CLEAR · 1 day ago
Senior Data Scientist
CLEAR is on a mission to create frictionless experiences, and they are seeking a Senior Data Scientist to design, develop, and deploy advanced statistical and machine learning models. This role focuses on building and operationalizing models to optimize behavior across CLEAR's digital identity platform.
BiometricsFacial RecognitionIdentity ManagementSecurity
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
Qualification
Required
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)
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
Benefits
Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
A 401(k) retirement plan with employer match
Company
CLEAR
CLEAR is an identity company that uses biometrics to build a connected world that’s smarter and more secure. It is a sub-organization of Alclear LLC.
H1B Sponsorship
CLEAR has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2022 (3)
2021 (1)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$135MKey Investors
United AirlinesT. Rowe PriceDelta Air Lines
2021-06-30IPO
2021-02-08Private Equity· $100M
2019-07-29Corporate Round
Recent News
2025-12-30
Company data provided by crunchbase