Data Scientist – Discovery Mode

This is a fully remote position, open to applicants in New York.

📋 Description

• Lead the analytical efforts for the Discovery Mode ML team, focusing on the assessment and ongoing enhancement of the models that facilitate measurement and campaign optimization.

• Collaborate with ML engineers to create evaluation frameworks and pinpoint opportunities for improving model performance, dependability, and customer impact.

• Design and implement comprehensive experiments to assess model quality, analyze outcomes, and steer model development.

• Perform in-depth analyses to evaluate model performance and convert findings into clear, actionable recommendations for product and business stakeholders.

• Develop, maintain, and enhance dashboards that monitor model health, customer metrics, and program effectiveness.

• Work together with product managers, engineers, and cross-functional teams to ensure analytical priorities align with squad objectives and customer requirements.

• Contribute to the wider Product Insights community by sharing best practices and helping elevate the standards for analytics within Discovery Mode.

⛳️ Requirements

• Minimum of 4 years of experience in a data science position, along with a degree in data science, statistics, economics, mathematics, or a related quantitative discipline.

• Proven experience in measuring customer outcomes, defining KPIs, and linking analytical insights to product decisions.

• Skilled in designing and executing A/B tests, recognizing when experimentation is the appropriate approach, and interpreting results with the necessary rigor.

• Experience in assessing machine learning model performance and collaborating with ML engineers to enhance model and customer outcomes.

• Comfortable operating in a highly technical environment and working closely with engineering teams.

• Ability to communicate complex statistical concepts effectively to both technical and non-technical audiences.

• Strong foundation in data science, including proficiency in Python, SQL, BigQuery, dbt, data storytelling, and experience within cross-functional product teams.

• Familiarity with areas such as advertising measurement, recommendation systems, experimentation, or large-scale causal inference.

🏝️ Benefits

• Flexibility to work from the location that suits you best within the EST timezone region.