Senior Manager, Data Science, Analytics

🕒 June 11

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Customer.io

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

☁️ SaaS

📣 Marketing

💰 Series A on 2022-03

SaaS • Marketing

Customer. io is a customer engagement platform that helps businesses create personalized journeys across multiple channels, such as email, SMS, and in-app messaging, by leveraging first-party data. The platform offers solutions for crafting and automating messages with high flexibility and customization. It includes features such as data pipelines for managing customer data, visual workflow builders for automation, and tools for analytics and A/B testing to optimize messaging campaigns. Designed to scale with businesses of all sizes, Customer. io integrates with existing tools and provides a secure, compliant environment with high uptime, making it a trusted choice for over 7,400 brands globally.

📋 Description

• Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience. • Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments. • Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business. • Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics. • Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team.

🎯 Requirements

• 7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams. • Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics. • Advanced SQL skills and proficiency with Python or similar analytical tools. • Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making. • Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences. • Comfortable balancing strategic leadership with hands-on analytical work when needed. • Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools. • Experience in B2B SaaS, PLG, or subscription-based businesses preferred. • Based in the Americas, remote-friendly.

🏖️ Benefits

• 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family • 16 weeks paid parental leave • unlimited PTO • stipends for remote work and wellness • a professional development budget