Junior Supply Chain Data Scientist

Job Description

About us

SupChains, is a consultancy company specialized in demand forecasting and inventory optimization. We help international companies achieve supply chain excellence by offering state-of-the-art quantitative models built on data using statistics or machine learning. Moreover, by providing training to supply chain practitioners, we aspire to bring clarity to the complexities of supply chains and promote the adoption of best practices.

By creating quantitative models that provide uncompromised forecasting accuracy and spot-on inventory insights, we help our clients worldwide be more efficient, reduce waste and inventories, and offer unprecedented service levels to their own clients.

Feel free to follow me on Linkedin at https://www.linkedin.com/in/vandeputnicolas/, check my books https://www.amazon.com/Nicolas-Vandeput/e/B07KL86HMV?ref=sr_ntt_srch_lnk_3,  and research my website https://supchains.com/ for more information about my background and experience.

About the role

As a Junior Supply Chain Data Scientist, your main objective is to help in inventory optimization and forecasting projects. For this role, you will also be responsible for designing, developing, and maintaining data-driven models (including machine learning).

Since this position requires you to deal with data, we are looking for someone who is data-driven, structured, and well organized. Our ideal candidate is an expert with Python (or similar) and is competent in mathematical abstraction. In addition, we want someone who is constantly in pursuit of knowledge and wants to continue learning.

This is a full-time position and is fully remote but must be currently residing in Brussels, or around Brussels (80 +/- km range), for us to be meeting regularly.

Benefits of working with SupChains

  • 90% remote work
  • Compensation and benefits based on experience and skillset
  • Learning opportunities that SupChains will pay
  • Opportunity to work with various projects with companies from all over the world (most of them being industry leaders).

Junior Supply Chains Data Scientist Goals

  1. Create new quantitative models (using statistics and data science) based on academic literature and technical blogs.
  2. Improve, sustain and fix existing models.
  3. Perform data cleaning projects with clients in an efficient way.
  4. Develop an amazing skillset of knowledge.
  5. Evolve to more consultancy within the first year.

Junior Supply Chains Data Scientist Responsibilities

  • Apply machine learning and optimization models to create amazing quantitative models for our clients.
  • Understand clients’ requirements and existing challenges to come up with data-driven and scientific solutions.
  • Review, analyze and monitor modeling processes and results.
  • Develop the right set of metrics to evaluate the algorithms’ efficiency and accuracy.
  • Keep up to date with supply chain and data science trends through scientific communities, blogs, and academic literature.

Junior Supply Chain Data Scientist Requirements

  • Master degree in statistics, econometry, mathematics, physics, IT, data science, engineering, or business.
  • Fluent in Python or similar programming.
  • Experience with data science and quantitative models.
  • 0 to 3 years of experience.
  • Fluent in English.
  • Efficient organizational skills.
  • Can work with minimal supervision.
  • Creative, curious, and persistent.
  • Scientific mindset (at ease with academic literature and books).

If you think this describes you exactly, and would love to join the quantitative supply chain movement with SupChains, please take 15 - 20 minutes to submit your answers to this survey https://6qpp7mdik78.typeform.com/to/hDRCwuae.

We will get back to you shortly upon reviewing.