Method Recruiting
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http://www.methodrecruiting.com
http://www.methodrecruiting.com
USD
150000
YEAR
true
Overview:
Our Client is seeking a highly skilled and experienced Sr. Data Scientist Lead to join our Analytics team.
As the commercial vehicle industry undertakes its most significant transformation in a century, our client is on a mission to redefine transportation. Embracing a bold digital transformation, our client 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.
You will also lead and mentor other data scientists and analysts in the team and share your knowledge and best practices.
Responsibilities:
· Applying advanced statistical and machine learning techniques to build predictive and prescriptive models for vehicle electrification and supply chain optimization.
· Creating data pipelines and workflows to ingest, process, and analyze large and complex data sets from various sources and systems.
· Developing and deploying scalable and robust solutions using cloud-based platforms and tools such as Databricks, Spark, and, and Azure ML.
· Visualizing and communicating the insights and recommendations to various audiences using tools such as Python and Power BI.
· Working in an agile environment and following the best practices of version control, testing, and documentation using tools such as git and Azure DevOps.
· Staying updated with the latest trends and developments in data science, vehicle electrification, and supply chain optimization.
· Lead and mentor junior team members, fostering an environment of continuous learning and growth.
Qualifications:
OR
OR
Senior Data Scientist Lead (Brand)
Job Description
Overview:
Our Client is seeking a highly skilled and experienced Sr. Data Scientist Lead to join our Analytics team.
As the commercial vehicle industry undertakes its most significant transformation in a century, our client is on a mission to redefine transportation. Embracing a bold digital transformation, our client 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.
You will also lead and mentor other data scientists and analysts in the team and share your knowledge and best practices.
Responsibilities:
· Applying advanced statistical and machine learning techniques to build predictive and prescriptive models for vehicle electrification and supply chain optimization.
· Creating data pipelines and workflows to ingest, process, and analyze large and complex data sets from various sources and systems.
· Developing and deploying scalable and robust solutions using cloud-based platforms and tools such as Databricks, Spark, and, and Azure ML.
· Visualizing and communicating the insights and recommendations to various audiences using tools such as Python and Power BI.
· Working in an agile environment and following the best practices of version control, testing, and documentation using tools such as git and Azure DevOps.
· Staying updated with the latest trends and developments in data science, vehicle electrification, and supply chain optimization.
· Lead and mentor junior team members, fostering an environment of continuous learning and growth.
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 8 years of analytics or statistical analysis experience
- 1 year of lead 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 6 years of analytics or statistical analysis experience
- 1 year of lead experience
OR
- PhD 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
- 1 year of lead experience
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