Data Scientist Lead- Brand - Method Recruiting

Overview:

International is seeking a highly skilled and experienced Data Scientist Lead to join our Analytics team.

As the commercial vehicle industry undertakes its most significant transformation in a century, International is on a mission to redefine transportation. Embracing a bold digital transformation, International is ushering in a new era of complete and sustainable transport solutions.

 

The ideal candidate will be responsible for developing analytic models and solutions with a focus on vehicle electrification and parts supply chain. You will work on challenging and high-impact projects that leverage data from various sources and systems to optimize vehicle performance, energy efficiency, and parts availability.

 

This role requires a well-rounded individual with not only experience in modeling but also in visualization, data engineering, storytelling, and agile methodologies.

 

Responsibilities:

• Gather, organize, and interpret structured and unstructured data from multiple internal and external sources
• Analyzing large and complex datasets to identify trends, patterns, and insights to measure performance and inform business growth or cost savings opportunities
• Extract key results from uncleansed data, and succinctly summarize findings to both technical and non-technical stakeholders
• Work independently, but recognize where key points of collaboration are required to facilitate wider product development
• Experience in time series forecasting models, statistical methods such as (S)ARIMA, exponential smoothing or machine learning algorithms for demand forecasting
• Staying updated with the latest trends and developments in data science, vehicle electrification, and supply chain optimization
• Research new theories and technologies to solve business problems
• Demonstrate resilience in dealing with ambiguity/uncertainty and translating vague requests into actionable insights

 

Qualifications:

• Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field
• At least 5 years of analytics or statistical analysis experience

OR

• Master’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field
• At least 3 years of analytics or statistical analysis experience

OR

• PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field