Lead Data Scientist

BMW Of North America LLC.; Woodcliff Lake (NJ); Hybrid; USD 182,000 - 201,000; Full time

Job summary

BMW of North America, LLC in Woodcliff Lake, NJ is seeking a Lead Data Scientist to guide enterprise analytics. You will lead data-driven initiatives across products and domains, develop advanced AI/ML models, manage medium-to-large projects, and mentor analysts, ensuring robust IT architectures and secure deployments.

The role requires a Master’s degree (or Bachelor’s with 5 years) in data science or related fields, strong Python skills, experience with Tableau/QuickSight, Hadoop, cloud

Qualifications

• Master's degree or foreign-equivalent in data science, mathematics, IT, or engineering.
• 3 years (with Master’s) or 5 years (with Bachelor's) as a Data Scientist or related role.
• Proven experience with Python, ML, data visualization tools, and cloud services.

Responsibilities

• Lead analysis of business-critical data across products and domains using AI/ML methods.
• Work with large datasets, perform ETL, feature engineering, and model input prep.
• Manage medium-to-large enterprise projects, plan effort, and ensure security of AI/ML apps.
• Mentor junior data scientists and analysts and advocate latest analytics technologies.

Skills

Statistical analysis

Machine learning

Python programming

Agile project methodologies

Education

Master's degree in Data Science or related field

Bachelor's degree in Data Science or related field

Tools

Tableau

Amazon QuickSight

Hadoop

AWS

Azure

PostgreSQL

Oracle

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 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) and,
• 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.