Sr. Data Scientist Lead

Overview

Hybrid
$140,000 - $170,000
Full Time
10% Travel

Skills

Data Science
Data Scientist
Data Scientists
Azure DevOps
DevOps
Information Systems
Power BI
PowerBI
Python
agile
business acumen
cloud computing
data engineering
data pipelines
data preprocessing
data visualization
machine learning
energy efficiency
problem - solving
statistical analysis
storytelling
version control
Azure
Databricks
Spark
Azure ML

Job Details

Sr. Data Scientist Lead with Top International Commercial Vehicle Manufacturer

  • Lisle, Illinois (Hybrid)
  • Business Operations
  • Regular Full Time Employee
  • Salary range: $140,000 - $170,000 (DoE)

Job Description

Position Overview

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

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 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

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.