Data Scientist

**Local candidates only***Basic Qualifications:Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data scienceExperience with R, RStudio, Python, SAS, SQL, NoSQLPreferred Qualifications:Up-to-date knowledge of machine learning and data analytics tools and techniquesKnowledge in predictive modeling methodologyExperienced at leveraging both structured and unstructured data sourcesWillingness and ability to learn new technologies on the jobWork and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packagesWork and/or educational experience with big data analysis tools and techniquesFoundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelinesUnderstanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modelingExperience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)Financial Services background