Sr. Data Scientist Lead Job # 56548 Job Post Information* : Posted Date 2 weeks ago(4/12/2024 5:29 PM) Job Locations US-IL-Lisle Internal Title Data Scientist Lead Sr Org Level S06 # of Positions 1 ERP Eligibility Eligible for Data Science Salary Employee Referral Bonus, $5000 after 30 days of Employment Position Overview

Navistar 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.

 

 

 

 

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.

Minimum Requirements Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative fieldAt least 8 years of analytics or statistical analysis experience1 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 fieldAt least 6 years of analytics or statistical analysis experience1 year of lead experience

OR

PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative fieldAt least 3 years of analytics or statistical analysis experience1 year of lead experience Additional Requirements 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) Desired Skills

· 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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