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, and heuristics. Experience in solving operational or logistics-related problems is highly valued.
- Statistical and Analytical Skills: Advanced understanding of statistical methods, experimental design, and causal inference.
- Problem-Solving Mindset: Demonstrated ability to break down complex problems, identify root causes, and design scalable, data-driven solutions.
- Team Collaboration: Strong communication and collaboration skills with an ability to work cross-functionally and influence technical and non-technical stakeholders.
Outcomes:
- Deliver advanced optimization and predictive models that drive measurable improvements in operational efficiency and cost reduction.
- Automate key processes across the analytics stack to improve efficiency and scalability.
- Enable stakeholders to make data-driven decisions by developing tools, dashboards, and insights that simplify complex data.
- Contribute to a culture of innovation by introducing advanced data science techniques and mentoring team members.
Compensation:
- Competitive total salary: $140k - $180k
- 401K program, high-quality health, and dental care plan options
- lunches, onsite gym, and more
Core Values:
- We are One Team. We believe we all accomplish more when we are working together.
- We make an Impact. We are determined to have a positive influence on our environment, our customers, our industry, and our world.
- We are Passionate. We care deeply about our mission and are not afraid to raise the bar.
- We are Transparent. We pride ourselves on having open, honest, and sincere communication with our team and customers.
- We are Innovative. We never settle and are always striving to improve our product, service, and ourselves.
About Airspace:
From life-saving organs to essential machinery components, Airspace is trusted by the world’s largest companies and most critical healthcare organizations to move their most time-sensitive shipments on time, every time. Our proprietary AI-powered platform is the most advanced of its kind- awarded and protected by multiple patents, it provides speed, reliability, and transparency unrivaled in time-critical logistics. We are thinkers, builders, and doers; from building and deploying AI in the world to assembling a world-class operations team, Airspace is on a hypergrowth trajectory while remaining hyper-focused on the needs of our customers and team members.
With offices in the United States in Carlsbad, CA, Dallas, TX, and in Europe in Amsterdam, Frankfurt, Stockholm, and London, we are rapidly scaling into new markets and industries while continuing to innovate and maximize value for our customers. Backed by leading investors including Telstra, HarbourVest, Prologis, Qualcomm, Defy, and others, Airspace has raised $140M to date.
Join our team of 300+ technologists, futurists, and industry veterans as we work as One Team to revolutionize time-critical logistics.
Airspace is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, Airspace participates in the E-Verify program for all locations.
For this role the acquisition of recruitment agencies is not appreciated, thank you for your understanding.
Top Skills
What We Do
At Airspace, we know that failure is not an option. We ship anything from organs for transplant to aircraft parts that could cause delays across the nation. We focus on time-critical shipments because they matter.
By building an industry-first automated platform, we provide you with complete visibility from the moment your order is placed to the moment it is delivered.
Our platform was created to eliminate the transparency issues and challenges that are so prevalent in the logistics industry today to create the most trusted delivery network the world has ever seen.
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