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Staff Data Scientist - Credit Card (Remote)
Posted 30 days agoViewed
💎 Seniority level: Staff, 6+ years
🔍 Industry: FinTech
🗣️ Languages: English
⏳ Experience: 6+ years
Requirements:
- 6+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling
- 2+ year at a bank or FinTech working in predictive modeling or credit analytics is strongly preferred
- Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization Experience building predictive models from scratch
- Strong programming skills in Python with intermediate to advanced knowledge of SQL
- Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc.
- Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required
Responsibilities:
- Grow user base and increase retention through machine learning and analytics
- Build machine learning models with large scale data sets to address business priorities
- Design and influence strategies on underwriting, marketing, fraud and customer experience
- Work closely with our engineering team as you implement models in production
- Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context
- Develop data standards and analytics pipelines to facilitate current and future analysis
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