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Senior Data Scientist – Banking
| Company | Current |
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| Location | New York, NY, USA |
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| Salary | $180000 – $220000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 5+ years of experience in data science with a strong emphasis on machine learning modeling.
- Proficiency in Python for data analysis and ML, with experience using libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
- Expertise in SQL and working with large, complex structured and semi-structured datasets.
- Strong understanding of machine learning techniques, including logistic regression, gradient boosting, decision trees, and clustering methods.
- Experience in feature engineering, model selection, and performance optimization.
- Experienced in designing, executing, analyzing and reading out experiments.
- Strong communication skills and ability to present findings to technical and non-technical stakeholders.
Responsibilities
- Design, develop, and deploy predictive classification and regression models, anomaly detection models and algorithms for credit risk assessment, building underwriting policies and other use cases.
- Conduct extensive EDA, feature engineering and data preprocessing to ensure high-quality input for ML models.
- Collaborate with product, engineering, and business teams to integrate predictive models into workflows.
- Evaluate and optimize model performance using statistical and ML techniques.
- Conduct exploratory data analysis to identify patterns and insights that inform model development.
- Design and execute A/B tests to measure and validate model impact.
- Implement model governance techniques and build model monitoring dashboards.
- Develop and implement model monitoring dashboards and model governance techniques.
- Work with analytics and data engineering teams to ensure efficient data pipelines and model deployment.
- Analyze diverse datasets to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation.
Preferred Qualifications
- Experience working in fintech, e-commerce, or other data-rich consumer-facing industries is a plus.
- Familiarity with Google Cloud Platform services, particularly VertexAI and Dataflow, for scalable data processing and model training.
- Experience using Scala programming language for developing scalable and efficient data pipelines.
- Experience with dbt for data modeling.
- Familiarity with BigQuery or other MPP databases.
