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.
Senior Analytics Engineer - Optimization & Automation
Overview:
The Analytics team at Airspace provides insights and intelligence that inform our product and business decisions. We are seeking a data-driven individual with a strong foundation in Python, automation, optimization, and statistical analysis to tackle complex challenges in time-critical logistics. This role is ideal for someone with a quantitative or technical background who excels in automation, working with external APIs, and advanced analytical techniques. You should be intellectually curious, results-oriented, and a technical problem solver than can identify business problems and build end-to-end solutions to address.
What You Will Do:
- Cross-Departmental Analytics and Insights: Collaborate with finance, product, and engineering teams to gather requirements and develop solutions that meet cross-functional goals. Use data mining, statistical analysis, and hypothesis testing to deliver actionable insights for financial modeling, cost optimization, and revenue impact. Present findings in accessible ways to support data-driven decision-making across teams.
- Automations and API Integrations: Develop automated solutions across the analytics stack, integrating with external APIs (e.g. logistics, pricing, financial) and creating scalable models and tools using technologies such as GCP Cloud Functions, custom Python scripts/apps, etc
- Optimization and Problem Solving: Work closely with product and engineering teams to develop optimization models for logistics operations, such as route efficiency, resource allocation, and dynamic pricing.
- 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 budgeting, cost forecasting, and pricing strategies, helping to drive data-informed decision-making.
- Advanced Statistical Analysis: Conduct A/B testing, hypothesis testing, causal impact analysis, and other statistical analyses to validate experiments and support strategic decisions.
What You Will Bring:
- Experience: Minimum 4+ years in data analytics, with a strong focus on Python programming, automation, API integrations, and statistical analysis.
- Advanced Python Skills: Proficiency in Python for data manipulation, workflow automation, and external API integrations.
- SQL Expertise: Ability to work with structured and semi-structured data using SQL.
- Optimization and Modeling Skills: Strong understanding of optimization techniques and financial modeling; background in A/B testing, hypothesis testing, causal analysis, and predictive modeling is a plus.
- Analytical and Problem-Solving Skills: Capacity to translate complex business problems into actionable insights using rigorous analytical techniques.
- Collaborative Mindset: A team player with a growth-oriented attitude, strong prioritization skills, and a commitment to continuous learning.
Outcomes:
- Deliver insights that drive measurable improvements in revenue growth, cost management, and operational performance.
- Develop a robust understanding of the data ecosystem, identifying opportunities for improved governance, infrastructure, and process automation.
- Champion a culture of data-driven decision-making by demonstrating the value of advanced analytics techniques and supporting stakeholders in leveraging tools like Looker, SQL, and Python.
Compensation:
- Competitive total salary: $120k - $150k
- 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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