Customer

1 month ago

Senior Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Senior Data Scientist at Customer.io will analyze customer and product data to inform product, marketing, and customer experience decisions. You’ll build models, run experiments, and translate complex analyses into actionable recommendations for cross-functional partners, balancing rigor with pragmatic, business-focused outcomes.

Location: Americas

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.
•Design experiments and measurement approaches to evaluate the impact of product and marketing changes and help teams make decisions based on evidence.
•Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.
•Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios.
•Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.

Pay and Benefits

Salary: USD 140,000 - 150,000 annually

Perks:Remote WorkPaid LeaveLearning BudgetParental Leave

Key Requirements

•5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment.
•Strong foundation in statistics, experimentation, and behavioral analytics with the ability to apply them pragmatically to real product and business problems.
•Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.
•Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus.
•Strong communication and stakeholder skills - you can explain complex analysis clearly to PMs, marketers, executives, and non-technical partners.

Experience:5+ yearsSaaSAnalyticsData science

Skills:CommunicationProblem-solvingStakeholder management

Languages:English

Tech Stack:SQLPythonSnowflakeBigQueryDbt

Company Brief

Customer

Customer.io provides a customer engagement platform that lets businesses send data-driven email, push, SMS, in-app messages, and webhooks to build personalized user journeys and improve retention and lifecycle communications.

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Revenue: USD 25M to 50M

Growth: Growth Stage Startup

Valuation: USD 500M to 1B

Funding: Series A

Headquarters: Portland, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn Glassdoor

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Customer

1 month ago

Senior Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Americas

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.
•Design experiments and measurement approaches to evaluate the impact of product and marketing changes and help teams make decisions based on evidence.
•Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.
•Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios.
•Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.

Pay and Benefits

Salary: USD 140,000 - 150,000 annually

Perks:Remote WorkPaid LeaveLearning BudgetParental Leave

Key Requirements

•5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment.
•Strong foundation in statistics, experimentation, and behavioral analytics with the ability to apply them pragmatically to real product and business problems.
•Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.
•Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus.
•Strong communication and stakeholder skills - you can explain complex analysis clearly to PMs, marketers, executives, and non-technical partners.

Experience:5+ yearsSaaSAnalyticsData science

Skills:CommunicationProblem-solvingStakeholder management

Languages:English

Tech Stack:SQLPythonSnowflakeBigQueryDbt

Company Brief

Customer

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Revenue: USD 25M to 50M

Growth: Growth Stage Startup

Valuation: USD 500M to 1B

Funding: Series A

Headquarters: Portland, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn Glassdoor