Role Overview
Employer: BMW Financial Services NA, LLC. Hybrid role – 3 days per week in office. Up to 5% domestic travel required. Perform data discovery and build predictive and prescriptive models using machine learning algorithms and statistical methods.
What You Will Do
Apply data mining, analysis, modeling, and simulation techniques using standard tools and statistical methods. Build and implement models and algorithms following MDLC/MLOps and internal development standards.
Why It Might Be a Fit
Contribute to the planning and conversion of on premise data and analytics systems conversion to the Cloud in conjunction with IT. Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
Requirements
- Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering or related field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Scientist or related occupation
- Experience must include developing predictive models, reports, and dashboards using BI tools; building and deploying statistical and machine learning solutions using linear/logistic regression, support vector machines, deep neural networks, and Random Forest; managing, retrieving, and manipulating data from databases; performing project management using JIRA or any other project management software; utilizing SQL, Python, and R to analyze data, automate processes, and build predictive models; using AWS to deploy applications, manage cloud infrastructure, and optimize data storage; and, processing large-scale data, running fast queries, and analyzing distributed datasets using Hadoop, Presto, and Athena.
To apply for this job please visit jobs.bmwgroup.com.
Follow us on social media