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Full-Time

Operations Research Scientist

Posted on 2/13/2024

Roadie

Roadie

501-1,000 employees

Crowdsourced last-mile delivery platform

Automotive & Transportation
Social Impact
Financial Services
Consumer Goods

Junior, Mid

Remote in USA

Category
AI & Machine Learning
Required Skills
Python
Data Structures & Algorithms
SQL
Pandas
NumPy
Requirements
  • 2+ years of industry experience
  • MS or Ph.D. expected, ideally in Operations Research, Industrial Engineering, or Computer Science
  • Strong coding skills in Python, Numpy, Pandas, and related libraries
  • Experience with optimization tools such as Gurobi, CPLEX, or LocalSolver/Hexaly
  • Experience with various machine learning algorithms both supervised and unsupervised
  • Effective data visualization skills with tools like Matplotlib, Bokeh, and Seaborn
  • Ability to write complex SQL to extract and transform data from our MPP database
  • Excellent communication skills with the ability to distill complex problems into digestible insights
Responsibilities
  • Design and implement robust, scalable optimization algorithms for Roadie’s dynamic logistics platform
  • Apply both commercial and open-source optimization tools to solve combinatorially complex problems
  • Collaborate with software engineers and machine-learning specialists to build self-optimizing systems
  • Run A/B experiments to drive value in untapped areas of growth for our product and markets
  • Identify key questions and develop data-informed opinions on various aspects of the product and business
Desired Qualifications
  • Dynamic programming/Approximate dynamic programming
  • Relaxation heuristics
  • Routing optimization algorithms

Roadie, a UPS Company, with its extensive network of over 200,000 independent drivers, covers a comprehensive 95% of U.S. households, ensuring robust support and widespread service coverage. The company specializes in diverse delivery solutions including same-day services, oversized items, and ecological sustainable options, effectively addressing varied industry needs. This large-scale operational scope combined with an innovative crowdsourced model, positions it uniquely in the logistics sector, offering employees a dynamic and impactful work environment. The commitment to flexible, fast deliveries and adaptation to modern ecological standards not only drives industry leadership but also fosters a workplace culture focused on evolution and customer satisfaction.

Company Stage

M&A

Total Funding

$63.3M

Headquarters

Atlanta, Georgia

Founded

2014

INACTIVE