Senior Data Scientist

Kardfinancialinc

Remote, US
Not specified; not specified; flexible pto, health...
Remote
6+ years data science experience
Python pandas scikit-learn pytorch xgboost
Recommendation systems and ranking models
Kardfinancialinc is seeking a Senior Data Scientist to enhance their rewards-as-a-service API platform through machine learning and experimentation. The role involves developing models for personalization and ranking, analyzing user behavior, and collaborating with cross-functional teams to optimize customer engagement. This fully remote position offers a competitive benefits package and emphasizes a culture of initiative, openness, and humility

Job Summary

  • Kard is transforming customer loyalty by empowering partners to offer tailored rewards through a rewards-as-a-service API platform backed by $30M in funding.
  • The Senior Data Scientist will build and ship ML models that drive offer personalization, ranking, and targeting while designing A/B tests to measure campaign impact.
  • Employees enjoy flexible PTO with a minimum requirement of one day off per quarter, health insurance, and coworking space reimbursement in a remote-first environment.

Matching Summary

Match Score: 85

Kardfinancialinc is seeking a Senior Data Scientist to enhance their rewards-as-a-service API platform through machine learning and experimentation. The role involves developing models for personalization and ranking, analyzing user behavior, and collaborating with cross-functional teams to optimize customer engagement. This fully remote position offers a competitive benefits package and emphasizes a culture of initiative, openness, and humility.

Salary

Not specified; Not specified; Flexible PTO, Health/Dental/Vision, 401k match, WFH setup reimbursement

Skills & Requirements

Must-have

  • 6+ years data science experience
  • Python pandas scikit-learn PyTorch XGBoost
  • Recommendation systems and ranking models
  • A/B testing and incrementality measurement
  • Causal inference methods like uplift modeling
  • Large-scale event and transaction datasets
  • Production model deployment and monitoring

Nice-to-have

  • Experience with fintech or marketplace domains
  • Familiarity with Spark Airflow dbt feature stores
  • Strong communication with non-technical audiences
  • Pragmatic product-minded impact-driven approach
  • Willingness to travel for company meetings

Key Requirements

  • 6+ years of experience in data science
  • Meaningful experience in applied machine learning in production
  • U.S. core business hours availability

Work Rights

Not specified

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