Lead Data Scientist
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At a glance
Requirements
Credentials this posting asks for.
Job overview
BMW Of North America LLC is hiring a Lead Data Scientist. The Lead Data Scientist will analyze business-critical data using statistical, AI, and machine learning methods, recommending improvements. This role involves working with large datasets, conducting advanced analytical tasks, and managing medium- to large-scale enterprise projects in smart analytics and data science. The Lead Data Scientist will also build and maintain AI/ML models, ensure their operational stability, and mentor junior data scientists and analysts.
Key focus areas include Lead the analysis of business-critical data across products, domains, and primes, Apply statistical, artificial intelligence, and machine learning methods, and recommend improvements, and Work with large data sets from inside and outside sources.
Successful candidates bring Master's Degree In Data Science, Mathematics, Information Technology, Engineering, Or Related Field Or Bachelor's Degree In Data Science, Mathematics, Information Technology, Engineering Or Related Field and 3 Years As A Data Scientist Or Related Occupation In Information Technology Or 5 Years As A Data Scientist Or Related Occupation In Information Technology. Important skills include Statistical Methods, Artificial Intelligence, Machine Learning, Data Conversions, ETL, and Filtering.
Skills & qualifications
Skills
Qualifications
Full job description
Experience Required
three (3) years
Minimum Education Required
Master's degree
Compensation
$181,712.96 - $201,300.00 / Yearly
Hours Per Week
40
Number Of Positions
1
Job Description
BMW of North America, LLC seeks Lead Data Scientist in Woodcliff Lake, NJ, to 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.
Requires: Master's degree in Data Science, Mathematics, Information Technology, Engineering, or related field (willing to accept foreign education equivalent) and three (3) years of experience as a Data Scientist or related occupation in information technology; or, alternatively, a 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. Hybrid position (3 days on site). Salary Range: $181,712.96-$201,300.00/year. To apply, visit www.bmwgroup.jobs/ JOB ID 192235.
Place of Work
Hybrid
Requisition ID
192235
Job Type
Full Time
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