Senior Data Scientist

Role Overview

We are seeking a highly analytical and commercially minded Senior Manager of Marketing Science to drive ICP modeling, lead quality optimization, multi-touch attribution, and intent-driven growth strategy in a fast-scaling AI-driven B2B organization.

What You Will Do

Develop and continuously refine Ideal Customer Profile (ICP) models, build predictive lead and account scoring models, design and maintain multi-touch attribution (MTA) models, and integrate first-party behavioral data and third-party intent vendor signals into predictive pipeline models.

Why It Might Be a Fit

You will partner closely with Marketing, Sales, Product, and IT to ensure targeting, scoring, attribution, and investment decisions are grounded in scalable data architecture, predictive analytics, and incremental impact measurement.

Requirements

• 8–10+ years of experience in marketing science, growth analytics, or B2B data science
• Advanced SQL proficiency with hands-on experience in Snowflake
• Strong Python (or R) experience for predictive modeling and statistical analysis
• Familiarity with ELT/ETL tools (e.g., dbt, Fivetran, Airflow, or similar)
• Proven experience building predictive lead and account scoring models
• Experience designing or evolving multi-touch attribution frameworks
• Experience integrating and operationalizing third-party intent vendor data
• Strong statistical foundation (experimentation design, regression, causal inference)
• Experience across Marketo, SFDC, Snowflake Preferred
• Experience modeling marketing and revenue data within modern cloud data stacks
• Familiarity with ABM measurement and buying group analytics
• Experience in AI-native or data-centric B2B SaaS environments
• Background supporting annual planning and board-level reporting

Benefits

• Competitive compensation
• Comprehensive benefits
• Flexible work environment
• Annual wellness and community outreach days
• Always on recognition for your contributions
• Global collaboration and networking opportunities