Senior Data Scientist

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.
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

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

Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required