Data Scientist

Do you have a passion for data, analytics, and machine learning models? Koalafi is searching for an innovative Data Scientist with proven strengths in deploying and maintaining production ML models to join our team. The ideal candidate will not only possess the technical acumen to oversee our end-to-end decisioning platform but also have a solid background in predictive modeling and data science, ensuring they contribute insights beyond just writing code. This position will report to the Senior Director of Data Science and will also have contact with other senior leaders within the credit analytics, fraud, and technology teams. This person will work closely with our product and engineering teams and will have the opportunity to drive critical business outcomes for the company. 

*Level will be determined based on candidate's experience & qualifications*

• Partner closely with the data science and engineering teams to deploy and maintain industry-leading risk, fraud, and forecasting models

• Build, enhance, and scale an end-to-end production pipeline for ML models from data transformation to scoring

• Create intuitive and efficient processes for monitoring, tracing, profiling, and debugging of deployed models

• Work closely with the data science team and product owners to continuously evaluate and improve production models

• Analyze customer dynamics and macroeconomic trends to optimize credit policy and influence business strategy

• Leverage your interpersonal skills to translate the complexity of your work into tangible business goals

About You (Qualifications)

• 2+ years of professional experience writing production code in python

• 2+ years of experience deploying machine learning models

• 2+ years of experience using SQL

• Experience with python packages commonly used in data science including pandas, numpy, xgboost, and scikit-learn

• Understanding of data structures, software design principles, and algorithms

• Bachelor’s degree in a quantitative or STEM field such as Statistics, Mathematics, Computer Science, or Machine Learning

• Experience with version control (e.g. Git)

• Experience developing and managing automated CI/CD pipelines

Preferred Qualifications

• 1+ years of experience in a fast-moving start-up

• 1+ years of experience with large microservice-based architectures and container orchestration frameworks such as Kubernetes and Docker

• 1+ years of experience with AWS

• Experience with GraphQL, Snowflake, and Apache Spark

• Master’s degree or PhD in a quantitative or STEM field

• Experience in financial services

• Experience with a serverless compute including AWS Lambda

• Knowledge of machine learning concepts and techniques, including Boosting, Random Forests, Decision Trees, and Bayesian models

• Strong analytic background with deep understanding of probability, statistics, and the fundamentals of predictive modeling algorithms