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Avantor

Global provider of high-purity lab materials

Supply Chain Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A degree in Supply Chain Management or APICS Certified in Production and Inventory Management certification, plus 5–7+ years of experience in global supply chain and inventory management across multiple sites and regions, is essential.
  • Demonstrated ability to select and use appropriate analytical tools and software, including Excel, Power BI, relevant libraries in R and Python, or SQL, and to build extract, transform, and load pipelines.
  • Demonstrated experience using AI-assisted development and automation tools such as Codex for data analysis, code development, documentation, troubleshooting, and creating analytical tools, with appropriate validation and governance.
  • Ability to evaluate AI-generated outputs for accuracy, data quality, business relevance, bias, and operational feasibility before applying them to supply chain planning, inventory optimization, or decision-support processes.
  • Demonstrated ability to analyze large datasets and visualize findings.
  • Demonstrated ability to wrangle, cleanse, and model data from sources such as SAP, CSV, XLSX, TXT, Parquet, RDS, and data lakes.
  • Proficiency in Excel and Power BI, including Power Query/M, DAX, relational database modeling, and data visualization.
  • Ability to develop and deploy short-term tools and reporting capabilities with quantified accuracy and precision is essential.
  • Ability to prioritize actions for maximum impact.
  • Strong analytical skills.
  • Ability to work to deadlines and manage competing priorities.
  • Ability to perform primarily sedentary work and occasional walking, standing, bending, reaching, lifting, or carrying objects typically weighing less than 10 pounds.

Responsibilities

  • Apply data science in supply chain planning and inventory management to improve underlying processes and deliver financial value.
  • Collaborate with stakeholders across the global organization on improvement initiatives.
  • Design, develop, and deploy analytical tools, optimization models, and supply chain simulations.
  • Source and use data, statistical methods, and technology to improve processes and add practical value.
  • Work on portfolio segmentation, product life cycle management, replenishment strategies, and inventory optimization within the distribution network.
  • Contribute to development of a planning tool that supports decision-making by planning teams.
  • Work within monthly financial reporting cycles and meet time-bound assignments.

Desired Qualifications

  • A degree or certification in Data Science.
  • Formal project management and problem-solving training, such as Six Sigma or Lean.
  • Knowledge of SQL and R or Python.
  • Experience working with a data warehouse or data lake; experience with Snowflake is a plus.
  • Knowledge of statistics and machine learning, or strong willingness to quickly develop in these areas.
  • Power BI Data Analyst Associate certification.
  • Experience in a matrix environment and solid written and verbal communication skills.

About the Company

Avantor

Global provider of high-purity lab materials

Avantor supplies high-purity chemicals, lab consumables, equipment, and related services to life sciences and advanced technology customers worldwide. Its products are used across research, development, manufacturing, and quality control to source and apply materials throughout workflows. It differs from competitors by offering a vertically integrated, end-to-end platform that combines materials with extensive lab products and services in one global network. Its goal is to be a trusted partner that enables scientific progress by supporting research and production with high-purity materials and lab solutions.

Company size
10,001+
Company stage
IPO
Headquarters
Bristol, PA
Founded
1904

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