PandaDoc

SaaS

SeniorDataScientistGTMData

$165–185k United States Remote Friendly
The Brief

“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.

SaaS
Problems you'll solve

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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