Role overview

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.
Significant experience analyzing and visualizing relatively large geospatial datasets.
Bachelor of Science in physical / environmental science, computer science, or a related field.

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.

Key facts

Remote from: Michigan (USA), New York (USA)
Full time
Junior (1-2 years)
Data Scientist
English

Hard skills

Machine Learning Statistical Thinking Geospatial Analysis Python (Programming Language) SQL (Programming Language) JScript Geographic Information Systems Data Visualization

Other skills

Collaboration
Communication
Time Management

About the company

Zeigler Automotive Group

Retail – Auto Dealerships

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.Besides its extensive automotive portfolio, the organization owns and operates Zeigler Motorsports, an 85,000-square-foot motorsports dealership and action park, offering 15 different powersports brands, plus its own onsite restaurant: Trak Houz Bar & Grill. Additionally, Zeigler Motorsports houses the Elevate Leadership & Team Building Academy, an executive training company.The Kalamazoo-based dealer group also owns and operates Zeigler Pre-Owned of Chicago, a Carquest Auto Parts store, three Byrider franchises, three finance companies, several insurance firms, and a leasing firm.Founded in 1975, the organization employs over 2,300 people and ranks among the top 1% of automotive dealers in the nation with annual sales for 2022 currently estimated at $2.2 billion. The family-owned and operated company is well known for its commitment to both customer service and employee satisfaction. Zeigler is regularly recognized as one of the Best and Brightest Companies to Work for in the Nation, also earning similar accolades in Chicago and Michigan.Our Company Values are: - Passion - Reputation - Integrity - Drive - Execution

Company details

Company typeLarge

IndustryRetail – Auto Dealerships

Company size1001 - 5000

Links

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Job description

About Zeigler Auto Group

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.