Junior Data Scientist
About Zeigler Auto Group
Zeigler Automotive Group is one of the largest privately-owned dealer groups in the U.S. with 78 franchises across 35 locations in Wisconsin, Illinois, Indiana, and Michigan. Vehicle brands represented include all of the domestic and the majority of the imported manufacturers.
As a Junior Data Scientist, you will be tasked with analyzing and interpreting complex data sets to identify patterns and trends across a broad spectrum of spatial and temporal scales. You will collaborate closely with other members of the innovation and data science teams to develop and implement algorithms that can be used to improve climate forecasts and uncover novel human-natural system dynamics.
Responsibilities:
Identify patterns and trends by analyzing and interpreting complex data sets
Develop and implement models and algorithms for machine learning
Develop novel products and services in collaboration with the Innovation team
Work with Engineering to incorporate new tools into the core product.
Share findings and insights with a variety of stakeholders.
Qualifications:
Capability to write code that is well-documented and well-structured.
A fundamental comprehension of statistics, including familiarity with probability theory and time-series analysis, is required.
Significant experience analyzing and visualizing relatively large geospatial datasets.
Bachelor of Science in physical / environmental science, computer science, or a related field.
Preferred Skills:
Familiarity with Python (knowledge of R, SQL, or JavaScript is a plus).
Experience with collaborative data development (Jupyter Notebook and GitHub familiarity is a plus).
Experience manipulating geospatial data (GIS) in Python or R (QGIS, Whitebox, or GRASS knowledge is a plus).
Experience conveying intricate findings to non-technical audiences.
What we provide:
Competitive pay scale.
Stock ClimateAi strategy.
Medical, dental, vision benefits.
Annual budget for education.
Allowable Time Off policy.
Flexible employment schedules.
A culture of inclusion and diversity that includes employee resource groups.
Work with interesting individuals and contribute to a mission to better the world.
Compensation
Experience-appropriate and aligned with the highest standards of the city you will be working from.
Our company is an equal-opportunity employer that values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or veteran status.
Apply Now
Zeigler Automotive Group is one of the largest privately-owned dealer groups in the U.S. with 78 franchises across 35 locations in Wisconsin, Illinois, Indiana, and Michigan. Vehicle brands represented include all of the domestic and the majority of the imported manufacturers.
As a Junior Data Scientist, you will be tasked with analyzing and interpreting complex data sets to identify patterns and trends across a broad spectrum of spatial and temporal scales. You will collaborate closely with other members of the innovation and data science teams to develop and implement algorithms that can be used to improve climate forecasts and uncover novel human-natural system dynamics.
Responsibilities:
Identify patterns and trends by analyzing and interpreting complex data sets
Develop and implement models and algorithms for machine learning
Develop novel products and services in collaboration with the Innovation team
Work with Engineering to incorporate new tools into the core product.
Share findings and insights with a variety of stakeholders.
Qualifications:
Capability to write code that is well-documented and well-structured.
A fundamental comprehension of statistics, including familiarity with probability theory and time-series analysis, is required.
Significant experience analyzing and visualizing relatively large geospatial datasets.
Bachelor of Science in physical / environmental science, computer science, or a related field.
Preferred Skills:
Familiarity with Python (knowledge of R, SQL, or JavaScript is a plus).
Experience with collaborative data development (Jupyter Notebook and GitHub familiarity is a plus).
Experience manipulating geospatial data (GIS) in Python or R (QGIS, Whitebox, or GRASS knowledge is a plus).
Experience conveying intricate findings to non-technical audiences.
What we provide:
Competitive pay scale.
Stock ClimateAi strategy.
Medical, dental, vision benefits.
Annual budget for education.
Allowable Time Off policy.
Flexible employment schedules.
A culture of inclusion and diversity that includes employee resource groups.
Work with interesting individuals and contribute to a mission to better the world.
Compensation
Experience-appropriate and aligned with the highest standards of the city you will be working from.
Our company is an equal-opportunity employer that values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or veteran status.
Apply Now