- 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.
- 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
- 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
- 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
- Qualified candidates, excluding current Navistar employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. Navistar does not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)
- Professional experience with a variety of machine learning algorithms, including supervised and unsupervised learning, classification, regression, and forecasting.
- Strong programming skills using Python and tools such as Synapse, Databricks, and Jupyter Notebooks.
- Strong problem-solving skills and business acumen. Ability to deal with ambiguity and find creative ways to solve problems.
- Comfortable with collaboration on code development and version control using Git.
- Proficiency in data engineering principles and use languages including SQL, Python, and Spark for data preprocessing.
- Experience with cloud computing, preferably Azure.
- Demonstrated ability in data visualization and storytelling to effectively communicate findings through tools such as PowerBI, Streamlit, or other visualization tools.
- Experience with agile methodologies and project management using tools such as Azure DevOps
- Capable to lead and mentor junior team members.
- Ability to work within cross functional teams including Data Engineers, Analysts, Domain Experts, Product Owners, and other Data Scientists.
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Sr. Data Scientist Lead - Lisle, United States - Navistar
Description
Position OverviewNavistar 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, Navistar is on a mission to redefine transportation.
Embracing a bold digital transformation, Navistar 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.
ResponsibilitiesNavistar, Inc.
("Navistar") is a purpose-driven company, reimagining how to deliver what matters to create more cohesive relationships, build higher-performing teams and find solutions where others don't.
Based in Lisle, Illinois, Navistar or its subsidiaries and affiliates produce International brand commercial trucks and engines, IC Bus brand school and commercial buses, all-makes OnCommand Connection advanced connectivity services, and Fleetrite, ReNEWeD and Diamond Advantage brand aftermarket parts.
With a history of innovation dating back to 1831, Navistar has more than 14,500 employees worldwide and is part of TRATON SE, a global champion of the truck and transport services industry.
Additional information is available atAccelerating the Impact of Sustainable Mobility
Visit us at to discover more about our organization
Navistar is an Equal Opportunity Employer.
We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
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