Senior Data Scientist

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Take ownership of the development of comprehensive business dashboards that provide insights into company performance, functional health, and execution speed.

• Define, implement, and maintain critical metrics in collaboration with cross-functional teams.

• Design and carry out thorough A/B and multivariate experiments alongside Product and cross-functional teams.

• Enhance experimentation methodologies, including the evaluation of experience-driven features and the management of concurrent experiments.

• Develop predictive and behavioral models that encompass segmentation, churn, propensity, and related analyses.

• Convert complex analytical insights into actionable recommendations for executives and cross-functional stakeholders.

• Identify opportunities to apply experimentation and causal rigor throughout the organization.

• Engage stakeholders throughout the analytical process, from defining questions to providing recommendations.

• Lead with expertise, establish robust processes, and enhance team capabilities.

⛳️ Requirements

• 5–8+ years of experience in data science, business intelligence, applied statistics, or advanced analytics.

• A Master's or Ph.D. in Statistics, Data Science, Operations Research, Mathematics, Econometrics, or a related quantitative discipline.

• Proven experience in creating business dashboards and insight systems that enhance operational visibility and inform executive decision-making.

• Strong expertise in experimental design and causal inference, including A/B testing, power analysis, difference-in-differences, and propensity methods.

• Extensive background in predictive and behavioral modeling, encompassing regression, classification, segmentation, time series, and gradient boosting.

• Proficient in SQL.

• Advanced skills in Python, including libraries such as pandas, scikit-learn, statsmodels, and PySpark, and/or R.

• Practical experience with modern data stacks; familiarity with Databricks is preferred.

• Practical understanding of AI/LLM tools for exploratory analysis, code assistance, and documentation.

• Knowledge of responsible AI practices and data governance.

• Comfortable addressing a variety of problem types.

🏝️ Benefits

• Competitive compensation.

• Comprehensive benefits to support your well-being today and in the future.

• Fantastic perks, including flexible paid time off.

• Virtual team environment.

• Opportunity to align your passion and purpose with your work.