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- Level will be determined based on candidate's experience & qualificationsPartner closely with the data science and engineering teams to deploy and maintain industry-leading risk, fraud, and forecasting modelsBuild, enhance, and scale an end-to-end production pipeline for ML models from data transformation to scoringCreate intuitive and efficient processes for monitoring, tracing, profiling, and debugging of deployed modelsWork closely with the data science team and product owners to continuously evaluate and improve production modelsAnalyze customer dynamics and macroeconomic trends to optimize credit policy and influence business strategyLeverage your interpersonal skills to translate the complexity of your work into tangible business goalsAbout You ( Qualifications)2+ years of professional experience writing production code in python2+ years of experience deploying machine learning models2+ years of experience using SQLExperience with python packages commonly used in data science including pandas, numpy, xgboost, and scikit-learnUnderstanding of data structures, software design principles, and algorithmsBachelors degree in a quantitative or STEM field such as Statistics, Mathematics, Computer Science, or Machine LearningExperience with version control (e.g. Git)Experience developing and managing automated CI/CD pipelinesPreferred Qualifications1+ years of experience in a fast-moving start-up1+ years of experience with large microservice-based architectures and container orchestration frameworks such as Kubernetes and Docker1+ years of experience with AWSExperience with GraphQL, Snowflake, and Apache SparkMasters degree or PhD in a quantitative or STEM fieldExperience in financial servicesExperience with a serverless compute including AWS LambdaKnowledge of machine learning concepts and techniques, including Boosting, Random Forests, Decision Trees, and Bayesian modelsStrong analytic background with deep understanding of probability, statistics, and the fundamentals of predictive modeling algorithms#J-18808-Ljbffr
Data Scientist - Arlington, United States - Koalafi
Description
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.