Senior Data Scientist

The role

You will build and deploy machine learning and experimentation systems for a card-linked offers platform. You will work across personalization, ranking, and causal measurement using transaction data.

What you will do

• Build and ship ML models for offer personalization, ranking, and targeting.
• Develop features and training pipelines on large-scale datasets.
• Design and analyze A/B tests and incrementality experiments.
• Apply causal inference methods to quantify partner ROI and user behavior changes.
• Partner with ML and Data Engineers to productionize models.
• Improve and iterate on ranking and recommendation systems.
• Contribute to attribution and measurement systems.
• Translate modeling outputs into actionable insights.
• Own projects end-to-end from problem framing to post-launch evaluation.
• Help define best practices for experimentation, model evaluation, and data quality.

Required qualifications

• 6+ years of experience in data science.
• Meaningful experience in applied machine learning in production.
• Strong experience with recommendation systems, ranking models, or personalization.
• Solid grounding in statistics and experimentation, including A/B testing and incrementality measurement.
• Experience with causal inference approaches for real-world observational data.
• Proficiency in Python (pandas, scikit-learn, PyTorch/XGBoost) and SQL.
• Experience working with large-scale datasets.
• Experience collaborating with engineers to deploy models into production systems.
• Ability to connect modeling work to business outcomes.
• Strong communication skills.
• U.S. core business hours availability.
• Willingness to travel for company meetings.

Nice to have

• Experience working with event-driven or transaction-level data (fintech, ads, marketplaces, or similar domains preferred).
• Familiarity with modern data/ML stacks (e.g., Spark, Airflow, dbt, feature stores, cloud platforms like AWS/GCP).
• Pragmatic, product-minded, and impact-driven.

Benefits

• Flexible PTO, with a minimum requirement to take one day off a quarter, ten days a year
• Observance of 11 Federal Holidays, plus an additional day each for Black Friday and Christmas Eve (US employees only)
• Health, Dental and Vision Insurance
• 401k with employer match (US employees only)
• Coworking space and WFH setup reimbursement
• Company Offsites for planning, team-building, and networking

About the company

Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards.