BMW Manufacturing Co

Lead Data Scientist

BMW Manufacturing Co$181K — $201K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Data Science, Mathematics, IT, Engineering, or related field (foreign equivalents accepted) and 3 years of experience; or
  • Bachelor's degree in Data Science, Mathematics, IT, Engineering, or related field (foreign equivalents accepted) with 5 years of experience;
  • Experience with data visualization tools like Tableau or Amazon QuickSight;
  • Proficient in Python for programming and analytical coding;
  • Advanced skills in statistical analysis and machine learning;
  • Familiar with Hadoop, data lake technologies, and cloud data storage;
  • Experience with AWS and Azure cloud services and Agile methodologies.

Responsibilities

  • Lead analysis of critical business data across multiple products and domains;
  • Apply statistical, AI, and machine learning methods to recommend business improvements;
  • Manage enterprise-wide projects in smart analytics and data science initiatives;
  • Build and train advanced AI/ML models as needed;
  • Mentor junior data scientists and analysts on best practices;
  • Collaborate with stakeholders to enhance efficiency and competitive advantages;
  • Engage with external leaders on data science and AI/ML innovations.

Benefits

  • Hybrid work model with 3 days on-site;
  • Opportunity to mentor and develop junior talent;
  • Exposure to cutting-edge data science and AI/ML technologies;
  • Work on enterprise-scale projects that impact business strategy;
  • Engagement in cross-functional collaboration with various stakeholders.
Full Job Description
Job Title: Lead Data Scientist

Posting Start Date: 7/17/26

Job Location (Long):
Woodcliff Lake, New Jersey United States

Job Description:
Employer: BMW of North America, LLC

Job Title: Lead Data Scientist

Location: Woodcliff Lake, NJ

Salary: $181,712.96- $201,300.00/ year.

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.

Postion is based in Woodcliff Lake, NJ (Hybrid Position/3 days on site)

Requires:
  • 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.

About BMW Manufacturing Co

BMW Manufacturing Co is a subsidiary of BMW AG, a German multinational corporation that produces luxury vehicles and motorcycles. The company's manufacturing plant in Greer, South Carolina, is the largest BMW plant in the world by volume, producing over 400,000 vehicles annually. BMW Manufacturing Co was established in 1992 and has since become a major employer in the region, with over 11,000 employees. The plant produces a range of BMW models, including the X3, X4, X5, X6, and X7.
Learn more about BMW Manufacturing Co
Size
11,000 employees
Industry
Founded
1992

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