TL;DR
Data Scientist (Supply Chain): Delivering data science projects focused on inventory optimization and risk management initiatives for a global supply chain with an accent on turning raw data into actionable insights and shaping decisions. Focus on building clean, maintainable data pipelines, formulating analyses, and collaborating with Supply Chain, Operations, and Data Science colleagues.
Location: This position is based in Elsbethen, Austria, with a minimum salary determined by Austrian collective agreements.
Salary: €2,691 gross per month (minimum, market-oriented compensation is significantly higher).
Company
hirify.global is a global company passionate about turning data into reliable, scalable solutions to improve how products flow across its supply chain.
What you will do
- Deliver Data Science projects for inventory optimisation, managing scoping, execution, quality assurance, and delivery.
- Drive innovation by proposing new ways to generate value for stakeholders.
- Build strong relationships with internal and external stakeholders to ensure project success.
- Support the Data Science Team with impact tracking, planning, training, and onboarding new colleagues.
Requirements
- 4+ years of experience in Data Science.
- Masters or Doctorate in a relevant field (Mathematics, Operations Research, Science).
- Proficiency in at least one of R, Python, SQL, with a willingness to learn the others.
- Ability to prepare high-quality datasets and understand their implications for business problems.
- Theoretical and applied understanding of Statistics, Probability, and Machine Learning Algorithms.
- Applied understanding of modern computing tools (git, API calls, web crawling).
- Strong presentation and stakeholder management skills.
Culture & Benefits
- Opportunity to contribute to global Data Science projects directly impacting availability, cost, and service levels.
- Work in a diverse environment, valuing potential and supporting growth.
- Attractive compensation package based on market-oriented salaries.
- Collaborative environment with Supply Chain, Operations, and Data Science colleagues.
- Low travel requirement (0-10%).
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