Senior Data Scientist

About the role

Hi, my name is Michael, Head of Data & Analytics at Customer.io, and I'm looking for a Senior Data Scientist to help our teams make better decisions using customer and product data. You'll partner closely with Product, Marketing, and Customer Experience to evaluate product changes, design and analyze experiments, identify opportunities to improve the customer experience, and influence roadmap and business priorities. This is a hands-on role focused on analyzing behavior, building models, and turning data into clear, actionable direction. This role is ideal for someone who enjoys solving ambiguous problems, working closely with stakeholders, and applying data science pragmatically to support product and business decisions. We're looking for someone with an ownership mindset and a bias for action who balances technical rigor with practical decision-making.

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 rather than intuition.
• 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.
• Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background.

Requirements

• 5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment.
• A 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.
• An ownership mindset - you help define the problem and move work forward; you don't wait for perfect requirements.

Qualifications

• Advanced degree in Computer Science, Statistics, Mathematics, or a related field.
• Experience with data visualization tools such as Tableau or PowerBI.
• Knowledge of A/B testing frameworks and methodologies.
• Experience with natural language processing (NLP) and sentiment analysis.

Skills

• Data analysis and modeling
• Experimentation and statistical analysis
• Machine learning and AI
• SQL and Python programming
• Data visualization
• Natural language processing (NLP)

Benefits

• Compensation: Starting salary range is $140,000-$150,000 USD (or equivalent in local currency) depending on experience and market rate adjustment.
• Inclusive benefits package: 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; and more.

Pay

Starting salary for this role is $140,000-$150,000 USD (or equivalent in local currency) depending on experience and market rate adjustment.

Schedule

We offer flexible work arrangements to accommodate your needs and preferences.