Sr. Data Scientist, Marketing

Proofpoint•Sunnyvale, CA

1d•$124,100 - $244,200

About The Position

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. This is a hands-on role for a technical leader who can build advanced models while directly shaping go-to-market strategy. 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. Your work will define how we identify, prioritize, and convert high-value accounts — and how we accurately measure marketing’s true influence across complex enterprise buying journeys.

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

Nice To Haves

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

Responsibilities

Develop and continuously refine Ideal Customer Profile (ICP) models using firmographic, technographic, behavioral, and product usage data centralized in Snowflake
Build predictive lead and account scoring models leveraging SFDC, Marketo, product telemetry, and third-party intent vendor data
Design and maintain multi-touch attribution (MTA) models using Snowflake as the centralized source of truth
Integrate first-party behavioral data and third-party intent vendor signals into predictive pipeline models
Build scalable ELT pipelines in partnership with IT and Data Engineering to ingest and standardize marketing and intent data
Develop and maintain data models (dbt or similar) to standardize marketing and revenue reporting layers
Write advanced SQL in Snowflake across marketing, CRM, product, and revenue datasets
Develop predictive models in Python (or R) leveraging warehouse-scale datasets
Design and analyze A/B tests and incrementality experiments to distinguish correlation from causation
Build pipeline forecasting models incorporating ICP fit, engagement velocity, and intent signals