Minimum qualifications: BS or MS in Computer Science, Mathematics, Statistics, Data Science, Analytics, or related subjects 2+ years industry experience in predictive analytics and machine learning model building in a cross-functional environment Experience in Python and related Data Science libraries (Scikit Learn, Pandas, Numpy, XGBoost, LightGBM, Imbalance Learn, etc) Experience using SQL Experience working in a fast-paced agile environment. Preferred qualifications: Hands-on experience in designing, implementing and deploying models in AWS using SageMaker, Lambda, Redshift, S3, DynamoDB Written and verbal proficiency in English Experience with source code repositories like Git or Bitbucket Anchor Loans is the premier direct private money lender. Since 1998, Anchor has provided qualified developers and borrowers with quick bridge financing for non-owner-occupied properties. With headquarters in greater Los Angeles and a nationwide network, Anchor continues to expand into new markets. At the core of our company is our proprietary technology. We are seeking a Data Scientist (DS) to join our world-class technology team. DS will be involved in all aspects of machine learning model building, deploying and monitoring, as well as data analysis. Responsibilities: Analyze data and find insights to support business decisions Analyze data for completeness and usefulness for solving business problems Build datasets from various sources Prototype / Build POC models Transition POCs to production ready code Build preprocessing pipelines to handle imputation, encoding, and sampling Improve existing machine learning workflow Analyze production model performance / Maintain production models Deploy model pipelines to production and work with Engineering team to integrate into proprietary web applications