About this role
Employer: BMW Financial Services NA, LLC Job Title: Lead Data Scientist Location: Woodcliff Lake, New Jersey (Hybrid) Salary Range: $172,994.00/year - $201,000.00/year
Duties
- Perform data discovery and build predictive and prescriptive models using machine learning algorithms and statistical methods.
- 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.
- Present complex results in a clear, accessible way for non-technical stakeholders.
- 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.
- Use statistical tools/platforms including SAS, Python, and R to develop data-driven solutions to difficult business challenges.
- Partner with business stakeholders to identify and develop innovative modeling solutions and implement necessary monitoring to deploy models in production.
- Use standardized processes for managing the lifecycle of models and use appropriate tools to monitor and analyze model performance and data accuracy.
- Provide data and analytics to assist with budget development.
- Translate business objectives to data science problems and vice versa.
Education & Experience
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, driving model development, cloud analytics, and data-driven insights to support business decisions and stakeholder engagement; or, alternatively, a Bachelor’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering or related field (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Scientist or related occupation, driving model development, cloud analytics, and data-driven insights to support business decisions and stakeholder engagement.
Specific skills/other requirements - Experience must include (quantitative experience requirements not applicable to this section): 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.
Hybrid role - 3 days per week in office. Up to 5% domestic travel required.