Remote Geospatial & Radar Data Scientist

eBSI Export Academy; United States; Remote; USD 60,000 - 120,000; Full time

Job summary

eBSI Export Academy is seeking a Data Scientist to transform geospatial and radar data into actionable insights for transport and logistics on a global scale. The role offers remote collaboration with teams in the UK and South Africa and exposure to cutting-edge ML initiatives in a venture-backed environment.

Requirements include 3-5 years in data science, strong ML and predictive modeling skills, and proficiency in Python/SQL with cloud experience (GCP/AWS/Azure).

Qualifications

• Bachelor's/Master's/PhD in Statistics, Mathematics, Computer Science, Engineering, or related field.
• 3-5 years of professional data science experience with end-to-end project delivery.
• Proven expertise in machine learning and predictive modeling.
• Proficient in Python and SQL; experience in GCP or similar.
• Hands-on experience with geospatial data, GIS, or radar analytics is advantageous.

Responsibilities

• Design and develop ML models to analyze geospatial and radar data for transport and logistics.
• Translate datasets into actionable insights to optimize movement across sectors.
• Collaborate with international teams to design data-driven solutions.
• Improve data collection, processing, and predictive modeling methods for accuracy.
• Manage the full data science lifecycle from problem definition to deployment and monitoring.
• Contribute to building and scaling the data science function, with potential to mentor future team members.

Skills

Machine learning

Python

SQL

Geospatial analytics

Radar analytics

Data visualization

Cloud platforms

Education

Statistics/Math/CS/Engineering degree

Tools

scikit-learn

PyTorch

Pandas

Plotly

GIS

BigQuery

Job description

eBSI Export Academy is seeking a Data Scientist to transform geospatial and radar data into actionable insights for transport and logistics on a global scale. The role offers remote collaboration with teams in the UK and South Africa and exposure to cutting-edge ML initiatives in a venture-backed environment.

Requirements include 3-5 years in data science, strong ML and predictive modeling skills, and proficiency in Python/SQL with cloud experience (GCP/AWS/Azure).