Senior Data Scientist - Optimization & Automation

Company Introduction:

Airspace is a tech-enabled freight forwarder that’s redefining how the world’s most critical packages are delivered. Headquartered in Carlsbad, California, Airspace has employees who are based around the world. Our European headquarters is in Amsterdam, The Netherlands.

As a recognized leader in AI and machine learning, our team leverages data and patented technology to coordinate logistics across a global network of drivers and airlines. Our goal is to deliver those packages that are truly mission-critical in a way that is faster, more transparent, more secure, and more accountable than ever before. The items we deliver range from organs for transplant, to parts for critical machinery including grounded aircraft and highly sensitive components such as semiconductors.  

Airspace has been rated one of America’s best Startup Employers, listed as one of CNBC’s Disruptor 50 companies, and featured as an Innovation and Disruption leader by CBS News. Airspace has the support of leading investors such as Telstra Ventures, HarbourVest Partners, Defy Partners, DBL Partners, and Scale Ventures. To date the company has raised more than $140m. 

The company is growing rapidly and serving more places around the world than ever before. We are looking for passionate, motivated individuals who want to make an IMPACT every day to help us execute on our mission of reshaping the world of time-critical logistics. 

Overview:

The Data & Analytics team at Airspace delivers impactful insights and builds intelligent solutions that drive our product and business strategies. We are seeking a results-oriented individual with expertise in Python, optimization, statistical analysis, and automation to solve complex problems in time-critical logistics. This role is tailored for a technical and quantitative expert who thrives on creating end-to-end solutions, from identifying business challenges to deploying scalable, automated models and tools.

What You Will Do:

• Optimization Models for Logistics Operations: Collaborate with product and engineering teams to design and implement optimization models for logistics, focusing on dynamic pricing, route efficiency, resource allocation, and other complex challenges.
• Automation and API Integrations: Build automated pipelines to streamline data workflows, integrating with external APIs (e.g., logistics, pricing, and financial systems) using technologies like Python and GCP Cloud Functions.
• Cross-Functional Collaboration: Partner with product, revenue, operations and finance teams to align data science initiatives with business objectives, translating requirements into robust, data-driven solutions.
• KPI Definition and Tracking: Establish and track key product and business KPIs. Build models, reports, and automated insights to monitor key metrics, identify underlying drivers, and recommend actionable changes.
• Financial Modeling: Create and maintain financial models to support pricing strategies, budgeting, and cost forecasting, helping to drive data-informed decision-making.
• Advanced Statistical Analysis: Conduct rigorous statistical analyses, including A/B testing, hypothesis testing, causal impact modeling, and predictive analytics, to validate experiments and inform strategic decisions.

What You Will Bring:

• Experience: Minimum 4+ years in data science or related field, with a strong focus on Python programming, automation, API integrations, and statistical analysis. A Masters degree or PhD in data science, computer science, or related quantitative field is desirable.
• Python Proficiency: Expertise in Python, with a focus on building scalable data pipelines, automation scripts, and API integrations.
• SQL and Data Manipulation Skills: Advanced knowledge of SQL for working with structured and semi-structured data.
• Optimization Expertise: Deep understanding of optimization techniques, including linear programming, mixed-integer programming, an