Senior GTM Data Scientist

🕒 July 7

🇺🇸 United States – Remote

💵 zł24k - zł29k / month

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

PandaDoc

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

☁️ SaaS

🤝 B2B

⚡ Productivity

💰 Series C on 2021-09

SaaS • B2B • Productivity

PandaDoc is a comprehensive document management solution that helps businesses streamline their document workflows. It offers a range of features including custom agreement generation, eSignatures, CPQ (configure, price, quote) capabilities, and real-time collaboration tools. PandaDoc is designed for ease of use, enabling teams to automate document creation and management processes, thus improving efficiency and reducing errors. The platform integrates with popular CRM systems, payment gateways, and other tools to facilitate seamless business operations. Focused on security and compliance, PandaDoc supports legal and secure electronic transactions, making it ideal for businesses looking to optimize their agreement management processes.

📋 Description

• Design, build, 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/B testing, pricing experiments, and marketing campaign effectiveness. • Execute proactive, 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 Marketing Mix Modeling (MMM) results to help maximize marketing ROI and assess the feasibility of future in-house modeling. • Define, instrument, 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, ML modeling, and causal methodologies.

🎯 Requirements

• 4+ years of professional experience in an applied data science, economics, or GTM analytics role. • A proven track record of leveraging predictive modeling and experimentation to drive measurable business impact. • B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. • Experience in building and validating production-ready models for business applications (LTV, Attribution, Propensity). • Practical application of Causal Inference methods, such as Quasi-Experimentation, Matching Methods (PSM), and Difference-in-Differences. • Proficiency in statistical methodologies for A/B testing, including sample size calculations, sequential testing, and variance reduction techniques. • Advanced proficiency in Python or R (specifically Scikit-Learn, pandas, numpy) and expert-level SQL. • Experience with tools like dbt, Airflow, Databricks, or Snowflake is a strong plus. • Experience in a SaaS domain and a strong focus on supporting Sales, Marketing, or Customer Success data needs are highly preferred.

🏖️ Benefits

• Competitive salary (If you are located in Poland the salary range is 24,000 to 29,000 PLN gross per month) • Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon. • We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. • Work schedule aligned with EU time zones. • Honest, open culture that values constructive feedback. • Professional and personal development within a collaborative, supportive team. • Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.