Lead Data Scientist

Duties: Lead the analysis of business-critical data across products, domains, and primes, applying statistical, artificial intelligence, and machine learning methods, and recommend improvements; work with large data sets from inside and outside sources and conduct advanced analytical tasks, including data conversions, ETL, filtering, fusion, aggregations, data mining, feature engineering, and model input preparation; manage medium- to large-scale enterprise-wide projects in the area of smart analytics and data science initiatives, including project planning, effort estimation, and cost assessment, using Agile project delivery methodologies; build and maintain advanced AI/ML models and train them as necessary; ensure operational stability and security of AI/ML applications; mentor and guide junior data scientist and analysts for best AI/ML development practices and project delivery; advise on latest data analytics, data science, machine learning, and artificial intelligence technologies and digitalization transformation; perform development from complex data analyses using enterprise and cloud-native databases for business use in understanding data that impact strategy, sustainability, risk, and P&L; lead the preparation, documentation, and review of standard operating procedures and protocols for data science and analytical models, as well as required system documentation; define new disruptive processes, approaches, and tools in the space of data science and machine learning; collaborate with team members and stakeholders across multiple domains to build systems and processes that improve efficiency and competitive posture; create technology/process vision across BMW of North America; engage with business stakeholders to understand problem statements and identify opportunities for leveraging data and analytics to address key business needs; support development of robust IT system architectures for AI/ML systems, including deployment and operation on cloud platforms; and, communicate with external leaders on data science, AI/ML products and relevant organizations.

• Master’s degree in Data Science, Mathematics, Information Technology, Engineering, or related field (willing to accept foreign education equivalent)
• Three (3) years of experience as a Data Scientist or related occupation in information technology; or alternatively
• Bachelor’s degree in Data Science, Mathematics, Information Technology, Engineering or related field (willing to accept foreign education equivalent) and,

• Five (5) years of experience as a Data Scientist or related occupation in information technology.

• Experience must include (quantitative experience requirements not applicable to this section): Tableau, Amazon QuickSight, or similar data visualization tools; programming and Analytical Coding using Python; advanced statistical analysis and machine learning; data lake and data hub technologies, including Hadoop, cloud data storage, and data mining solutions; Oracle, Postgres SQL or cloud-native databases; AWS and Azure cloud services; and, Agile project methodologies.