Senior Data Scientist - Optimization & Automation

Airspace

Airspace is a leading tech-enabled freight forwarder specializing in delivering critical packages globally. The company is headquartered in California with a strong international presence. Renowned for its AI and machine learning prowess, Airspace seeks to make logistics faster, more secure, and transparent. The team drives innovation in time-critical transportation, delivering items that range from medical organs to sensitive tech components.

In this role you can expect to have the responsibilities:

• Design and implement optimization models for logistics operations including dynamic pricing and resource allocation.
• Develop automated data pipelines and integrate with external APIs using Python and GCP Cloud Functions.
• Collaborate with cross-functional teams to align data science initiatives with business objectives.
• Define and track key performance indicators, creating models and reports to monitor metrics.
• Develop financial models to support pricing strategies and budgeting.
• Conduct advanced statistical analyses and predictive modeling to inform strategic decisions.

This role comes with the following benefits:

• 401K program
• High-quality health and dental care plans
• Onsite gym and provided lunches

This role requires you to have:

• 4+ years of experience in data science or related fields.
• Strong proficiency in Python for data pipelines and API integrations.
• Advanced SQL skills and understanding of data manipulation.
• Expertise in optimization techniques and operational problem solving.
• Deep knowledge of statistical methods and experimental design.
• Strong problem-solving skills and ability to design scalable solutions.

You would benefit from having:

• Masters or PhD in data science, computer science, or a related quantitative field.

Airspace promotes a culture of innovation and offers equal employment opportunities. The company maintains a strong commitment to diversity and inclusion, leveraging an open and transparent work environment.