Data Scientist at CVS Health independently solving complex business problems across various domains. Leading AI - driven approaches and collaborating with stakeholders for impactful solutions.
About the role
- Data Scientist I developing and deploying data-driven solutions at Klivvr. Collaborating with Product, Engineering, and Marketing teams for actionable insights in fintech.
Responsibilities
- Design and implement statistical models and machine learning algorithms for customer segmentation, credit scoring, fraud detection, and more.
- Translate business problems into analytical solutions with measurable impact.
- Collaborate with data engineers to productionize and scale models using best-in-class tools and infrastructure.
- Analyze user behavior and transactional data to identify trends, patterns, and opportunities.
- Present insights and recommendations clearly to non-technical stakeholders.
- Continuously improve model performance and maintain model health post-deployment.
- Contribute to the development of internal data science frameworks, tooling, and best practices.
Requirements
- 1+ years of hands-on experience in data science or applied machine learning roles.
- Proficiency in Python (NumPy, pandas, scikit-learn, etc.) and SQL.
- Solid understanding of statistics, probability, and machine learning algorithms.
- Experience working with large-scale datasets and cloud platforms.
- Comfortable with version control tools (Git) and collaborative development workflows.
- Strong communication skills and the ability to work cross-functionally.
- Experience in fintech or consumer finance domains.
- Familiarity with MLOps tools and practices (e.g., MLflow, Airflow, Docker).
- Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
Job title
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Tech skills
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