Lead Data Scientist
At a glance
Senior Data Science role at BMW Group. Woodcliff Lake · $181,712–$201,300 base.
dataroles summary, based on the employer's posting.
What you'll do
- Analyze business-critical data across products and domains, applying statistical and AI methods to recommend improvements
- Prepare large internal and external datasets through ETL, filtering, data fusion, aggregation, feature engineering, and model-input preparation
- Plan and estimate enterprise analytics projects, assess costs, and deliver work using Agile methods
- Build and train AI and machine-learning models, then maintain their security and operational stability
- Guide junior data scientists and analysts, shape analytics procedures, and support cloud-based AI system architecture
What you bring
- A relevant master’s degree plus three years in data science or related IT work, or a relevant bachelor’s degree plus five years
- Hands-on Python, advanced statistics and machine learning, plus Tableau, QuickSight, or comparable visualization experience
- Experience with Hadoop or other data lake and hub technologies, Oracle, Postgres SQL or cloud-native databases, and AWS and Azure
- Working knowledge of Agile project delivery
Who this fits
This senior role suits someone who can lead analytics projects while still building models and working directly with data. You’ll also guide junior colleagues and work with stakeholders across business domains. The position is hybrid, with three days on site in Woodcliff Lake, New Jersey.
From the employer
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) 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.
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