Drive measurable growth with Kard’s commerce media network powered by predictive AI and first-party data to deliver personalized rewards that convert. Backed by Techstars.
About the role
As a Senior Data Scientist at Kard, you will build and deploy machine learning and experimentation systems that power our card-linked offers platform. Your work will directly improve how users discover and engage with offers, and how partners measure ROI. You’ll operate across personalization, ranking, and causal measurement - partnering closely with Product, Engineering, and Sales to turn behavioral transaction data into production-grade models and insights.
What they're looking for
- 6+ years of experience in data science, with meaningful experience in applied machine learning in production
- Strong experience with recommendation systems, ranking models, or personalization (e.g., propensity models, collaborative filtering, embeddings)
- 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 working with event-driven or transaction-level data (fintech, ads, marketplaces, or similar domains preferred)
More about this role
Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. As our reach expands, we are building for a step-change in scale, and for opportunities ranging from more relevant rewards and marketer intelligence to new commerce and distribution models.
As a Senior Data Scientist at Kard, you will build and deploy machine learning and experimentation systems that power our card-linked offers platform. Your work will directly improve how users discover and engage with offers, and how partners measure ROI. You’ll operate across personalization, ranking, and causal measurement - partnering closely with Product, Engineering, and Sales to turn behavioral transaction data into production-grade models and insights.
- Build and ship ML models that drive offer personalization, ranking, and targeting using transaction, merchant, and user behavioral data.
- Develop features and training pipelines on top of large-scale event and transaction datasets (e.g., spend patterns, visit frequency, merchant affinity).
- Design and analyze A/B tests and incrementality experiments to measure...
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