PandaDoc

About PandaDoc

Streamlining document workflows for growing organizations

🏒 Retail, TechπŸ‘₯ 251-1KπŸ“… Founded 2013πŸ“ San Francisco, California, United States

Key Highlights

  • Over 35,000 customers including Cisco and HubSpot
  • Headquartered in San Francisco, California
  • Raised $50M+ from investors like Rembrandt Venture Partners
  • Offers unlimited PTO and flexible remote work options

PandaDoc is a document workflow automation platform headquartered in San Francisco, California, that serves over 35,000 organizations, including notable clients like Cisco and HubSpot. The platform streamlines the creation, management, and signing of digital documents such as proposals, quotes, and ...

🎁 Benefits

PandaDoc offers competitive salaries, equity options, unlimited PTO, and a flexible remote work policy, allowing employees to maintain a healthy work-...

🌟 Culture

PandaDoc fosters a remote-friendly culture that emphasizes collaboration and innovation, encouraging employees to contribute ideas and take ownership ...

PandaDoc

Data Scientist β€’ Senior

PandaDoc β€’ Lisbon

Apply Now β†’

Overview

PandaDoc is hiring a Staff Product Data Scientist to lead experimentation and causal analysis initiatives. You'll work with advanced methodologies to drive data-driven decisions across the organization. This role requires strong expertise in data analysis and experimentation techniques.

Job Description

Who you are

You are a seasoned data scientist with at least 5 years of experience in data analysis and experimentation. You have a deep understanding of causal inference techniques and are skilled in designing and analyzing complex A/B tests and multivariate experiments. Your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively, uncovering insights that drive business decisions. You are passionate about fostering a data-driven culture within organizations and enjoy mentoring other analysts and data scientists in advanced methodologies. You thrive in collaborative environments, working closely with cross-functional teams to align data insights with strategic objectives.

Desirable

Experience with Bayesian experimentation and advanced statistical methods is a plus. Familiarity with product management and finance data will help you excel in this role. You are comfortable communicating complex data concepts to non-technical stakeholders, ensuring that insights are actionable and impactful.

What you'll do

As a Staff Product Data Scientist at PandaDoc, you will lead the experimentation roadmap, defining and executing strategies to measure impact across the organization. You will focus on high-leverage business questions related to customer workflows, churn risk, and long-term value. Your role involves designing, implementing, and rigorously analyzing complex experiments, applying advanced causal inference techniques to assess the effectiveness of product changes. You will collaborate with product, finance, design, engineering, and marketing teams to ensure alignment between data insights and critical business decisions. You will also be responsible for training and mentoring other analysts and data scientists, sharing your expertise in causal methodologies and fostering a culture of data-driven decision-making.

What we offer

PandaDoc offers a competitive salary and benefits package, including comprehensive health coverage, generous PTO, and a supportive work environment. You will have the opportunity to work with a fun and dynamic team, contributing to a mission-driven company that values innovation and collaboration. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse perspectives lead to better outcomes.

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