Senior Principal Applied Scientist

We are looking for a highly skilled and experienced Measurement Scientist to join our team as a trusted technical expert. In this individual contributor role, you will bring a unique blend of scientific rigor, business acumen, and technical expertise to define and implement advanced measurement strategies that drive actionable insights that shape strategic business decisions across our SaaS platform.

As a Senior Principal Measurement Scientist, you will focus on designing robust and innovative measurement frameworks that evaluate the performance and impact of predictive models and analytics systems. Your contributions will directly influence our ability to assess model success, improve customer outcomes, and optimize business impact.

You are a hands-on scientific expert with a deep understanding of statistical modeling, data science, and predictive analytics. You excel at designing scalable and reliable measurement systems, ensuring they meet the highest standards of accuracy, reliability, and alignment with organizational goals. Your work will set the benchmark for scientific excellence, with solutions that are elegant, efficient, and extensible. You thrive on tackling challenging problems, distilling complex concepts into actionable solutions, and iterating based on real-world outcomes.

In this role, you will serve as a critical thought leader and collaborator, working across teams to scrutinize experimental designs, validate methodologies, and foster shared understanding. You will probe assumptions, illuminate potential pitfalls, and contribute to a culture of continuous learning and improvement. Your expertise will enable you to bridge technical depth with strategic vision, ensuring that measurement practices align with both scientific rigor and business needs.

This role provides a unique opportunity to have a tangible and lasting impact on how we evaluate and enhance the performance of our models, algorithms, and systems. If you are passionate about using measurement science to solve hard problems, drive innovation, and influence outcomes, we encourage you to apply.

Career Level - IC5

The measurement scientist’s responsibilities include:

• Design and implement advanced measurement frameworks to evaluate the performance and business impact of predictive models, ensuring alignment with organizational goals.
• Develop comprehensive systems to monitor, validate, and optimize predictive models, quantifying uncertainty and assessing their effectiveness in real-world scenarios. This includes addressing data drift, model bias, and other emerging risks to maintain the reliability and relevance of the models over time.
• Collaborate with data scientists, engineers, and business stakeholders to align measurement strategies with organizational objectives. Act as a trusted advisor by scrutinizing experimental designs, validating methodologies, fostering shared understanding, and driving cross-functional alignment on measurement practices.
• Address complex and ambiguous challenges by breaking them into actionable solutions and devising innovative approaches to ensure measurement systems remain scalable, reliable, and adaptable to evolving business needs. Illuminate potential pitfalls and proactively solve for long-term sustainability in predictive and analytical processes.
• Establish and maintain rigorous scientific standards for measurement systems, ensuring consistency, accuracy, and alignment with best practices in experimental design, model evaluation, and result validation. Advocate for and lead the adoption of these practices across the organization.
• Continuously refine and enhance measurement systems through feedback and real-world outcomes, ensuring that processes remain effective and relevant. Monitor for potential issues, such as model performance degradation or data inconsistencies, and implement improvements as necessary.
• Serve as a thought leader by staying abreast of cutting-edge methodologies, trends, and technologies in measurement science and predictive analytics. Share insights across the organization to foster a culture of continuous learning and improvement, ensuring the team remains at the forefront of industry practices.

Job Requirements:

• Demonstrate advanced proficiency in statistical modeling, predictive analytics, and programming languages such as Python or R, alongside tools like SQL and data manipulation libraries (e.g., Pandas, NumPy). Apply expertise in developing scalable, reliable measurement systems that meet business and scientific standards.
• Bring a deep understanding of measurement