Staff Product Data Scientist - Remote
About the Role
We are seeking a Staff Product Data Scientist to join our team at PandaDoc. This remote position allows you to leverage your expertise in data science to drive impactful business decisions. As a Staff Product Data Scientist, you will play a crucial role in fostering a data-driven culture within our organization. You will work closely with cross-functional teams to uncover insights that will shape our product strategy and enhance customer experiences.
What You'll Do
- Lead the Experimentation Roadmap: Define and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows and churn risk.
- Design and analyze complex A/B tests and multivariate experiments, applying advanced methodologies such as Bayesian experimentation.
- Utilize advanced causal inference techniques to assess scenarios where randomized controlled trials are not feasible.
- Conduct deep dive analyses to uncover latent user behaviors and emerging trends, translating findings into actionable insights.
- Develop and govern a unified Key Performance Indicator (KPI) framework that aligns product health metrics with business outcomes.
- Collaborate with Data Engineering to build scalable experimentation tools and analytical frameworks.
- Translate complex statistical findings into clear narratives for senior leadership, driving strategic decisions.
- Mentor junior data scientists on best practices in statistical rigor and experimental design.
Requirements
- 6+ years of experience in data science, economics, or product analytics, with a focus on experimentation and causal inference.
- B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related field; a Master's degree is preferred.
- Expertise in causal inference methods and advanced statistical methodologies for A/B testing.
- Proficiency in Python or R for statistical modeling, with experience in data science packages.
- Expert-level proficiency in SQL and experience with data warehouses like Snowflake or Postgres.
- Experience with data transformation tools such as dbt or Airflow is a plus.
- Exceptional communication skills, with the ability to influence cross-functional partners.
- Experience in a SaaS environment is preferred.
Nice to Have
- Experience in product data science.
- Familiarity with machine learning techniques.
- Strong analytical and problem-solving skills.
What We Offer
- Competitive salary up to $210,000.
- Comprehensive health and commuter benefits.
- 20+ PTO days and company-paid life & disability insurance.
- 401K and FSA plans.
- A supportive team culture with opportunities for career growth.
This Staff Product Data Scientist role at PandaDoc offers a unique opportunity to drive data-driven decision-making in a supportive remote environment. With a competitive salary and strong growth potential, it's an attractive position for experienced data professionals.
Who Will Succeed Here
Proficient in Python and R for statistical modeling and machine learning, with a strong understanding of A/B testing frameworks to validate product changes.
Self-motivated and disciplined in a remote work environment, with excellent time management skills to balance multiple projects and collaborate effectively across teams.
Deep understanding of causal inference techniques and their application in real-world scenarios to derive actionable insights from complex datasets.
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