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PhD Supply Chain Data Scientist - Remote | New College Grad at Get It Recruit - Transportation

Remote: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 
California (USA), United States

Offer summary

Qualifications:

PhD in Operations Research, Industrial Engineering, or a related field, Expertise in mathematical modeling and optimization, Proficient in SQL, Hadoop, Spark, NoSQL, Advanced coding skills in Python, R, or similar, Commitment to continuous learning in data science.

Key responsabilities:

  • Design and deploy advanced supply chain models
  • Use analytics to improve inventory levels and placement
  • Execute simulations for supply chain strategy evaluation
  • Implement geospatial analysis for delivery optimization
  • Collaborate with teams to turn data into insights
Get It Recruit - Transportation logo
Get It Recruit - Transportation Human Resources, Staffing & Recruiting Startup https://www.get.it/
2 - 10 Employees
See more Get It Recruit - Transportation offers

Job description

Job Overview

We are on the lookout for an exceptional and motivated PhD Data Scientist specializing in Supply Chain to become a vital member of our innovative Analytics team. In this role, you will work alongside industry experts to craft pioneering solutions that enhance the efficiency of our supply chain operations.

Key Responsibilities

  • Design and deploy advanced models aimed at refining our supply network.
  • Utilize sophisticated analytics to enhance inventory levels and strategic placement.
  • Execute simulations to evaluate the implications of various supply chain strategies.
  • Implement geospatial analysis to ascertain the most effective delivery routes and sites.
  • Collaborate with cross-functional teams to convert intricate data into actionable insights.
  • Engage in continuous learning to maintain a competitive edge in data science and supply chain management.

Required Skills

  • In-depth expertise in mathematical modeling and optimization for complex supply chain challenges.
  • Proficient in managing large and intricate datasets, with experience in SQL, Hadoop, Spark, and NoSQL.
  • Advanced coding capabilities in Python, R, or similar programming languages for data analysis and model construction.
  • Strong eagerness to explore and master cutting-edge technologies, including Machine Learning, Deep Learning, and Generative AI.
  • Quick adaptability to new tools and platforms, such as data visualization and cloud computing.
  • Exceptional communication skills for articulating complex concepts to both technical and non-technical stakeholders.
  • Critical thinking skills, paired with an unwavering commitment to resolving real-world issues.

Qualifications

  • A PhD in Operations Research, Industrial Engineering, or a related discipline is required.
  • Demonstrated experience in addressing complex supply chain issues through mathematical modeling and optimization methodologies.

Career Growth Opportunities

Joining our team presents an exceptional opportunity for professional development and growth in a forward-thinking environment. You will have access to a wealth of networking opportunities that can significantly enhance your professional trajectory.

Company Culture And Values

We pride ourselves on fostering an inclusive and collaborative work environment where diverse perspectives are valued. Our commitment to innovation and excellence drives us to create a culture that not only encourages growth but also celebrates achievements.

Why Join Us?

Be a part of an industry leader where your contributions can truly make an impact. Engage in stimulating projects alongside talented professionals, while enjoying a competitive salary and comprehensive benefits package.

Employment Type: Full-Time

Required profile

Experience

Level of experience: Entry-level / graduate
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
Check out the description to know which languages are mandatory.

Other Skills

  • Critical Thinking
  • Adaptability
  • Verbal Communication Skills
  • Collaboration

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