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Data Scientist – Supply Chain Optimization

  • Ligentia
  • Irvine, California (Hybrid), USA
  • Full time
  • Technology

Purpose of the role. Why is it important to Ligentia

As an essential contributor to the professional services team, the Data Scientist is not just a data analyst but a data innovator. You’ll utilize sophisticated analytics to mine valuable knowledge from intricate datasets, ultimately assisting in both the creation and fine-tuning of client-specific supply chain solutions. Collaborating closely with various departments—ranging from product management and engineering to client engagement—this role focuses on isolating pressing business issues and developing mitigation strategies informed by data analytics to elevate operational efficacy, client satisfaction, and holistic business results.

Data is the cornerstone of our business, and as a Data Scientist, you’ll be tasked with developing first-in-class, data-driven products and solutions that help our customers improve their supply chain initiatives, making it both easy and efficient. Working in tandem with multidisciplinary teams spanning product development, engineering, and business operations, you will employ advanced Operations Research (OR) and Machine Learning (ML) techniques to produce data-backed insights and automated decision-making capabilities for our suite of supply chain products.

In your capacity, you’ll harness the power of data to uncover actionable insight, locate areas ripe for improvement, and propel forward-thinking innovation across our range of products. Your work will shape the future of supply chain management, providing intelligent, data-based solutions that are at the forefront of industry innovation.

Key responsibilities

  • Develop, implement, and validate predictive models and algorithms to improve and optimize user experience and supply chain efficiency.
  • Work with large, complex datasets, solving problems using advanced statistical and machine learning techniques.
  • Collaborate with cross-functional teams to define problems, identify data sources, and prepare datasets for analysis.
  • Communicate findings and insights to technical and non-technical stakeholders through clear visualizations, reports, and presentations.
  • Keep abreast of the latest industry trends and research to continuously innovate and improve our products.
  • Participate in the data governance and quality initiatives, ensuring the highest level of data integrity.
  • Engage with expansive and intricate datasets, addressing challenging data analysis issues through the application of advanced analytical techniques as required.


Master’s degree or Ph.D. in Computer Science, Statistics, Applied Mathematics, or related field.

Skills & Knowledge

  • Anticipate holding at least 3 years of experience in data science, machine learning, or related roles.
  • Proficiency in data manipulation and analysis tools such as Python, R, SQL, and data warehousing solutions.
  • Proficient in creating and executing optimization frameworks and algorithms geared towards tackling large-scale, discrete, and permutation-based challenges such as vehicle routing, inventory management, network architecture, labor management, scheduling, and facility siting.
  • Strong understanding of machine learning techniques and algorithms.
  • Ability to translate complex findings into compelling recommendations, formulating them into actionable plans for the team.
  • Previous experience in supply chain optimization or retail/manufacturing sectors, emphasizing quantitative modeling and analysis.
  • Familiarity with Big Data tools like Hadoop, Spark, or equivalent.
  • Portfolio of projects or published research demonstrating your ability to solve complex problems using data.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Demonstrated leadership and mentoring skills.

To apply, please email For more information about how we process your data please visit our candidate privacy policy.

Ligentia requests that recruitment agencies do not speculatively submit CVs to us unless expressly requested to do so by a member of our People team. Any CVs sent to us on an unrequested speculative basis will be ignored.

Ligentia will not be liable for any fee or commission payments claimed by a recruitment agent in respect to the employment by us of a candidate whose CV was sent to us on an unrequested speculative basis.