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Senior Data Scientist - Optimization & Automation
Airspace Technologies - Carlsbad, CA
posted 4 days ago
About the position
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.
Responsibilities
- 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.
- Build automated pipelines to streamline data workflows, integrating with external APIs using technologies like Python and GCP Cloud Functions.
- Partner with product, revenue, operations and finance teams to align data science initiatives with business objectives, translating requirements into robust, data-driven solutions.
- 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.
- Create and maintain financial models to support pricing strategies, budgeting, and cost forecasting, helping to drive data-informed decision-making.
- Conduct rigorous statistical analyses, including A/B testing, hypothesis testing, causal impact modeling, and predictive analytics, to validate experiments and inform strategic decisions.
Requirements
- 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.
- Expertise in Python, with a focus on building scalable data pipelines, automation scripts, and API integrations.
- Advanced knowledge of SQL for working with structured and semi-structured data.
- Deep understanding of optimization techniques, including linear programming, mixed-integer programming, and heuristics.
- Advanced understanding of statistical methods, experimental design, and causal inference.
- Demonstrated ability to break down complex problems, identify root causes, and design scalable, data-driven solutions.
- Strong communication and collaboration skills with an ability to work cross-functionally and influence technical and non-technical stakeholders.
Benefits
- Competitive total salary: $140k - $180k
- 401K program
- High-quality health and dental care plan options
- Lunches
- Onsite gym
