Data Science / Discrete Optimization Engineer

Dallas, TX

Applications have closed

Alto

Unlock a new kind of car service with professional employee drivers and luxury SUVs.

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About Alto

Alto is on a mission to redefine the rideshare experience for passengers, drivers, and employees alike. Through our business model of professional employee drivers and a dedicated fleet of luxury vehicles, we are turning rides into exceptional experiences by delivering industry-leading safety, consistency, and personalization. As the first vertically-integrated fleet manager and ridesharing service, we are also committed to leading the industry by transitioning our entire fleet to electric vehicles. We are rapidly growing and accelerating towards a nationwide expansion. Today, we operate in Los Angeles, Dallas, Washington D.C., Miami, San Francisco, and Houston.

Alto is a destination for innovative, intellectually curious, and forward thinking people. Learn more about us here.

Position Overview

Alto's Technology and Engineering team is looking for a Data Science | Operations Research | Decision Support Engineer to join our optimization team. This person will have an immediate and meaningful impact on a high-growth startup and make changes that drive us forward. With a high degree of autonomy, you will get to work on solutions to complex problems, such as driver scheduling and routing/navigation efficiency and optimization.

What you'll do:

  • Design, create, and tune discrete optimization and/or machine learning models to power decision support tools for our fleet operations team
  • Prepare, design, and analyze data to test, develop and evaluate a model's effectiveness
  • Continue to evaluate and improve models over time
  • Launch models in close partnership with Alto's engineering team
  • Stay up-to-date with the newest tools and techniques and help Alto integrate them when appropriate
  • Provide technical leadership and collaborate with other team members across engineering, DevOps, product, customer support, operations, and others 

What you bring to the table:

  • 5+ years experience building enterprise-class applications
  • 5+ years experience writing applications in Java, Python or NodeJS
  • Working knowledge of optimization methods (LP, MILP, CP, etc.) and related tools
    • and/or working knowledge of time series forecasting methods and techniques
    • and/or working knowledge of VRP systems (jsprit/graphhopper) all a big plus
  • Previous experience with fleet operations and analytics, related transportation or logistics experience
  • Previous experience launching and maintaining data pipelines, Optimization, or MLOps workflows
  • Previous experience with Kubeflow or similar technologies
  • Experience and commitment to building robust, well-tested applications
  • Experience with modern relational and non-relational database platforms
  • Experience with Git (and Git-Flow patterns)
  • Familiarity with AWS or GCP cloud based tools and workflows
  • Excellent communication skills, a positive attitude, and self-motivated
  • Ability to operate in an agile, entrepreneurial start-up environment

What's In It For You

  • Salary, bonus and equity in an innovative startup
  • Monthly credit to ride Alto, plus membership!
  • Medical, dental and vision benefits
  • 401k with 100% company match up to 4%
  • Professional development reimbursement up to $1,000
  • Unlimited time off, plus 11 company holidays

** Alto does not partner with external recruitment vendors, agencies or firms on any searches. **

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Data pipelines DevOps Engineering GCP Git Java Kubeflow Machine Learning ML models MLOps Node.js Pipelines Python RDBMS Research

Perks/benefits: 401(k) matching Career development Equity Health care Salary bonus Startup environment Unlimited paid time off

Region: North America
Country: United States
Job stats:  14  1  0
Category: Engineering Jobs

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