PandaDoc
SaaS
SeniorDataScientistGTMData
“Senior Data Scientist - GTM Data at PandaDoc. Design, build, and maintain predictive machine learning models that optimize customer acquisition, revenue attribution, and retention efforts. Apply analytical rigor and methodologies like experimentation and causal inference to provide GTM leadership with a reliable understanding of business efficiency and impact”
What You'll Achieve.
optimize customer acquisition, revenue attribution, and retention efforts; provide GTM leadership with a reliable understanding of business efficiency and impact; maximize marketing ROI; assess the feasibility of future in-house modeling; maps GTM activities to high-level business outcomes
Industry & Context.
analytical rigor; complex analytical deep dives; discover latent user behavior; root causes of changes in GTM metrics; translate complex business questions into clear analytical frameworks
What They're Looking For.
Must Have
4+ years of professional experience in an applied data science, economics, or GTM analytics role, B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline, Advanced proficiency in Python or R, expert-level SQL
Nice to Have
Master’s degree, Experience with tools like dbt, Airflow, Databricks, or Snowflake, Experience in a SaaS domain, focus on supporting Sales, Marketing, or Customer Success data needs, Experience building LTV, attribution, and propensity models
What You'll Do.
and maintain predictive machine learning models that optimize customer acquisition
and retention efforts
Apply analytical rigor and methodologies like experimentation and causal inference to provide GTM leadership with a reliable understanding of business efficiency and impact
and deploy foundational GTM models
including Customer Lifetime Value (LTV) forecasting
Marketing and Sales Attribution
and Propensity models
Partner with GTM teams to design and analyze controlled experiments across various channels
including website A testing
and marketing campaign effectiveness
complex analytical deep dives to discover latent user behavior and root causes of changes in GTM metrics
translating findings into actionable recommendations
Support the interpretation of MMM results to help maximize marketing ROI and assess the feasibility of future in-house modeling
and govern a unified Key Performance Indicator (KPI) framework that maps GTM activities to high-level business outcomes
Translate complex statistical findings and model outputs into compelling business narratives for cross-functional partners
Work closely with Data Engineering to ensure data quality
reliable instrumentation
and the development of reusable predictive assets like model feature stores
Provide technical guidance to peers and stakeholders on best practices for data exploration
and causal methodologies
How You'll Work.
Team & Collaboration
analytical partner to our Go-To-Market (GTM) teams; embed yourself in our GTM data; act as a reliable thought partner to Marketing, Sales, Customer Success, and Finance; Partner with GTM teams to design and analyze controlled experiments; Translate complex statistical findings and model outputs into compelling business narratives for cross-functional partners; Data Partnership: Work closely with Data Engineering; Provide technical guidance to peers and stakeholders
Communication Scope
data storytelling skills; ability to influence cross-functional partners; drive consensus in ambiguous environments; Translate complex statistical findings and model outputs into compelling business narratives
Process & Methodology
managing multiple competing priorities
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