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Data Scientist - Operations Research

Alpharetta, Georgia, United States

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Deposco

Deposco's omnichannel supply chain fulfillment applications | WMS and OMS Software, Integrations, Reporting, Forecasting

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Come help us build the world’s best omni-channel software! Deposco is seeking an Operations Research Scientist to join our growing Data Science team. You will use your analytical expertise to create innovative solutions to supply chain execution and planning problems. Working alongside our team of product managers and software developers, you will help design and deploy these solutions to the Deposco platform — affecting real value in our customers’ supply chains. The right candidate will have a strong background in operations research methods, an enthusiasm for problem-solving, and effective communication skills. Successful candidates for this role will gain valuable experience with a wide variety of software applications in exciting and popular areas such as e-commerce, analytics, omnichannel retail, supply chain planning, inventory management and order fulfillment.

What You’ll Do:

  • Formulate and prototype mathematical optimization and simulation models for automated supply chain execution and planning decisions.
  • Collaborate with software engineers to integrate these models, engineer solutions to computational challenges, and ensure a successful deployment to the Deposco platform.
  • Working as a key member of our strategic Data Science team, collaborate with product owners to design product features enabled by data science and operations research methods. Explore innovative ideas using proof of concept projects and gain feedback through collaborations with retailers.
  • Evangelize the value of data science and the significant benefits it offers to Deposco’s customer base.

Requirements

What You'll Need:

  • M.S. Operations Research or equivalent experience.
  • Strong understanding of mathematical optimization methods (e.g. mixed-integer linear programming, convex optimization, dynamic programming, network flows).
  • Strong understanding of stochastic processes and (Monte Carlo, discrete-event) simulation methods.
  • Development experience in Python (preferred) or at least one other scientific programming language.
  • Experience with a mathematical programming solver/modeling language (e.g. Gurobi, CPLEX, OR-Tools, SCIP).
  • Experience with SQL and relational database concepts.
  • Understanding of inventory planning concepts and policies is a plus.
  • Experience working in other areas of machine learning and data science (e.g. forecasting, classification and regression, clustering, reinforcement learning) is a plus.
  • Excellent written and verbal communication.
  • A sense of curiosity and a love of learning.

Benefits

Perks:

  • Competitive salary commensurate with skills and experience
  • Company equity
  • Be part of an energetic team that is serious about delivering innovative software solutions to customers and cultivating our culture. We work awfully hard and are having a blast doing it. This team believes that what we are doing is a game-change in the industry.
  • Opportunity to work from home in a hybrid capacity.
  • Standing desk (if you’re into that sort of thing) and choice of your own computer.
  • Corporate events including movie nights, Top Golf outings and other shenanigans.
  • Corporate office with quiet areas and Avalon for lunch as well as shopping right around the corner.
  • Excellent benefits package, with the majority paid for, including: medical, dental, vision, long-term and short-term disability, life insurance. A 401(k) program as well as a generous paid vacation and holiday schedule.
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    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

    Tags: Classification E-commerce Machine Learning Monte Carlo Python Research SQL

    Perks/benefits: Career development Competitive pay Equity Health care Insurance Team events

    Region: North America
    Country: United States
    Job stats:  11  2  0
    Categories: Data Science Jobs Research Jobs

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