with opportunities for growth and development. As a Senior Data Scientist, you can advance your career in several directions:

  • Principal Data Scientist: Lead complex data science projects and mentor junior data scientists.
  • Data Science Manager: Manage a team of data scientists, providing technical leadership and guidance.
  • Product Manager: Leverage your data science expertise to drive product strategy and roadmap development.
  • Technical Lead: Become a technical expert in a specific area of data science or machine learning.

Salary and Benefits

Snowflake offers a competitive salary and benefits package, commensurate with experience and qualifications. The estimated salary range for this position is $140,000 - $250,000 annually. In addition to salary, Snowflake provides a comprehensive benefits package that includes:

  • Health Insurance: Medical, dental, and vision coverage for employees and their dependents.
  • Paid Time Off: Generous vacation, sick leave, and holiday time.
  • Stock Options: Opportunity to own equity in the company.
  • Retirement Plan: 401(k) with company match.
  • Employee Assistance Program: Confidential counseling and support services.
  • Professional Development: Opportunities to attend conferences, workshops, and training programs.
  • Wellness Programs: Resources to support your physical and mental well-being.
  • Commuter Benefits: Assistance with transportation costs.
  • Parental Leave: Paid time off for new parents.
  • Flexible Work Arrangements: Options for remote work and flexible hours.

A Culture of Innovation

Snowflake is a company built on innovation. We are constantly pushing the boundaries of what's possible in data warehousing and cloud computing. As a member of the Product Data Science team, you will be encouraged to think creatively, experiment with new technologies, and challenge the status quo. We value collaboration, open communication, and a willingness to learn from each other.

How to Apply

If you are a passionate data scientist with a desire to make a real impact, we encourage you to apply! Please submit your resume and cover letter through the Snowflake careers website.

Frequently Asked Questions (FAQ)

  1. What is Snowflake's mission? Snowflake's mission is to empower every organization to be data-driven.
  2. What are Snowflake's core values? Snowflake's core values are customer-centricity, innovation, and integrity.
  3. What is it like to work at Snowflake? Snowflake offers a fast-paced, challenging, and rewarding work environment.
  4. What opportunities are there for career growth at Snowflake? Snowflake provides numerous opportunities for career advancement, both within data science and in other areas of the company.
  5. What is Snowflake's approach to diversity and inclusion? Snowflake is committed to creating a diverse and inclusive workplace where everyone feels valued and respected.
  6. What kind of training and development opportunities are available at Snowflake? Snowflake offers a variety of training and development programs to help employees grow their skills and advance their careers.
  7. What is Snowflake's work-life balance like? Snowflake strives to provide a healthy work-life balance for its employees, offering flexible work arrangements and generous time off.
  8. What is Snowflake's culture like? Snowflake has a collaborative, innovative, and results-oriented culture.
  9. What are the benefits of working at Snowflake? Snowflake offers a competitive salary and benefits package, including health insurance, paid time off, stock options, and a 401(k) plan.
  10. How can I learn more about Snowflake? You can learn more about Snowflake by visiting our website, reading our blog, and following us on social media.

Locations

  • Menlo Park, CA, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceintermediate
  • Product Managementintermediate
  • Engineeringintermediate
  • Data Modelingintermediate
  • Production Pipelinesintermediate
  • Telemetryintermediate
  • Analyticsintermediate
  • Machine Learning (ML)intermediate
  • Causal Inferenceintermediate
  • Feature Usage Analysisintermediate
  • Snowflake Featuresintermediate
  • Snowflake Notebookintermediate
  • Snowflake Worksheetintermediate
  • Snowsight Dashboardsintermediate
  • Streamlit Appsintermediate
  • SQLintermediate
  • Pythonintermediate
  • Scikit-learnintermediate
  • Numpyintermediate
  • Pandasintermediate
  • MPP Databasesintermediate
  • Redshiftintermediate
  • BigQueryintermediate
  • Verticaintermediate
  • Data-driven Storytellingintermediate
  • Communicationintermediate
  • Problem-Solvingintermediate
  • Adaptabilityintermediate
  • Collaborationintermediate

Required Qualifications

  • MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS) (experience)
  • 8+ years of relevant data science or related experience (experience)
  • Expert-level experience with SQL & Python (scikit-learn, numpy, pandas) (experience)
  • Expert in working with large-scale machine-generated data (logs, application telemetry, customer usage data) (experience)
  • High fluency with MPP databases (Snowflake, Redshift, BigQuery, Vertica) (experience)
  • Expert data-driven storytelling skills (experience)
  • Ability to thrive in a dynamic environment (experience)

Responsibilities

  • Partner with Product Management and Engineering to shape feature roadmaps.
  • Design metrics and analytical workflows to evaluate feature success.
  • Build efficient data models and high-quality production pipelines.
  • Partner with Engineering for necessary telemetry.
  • Build scalable analytics/ML/causal inference frameworks.
  • Uncover feature usage patterns.
  • Identify subtle issues with the system.
  • Discover potential performance enhancements.
  • Find areas to improve customer experience.
  • Provide feedback on Snowflake feature design parameters.
  • Evaluate the best surface for insight dissemination (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps).
  • Influence decisions and drive initiatives with Product Management and Engineering.
  • Answer questions from the executive team for board reporting.
  • Contribute to industry reports and similar publications.
  • Find optimal solutions to complex, unstructured problems.

Benefits

  • general: Competitive salary
  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Paid time off (vacation, sick leave, holidays)
  • general: Stock options or equity grants
  • general: Retirement plan (401k) with company match
  • general: Employee assistance program (EAP)
  • general: Professional development opportunities
  • general: Wellness programs
  • general: Commuter benefits
  • general: Parental leave
  • general: Flexible work arrangements
  • general: Life insurance
  • general: Disability insurance
  • general: Employee referral program
  • general: Company-sponsored events and activities
  • general: Opportunity for advancement within a rapidly growing company

Target Your Resume for "Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now!" , Snowflake

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now!" , Snowflake

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data ScienceProductMachine LearningSQLPythonCloudSnowflakeProduct Data ScienceMenlo ParkCaliforniaData ScientistData AnalysisData ModelingCloud ComputingData WarehousingBig DataMPP DatabasesRedshiftBigQueryData VisualizationProduct ManagementEngineeringData PipelinesAnalyticsTelemetryCausal InferenceFeature Usage AnalysisData-driven DecisionsCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now! @ Snowflake.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

Snowflake logo

Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now!

Snowflake

Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now!

full-timePosted: Aug 27, 2025

Job Description

Senior Data Scientist - Product at Snowflake: Shape the Future of Data

Are you a seasoned data scientist passionate about product innovation and leveraging data to drive strategic decisions? Do you thrive in a fast-paced environment where you can directly impact the future of a leading technology company? If so, Snowflake is looking for a Senior Data Scientist to join our Product team in Menlo Park, CA.

Role Overview

As a Senior Data Scientist on the Product team, you will be a critical partner to Product Management and Engineering, shaping feature roadmaps and influencing the direction of Snowflake's products. You will be responsible for building data models, production pipelines, and scalable analytical frameworks to uncover insights that enhance customer experience and drive business growth.

This is a high-impact role that requires a blend of technical expertise, business acumen, and communication skills. You will be expected to think creatively, solve complex problems, and communicate your findings effectively to both technical and non-technical audiences.

A Day in the Life

Here's a glimpse into what your day-to-day might look like:

  • Collaborate with Product Managers and Engineers to define metrics and analytical workflows for evaluating new features.
  • Design and build efficient data models and high-quality production pipelines to capture and process relevant data.
  • Develop scalable analytics, machine learning, and causal inference frameworks to understand feature usage, identify potential issues, and discover opportunities for improvement.
  • Conduct in-depth analyses of customer usage data to uncover patterns, trends, and insights that inform product decisions.
  • Communicate your findings through compelling data visualizations and presentations, tailoring your message to different audiences.
  • Work with Engineering to implement necessary telemetry and ensure data quality.
  • Contribute to industry reports and publications, showcasing Snowflake's thought leadership in the data space.
  • Answer ad-hoc questions from the executive team for board reporting and strategic decision-making.

Why Menlo Park, CA?

Menlo Park is at the heart of Silicon Valley, a global hub of innovation and technology. Being located here offers several advantages:

  • Access to Talent: Menlo Park boasts a highly skilled workforce with expertise in data science, engineering, and product management.
  • Networking Opportunities: You'll be surrounded by other tech companies, startups, and venture capitalists, providing ample opportunities for networking and collaboration.
  • Innovation Ecosystem: The area is a hotbed of innovation, with cutting-edge research being conducted at nearby universities and research institutions.
  • Quality of Life: While demanding, Menlo Park offers a high quality of life with access to beautiful parks, outdoor activities, and a vibrant cultural scene.

Career Path

Snowflake is committed to providing its employees with opportunities for growth and development. As a Senior Data Scientist, you can advance your career in several directions:

  • Principal Data Scientist: Lead complex data science projects and mentor junior data scientists.
  • Data Science Manager: Manage a team of data scientists, providing technical leadership and guidance.
  • Product Manager: Leverage your data science expertise to drive product strategy and roadmap development.
  • Technical Lead: Become a technical expert in a specific area of data science or machine learning.

Salary and Benefits

Snowflake offers a competitive salary and benefits package, commensurate with experience and qualifications. The estimated salary range for this position is $140,000 - $250,000 annually. In addition to salary, Snowflake provides a comprehensive benefits package that includes:

  • Health Insurance: Medical, dental, and vision coverage for employees and their dependents.
  • Paid Time Off: Generous vacation, sick leave, and holiday time.
  • Stock Options: Opportunity to own equity in the company.
  • Retirement Plan: 401(k) with company match.
  • Employee Assistance Program: Confidential counseling and support services.
  • Professional Development: Opportunities to attend conferences, workshops, and training programs.
  • Wellness Programs: Resources to support your physical and mental well-being.
  • Commuter Benefits: Assistance with transportation costs.
  • Parental Leave: Paid time off for new parents.
  • Flexible Work Arrangements: Options for remote work and flexible hours.

A Culture of Innovation

Snowflake is a company built on innovation. We are constantly pushing the boundaries of what's possible in data warehousing and cloud computing. As a member of the Product Data Science team, you will be encouraged to think creatively, experiment with new technologies, and challenge the status quo. We value collaboration, open communication, and a willingness to learn from each other.

How to Apply

If you are a passionate data scientist with a desire to make a real impact, we encourage you to apply! Please submit your resume and cover letter through the Snowflake careers website.

Frequently Asked Questions (FAQ)

  1. What is Snowflake's mission? Snowflake's mission is to empower every organization to be data-driven.
  2. What are Snowflake's core values? Snowflake's core values are customer-centricity, innovation, and integrity.
  3. What is it like to work at Snowflake? Snowflake offers a fast-paced, challenging, and rewarding work environment.
  4. What opportunities are there for career growth at Snowflake? Snowflake provides numerous opportunities for career advancement, both within data science and in other areas of the company.
  5. What is Snowflake's approach to diversity and inclusion? Snowflake is committed to creating a diverse and inclusive workplace where everyone feels valued and respected.
  6. What kind of training and development opportunities are available at Snowflake? Snowflake offers a variety of training and development programs to help employees grow their skills and advance their careers.
  7. What is Snowflake's work-life balance like? Snowflake strives to provide a healthy work-life balance for its employees, offering flexible work arrangements and generous time off.
  8. What is Snowflake's culture like? Snowflake has a collaborative, innovative, and results-oriented culture.
  9. What are the benefits of working at Snowflake? Snowflake offers a competitive salary and benefits package, including health insurance, paid time off, stock options, and a 401(k) plan.
  10. How can I learn more about Snowflake? You can learn more about Snowflake by visiting our website, reading our blog, and following us on social media.

Locations

  • Menlo Park, CA, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceintermediate
  • Product Managementintermediate
  • Engineeringintermediate
  • Data Modelingintermediate
  • Production Pipelinesintermediate
  • Telemetryintermediate
  • Analyticsintermediate
  • Machine Learning (ML)intermediate
  • Causal Inferenceintermediate
  • Feature Usage Analysisintermediate
  • Snowflake Featuresintermediate
  • Snowflake Notebookintermediate
  • Snowflake Worksheetintermediate
  • Snowsight Dashboardsintermediate
  • Streamlit Appsintermediate
  • SQLintermediate
  • Pythonintermediate
  • Scikit-learnintermediate
  • Numpyintermediate
  • Pandasintermediate
  • MPP Databasesintermediate
  • Redshiftintermediate
  • BigQueryintermediate
  • Verticaintermediate
  • Data-driven Storytellingintermediate
  • Communicationintermediate
  • Problem-Solvingintermediate
  • Adaptabilityintermediate
  • Collaborationintermediate

Required Qualifications

  • MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS) (experience)
  • 8+ years of relevant data science or related experience (experience)
  • Expert-level experience with SQL & Python (scikit-learn, numpy, pandas) (experience)
  • Expert in working with large-scale machine-generated data (logs, application telemetry, customer usage data) (experience)
  • High fluency with MPP databases (Snowflake, Redshift, BigQuery, Vertica) (experience)
  • Expert data-driven storytelling skills (experience)
  • Ability to thrive in a dynamic environment (experience)

Responsibilities

  • Partner with Product Management and Engineering to shape feature roadmaps.
  • Design metrics and analytical workflows to evaluate feature success.
  • Build efficient data models and high-quality production pipelines.
  • Partner with Engineering for necessary telemetry.
  • Build scalable analytics/ML/causal inference frameworks.
  • Uncover feature usage patterns.
  • Identify subtle issues with the system.
  • Discover potential performance enhancements.
  • Find areas to improve customer experience.
  • Provide feedback on Snowflake feature design parameters.
  • Evaluate the best surface for insight dissemination (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps).
  • Influence decisions and drive initiatives with Product Management and Engineering.
  • Answer questions from the executive team for board reporting.
  • Contribute to industry reports and similar publications.
  • Find optimal solutions to complex, unstructured problems.

Benefits

  • general: Competitive salary
  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Paid time off (vacation, sick leave, holidays)
  • general: Stock options or equity grants
  • general: Retirement plan (401k) with company match
  • general: Employee assistance program (EAP)
  • general: Professional development opportunities
  • general: Wellness programs
  • general: Commuter benefits
  • general: Parental leave
  • general: Flexible work arrangements
  • general: Life insurance
  • general: Disability insurance
  • general: Employee referral program
  • general: Company-sponsored events and activities
  • general: Opportunity for advancement within a rapidly growing company

Target Your Resume for "Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now!" , Snowflake

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now!" , Snowflake

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data ScienceProductMachine LearningSQLPythonCloudSnowflakeProduct Data ScienceMenlo ParkCaliforniaData ScientistData AnalysisData ModelingCloud ComputingData WarehousingBig DataMPP DatabasesRedshiftBigQueryData VisualizationProduct ManagementEngineeringData PipelinesAnalyticsTelemetryCausal InferenceFeature Usage AnalysisData-driven DecisionsCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for Senior Data Scientist - Product Careers at Snowflake - Menlo Park, CA | Apply Now! @ Snowflake.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.