Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the analytics lead for broker data products and market strategies.

• Define and execute comprehensive measurement and data science initiatives from problem identification to implementation.

• Create success metrics at the broker level and establish causal inference frameworks, including matching techniques and difference-in-differences analysis.

• Collaborate with Product Managers and go-to-market teams on measurement strategies and the development of data products.

• Perform in-depth analyses and opportunity assessments for product and go-to-market strategies.

• Deliver data-driven insights and recommendations to senior management.

• Develop scalable analytical pipelines, scheduled processes, and reusable data products.

• Utilize AI-enabled analytics workflows while ensuring deterministic and verifiable analytical methods.

• Support externally focused product value narratives with robust methodologies.

• Manage broker measurement and data product analytics comprehensively as a solo contributor.

⛳️ Requirements

• Over 5 years of experience in data science, product analytics, or a related quantitative discipline.

• Strong expertise in statistics, causal inference, and experimental design (A/B testing).

• Capability to create robust metrics and evaluate product or go-to-market effectiveness.

• Experience collaborating with Product Managers, engineers, and go-to-market teams.

• Proficient in SQL and Python programming.

• Familiarity with large datasets in contemporary data platforms such as Spark and Databricks.

• Effective application of AI tools in analytical tasks while maintaining methodological rigor.

• Senior-level experience in product analytics, covering measurement, experimentation, clickstream analysis, and segment analysis.

• Proven ability to build dependable, scalable analytical pipelines and scheduled data processes, or contribute to the development of data and analytics platforms.

• Capacity to operate independently in ambiguous environments as an end-to-end owner.

• A Master's degree or equivalent experience in statistics or a similar quantitative field is preferred.

• Experience with data visualization tools such as Tableau is preferred but not mandatory.

🏝️ Benefits

• Equity awards based on factors such as experience, performance, and location.

• Ability to work remotely from a location of choice within eligible U.S. regions.

• Opportunities for cross-domain learning and influence.

• Chances to expand your scope and interact with senior leaders.

• An inclusive and innovative workplace environment.

• Reasonable accommodations for disabilities or special needs.