Junior Data Scientist

Zeigler Automotive Group; New York (NY); On-site; USD 75,000 - 110,000; Full time

Benefits offered by this job

Competitive pay scale

Culture of inclusion and diversity

Collaborative work environment

Job summary

A leading automotive firm in New York City is seeking a Junior Data Scientist to analyze complex data sets, identify trends, and develop machine learning algorithms. Candidates should have a Bachelor's degree in a relevant field and experience with geospatial data analysis. The role offers competitive pay and a culture of inclusion, focusing on collaboration and impactful work. Join a team dedicated to improving climate forecasts and human-natural systems dynamics.

Qualifications

• Ability to write well-documented and structured code.
• Understanding of statistics, including probability theory and time-series analysis.
• Experience analyzing and visualizing large geospatial datasets.
• Bachelor's degree in a relevant field such as computer science or environmental science.

Responsibilities

• Analyze and interpret complex data sets to identify patterns and trends.
• Develop and implement machine learning models and algorithms.
• Collaborate with the Innovation team to create novel products and services.
• Incorporate new tools into core products with the Engineering team.
• Share findings with various stakeholders.

Skills

Data analysis

Machine learning

Geospatial datasets visualization

Communication skills

Jupyter Notebook

Education

Bachelor of Science in a relevant field

B.S. in Environmental Science

Tools

Python

R

GitHub

Jupyter Notebook

Job description

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

• 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
• 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.