Senior Data Scientist (Remote)

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Requirements:

• BS degree in engineering, computer science, finance or mathematics
• 4+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling
• 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
• Comfort working with a variety of cross functional partners in tech, product, credit, and business
• Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience

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