Amplitude

1 month ago

Customer Data Scientist (Statsig)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Technical, customer-facing data science role focused on experimentation design and statistical rigor. You will guide customers in designing and implementing A/B tests, collaborate with Sales, Solutions Engineering, Product, and Engineering, and develop scalable experimentation programs and repeatable frameworks to drive product decisions across a product-led platform.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept.
•Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.
•Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation.
•Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate customer success and bring valuable field insights back into product development.
•Create repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams.

Travel: Medium travel

Pay and Benefits

Perks:Health InsuranceDentalVision401kFlexible TimeParental LeaveEsppLearning BudgetHome OfficeWellness Stipend

Key Requirements

•5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference.
•Hands-on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or related techniques.
•Strong proficiency in SQL and Python and experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
•Experience using Python or R for statistical analysis, experimentation, and data modeling.
•Experience working directly with customers, stakeholders, or cross-functional partners to solve complex technical challenges and communicate sophisticated concepts effectively.

Experience:5+ yearsData scienceAnalyticsExperimentationStatistics

Skills:SQLPythonRSnowflakeBigQueryRedshift

Languages:English

Tech Stack:SQLPythonRSnowflakeBigQueryRedshift

Company Brief

Amplitude

Provides a product analytics platform that helps teams understand user behavior, optimize digital products, and drive growth through event-based analytics, experimentation, and data-driven insights.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 100M to 250M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Website LinkedIn

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Amplitude

1 month ago

Customer Data Scientist (Statsig)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept.
•Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.
•Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation.
•Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate customer success and bring valuable field insights back into product development.
•Create repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams.

Travel: Medium travel

Pay and Benefits

Perks:Health InsuranceDentalVision401kFlexible TimeParental LeaveEsppLearning BudgetHome OfficeWellness Stipend

Key Requirements

•5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference.
•Hands-on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or related techniques.
•Strong proficiency in SQL and Python and experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
•Experience using Python or R for statistical analysis, experimentation, and data modeling.
•Experience working directly with customers, stakeholders, or cross-functional partners to solve complex technical challenges and communicate sophisticated concepts effectively.

Experience:5+ yearsData scienceAnalyticsExperimentationStatistics

Skills:SQLPythonRSnowflakeBigQueryRedshift

Languages:English

Tech Stack:SQLPythonRSnowflakeBigQueryRedshift

Company Brief

Amplitude

Provides a product analytics platform that helps teams understand user behavior, optimize digital products, and drive growth through event-based analytics, experimentation, and data-driven insights.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 100M to 250M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Website LinkedIn