Junior Data Scientist - Geospatial & Climate Analytics

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.

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

Education

Bachelor of Science in a relevant field

Tools

Python

R

GitHub

Jupyter Notebook

Job description

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.