Position: Sr Lead Analytics Data Engineer

Location: Phoenix, AZ – priority Des Moines, IA – priority Charlotte, NC Minneapolis, MN San Antonio, TX (Hybrid model)

Term: 24 Months (W2 Contract only)

Full on w2 contract financial Client.

Experience in creating predictive models within SAS and Python on defined populations is required. Candidates should have hands-on experience with various predictive modeling techniques, such as linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks, etc. They should be able to apply these techniques effectively to solve real-world problems.

Additionally, candidates should have a strong understanding of the data they are working with. This includes data preprocessing, feature engineering, dealing with missing values, handling outliers, and selecting appropriate features for modeling. They should also have experience in ETL/ELT and data engineering tasks across multiple data sources.

Experience in optimizing SQL queries or optimizing dashboards for queries and reporting is preferred. Candidates should also have experience in shell scripting languages and the ability to write code that automates analytic processes in a long-term holding period.