Sr. Data Scientist (Stealth Airline Maintenance SaaS)

ATX

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Company Overview:UP.Labs is seeking a hands-on Sr. Data Scientist with a proven track record of building products from 0 to 1 to lead data strategy and execution for a rapidly scaling SaaS startup focused on aircraft maintenance planning
Role Overview
  • Lead the data science strategy and execution for aircraft maintenance planning, with a core focus on optimizing scheduling, staff availability/schedules predictions, flight delay predictions and turnaround times.
  • Build and scale models that integrate operational constraints, near real-time data, and predictive insights to support automated (at first semi-automated) maintenance planning decisions.
  • Collaborate cross-functionally with engineering, product, and domain experts to deploy models into production and deliver measurable business impact.

Qualifications
  • Strong experience in applied ML, optimization, or operations research (e.g., staff/asset/route planning, scheduling, supply chain, logistics, or manufacturing).
  • Deep hands-on skills with Python, SQL, and common ML/optimization libraries and MLOPs libraries (e.g., scikit-learn, XGBoost, MLFlow, Gurobi, OR-Tools).
  • Proven experience deploying models in production environments (batch or real-time).
  • Familiarity with aviation or airline maintenance data a strong plus (but not required).
  • Experience working in cross-functional teams with engineers, product managers, and business stakeholders.

UP.Labs Summary:
We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.
Our platform is unique in three ways:
  1. Risk: We reward our entire team and ecosystem of partners with meaningful equity
  2. Technology: We build and launch scalable technology products that form the basis for each venture
  3. Industry Focus: We stay focused on the underlying fabric of society mobility and transportation

We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle: from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business. We rapidly ideate concepts from scratch and vet them for early indicators of product-market fit.
Location: Hybrid in Austin, TX
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Data strategy Engineering Machine Learning MLFlow MLOps Python Research Scikit-learn SQL XGBoost

Perks/benefits: Equity / stock options Startup environment

Region: North America
Country: United States

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