FreshRemote.Work

Senior Data Scientist, Operations Research

Remote, USA

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

About The Role

As a Senior Data Scientist (Operations Research), you’ll be directly embedded in a team of talented data scientists to help define, build, and operate sophisticated models to answer hard questions centered around improving our logistics network and user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology.  You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho.

Responsibilities include

  • Develop and implement models and algorithms to solve complex problems using operations research, statistics, and machine learning technologies

  • Partner with functional areas (last mile, middle mile, ground operations, network planning) to develop tools to optimize our network across the board

  • Deep dive into current operations research solutions to develop insights and provide recommendations

  • Implement operations research improvement initiatives that impact metrics and streamline network operations

What you bring:

  • Master’s degree or PhD in operations research plus 3+ years developing and deploying optimization, predictive, and machine learning models

  • Strong knowledge in operations research concepts such as linear (LP), nonlinear (NLP) and mixed-integer programming (MIP), network optimization, and simulation

  • Experience implementing and tuning mathematical solvers like OR-Tools, CPLEX, Gurobi, Xpress, COIN-OR

  • Expert SQL and Python skills

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Team Up, Drive Impact, Take Ownership, Solve Bigger, Obsess Over Experience, Make Today Count) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. 

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.

By providing your phone number you consent to possibly be texted in relation to the job you are currently applying. You are free to opt-out at any time if texting communication occurs from Veho.

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Job Profile

Regions

North America

Countries

United States

Benefits/Perks

Casual work environment Diverse and inclusive culture Generous ownership package Ownership package Professional development opportunities

Tasks
  • Deep dive into current operations research solutions
  • Develop and implement models and algorithms
  • Implement improvement initiatives
  • Partner with functional areas for network optimization
Skills

Logistics Machine Learning Operations Research Python SQL Statistics

Experience

3+ years

Education

Business Logistics Master's degree Ph.D.

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9