CLEAR is looking to deepen its investment in the data science ecosystem that powers its products, personalization, and decision-making by hiring a Senior Data Scientist to design, develop, and deploy advanced statistical and machine learning models that drive measurable business impact on its digital identity platform.
Requirements
- 6+ years of experience in data science, machine learning, or applied statistics within a modern cloud data environment like AWS Sagemaker.
- Expert-level Python with deep experience in scientific libraries (e.g. pandas, NumPy, SciPy, matplotlib), machine learning frameworks (e.g. scikit-learn, XGBoost, LightGBM, pytorch), and model evaluation tooling.
- Strong SQL skills and experience working with cloud data warehouses (e.g. Snowflake, BigQuery, Redshift).
- Experience with modern ML workflow tools (e.g., Airflow, Dagster, MLflow, Vertex / SageMaker, Voxel 51).
- Deep understanding of statistical methods, experiment design, data cleansing, feature engineering, and model interpretability.
- Proven ability to turn ambiguous business problems into measurable modeling approaches—balancing analytical rigor with practical business impact.
- Experience deploying production models and maintaining them through their lifecycle (monitoring, retraining, performance management).
Responsibilities
- Own and evolve CLEAR's predictive modeling ecosystem: design, train, and optimize statistical and machine learning models for our digital identity platform that support product, risk, fraud, operations, and member experience teams.
- Develop high-quality production code including feature engineering pipelines, model training workflows, and evaluation frameworks that meet reliability and performance standards.
- Partner with Data Engineering and ML Platform teams to deploy models into production, define scalable data pipelines, and ensure real-time and batch inference systems run efficiently.
- Advance CLEAR's AI & ML capabilities by designing reusable modeling components, improving model documentation, and contributing to a roadmap for integrating ML into core products and decision flows.
- Improve experimentation and insight generation by building robust tooling and analytical frameworks, designing statistical tests, and synthesizing results into clear and actionable recommendations for cross-functional teams.
- Mentor analysts, data scientists, and ML engineers, guiding them on Python best practices, model development, data exploration, and communicating insights effectively.
Other
- Strong communication, stakeholder influence, and storytelling skills; you can translate complex data science work into insights and decisions.
- A proactive, curious mindset with a passion for standardization, repeatability, and scaling high-quality modeling practices.
- High-impact: Your models and insights will shape decision-making and member experiences across CLEAR.
- Craft + influence: Blend hands-on modeling with the opportunity to set the bar for data science excellence company-wide.
- Mission-driven culture: Help build trusted, secure, frictionless experiences for millions.
