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Operations Research Analyst/Data Scientist
  • Kraków
Operations Research Analyst/Data Scientist
Kraków, Kraków, Małopolskie, Polska
HAYS POLAND Sp. z o.o.
6. 11. 2024
Informacje o stanowisku

We are looking for a Data Scientist/ Operations Research Analyst who will join an international transportation company and be a part of a forward-thinking team.


In this role, you will be responsible for:

  • Developing and implementing mathematical models to optimize logistics processes, such as route planning, inventory management, and warehouse operations
  • Designing and improving algorithms, for example for dynamic scheduling, load balancing, and resource allocation, etc.
  • Using statistical techniques and machine learning algorithms to forecast demand, supply chain disruptions, and other critical metrics
  • Developing predictive models to improve inventory management and transportation planning
  • Developing simulation tools to evaluate the impact of different strategies and scenarios on logistics operations
  • Providing advanced analytical research to assess potential outcomes of operational changes and to support strategic planning
  • Working closely with various departments, including operations, IT, and business, to understand their needs and provide data-driven solutions and (co-)develop solutions with other data-literate teams across the globe
  • Communicating findings and recommendations to stakeholders, including senior management, through clear storytelling, presentations and detailed reports
  • Conducting research and development and identifying opportunities for designing solutions to solve complex operations problems, lift constraints, and maximize the strengths of the operations


What you'll need to succeed 

  • Master's degree or Ph.D. in Operations Research, Data Science, Applied Mathematics, Statistics, Computer Science, or a related field or relevant discipline or equivalent in proven experience
  • Proficiency in mathematical modeling, optimization techniques, and statistical analysis
  • Preferable programming skills in Java and Python 
  • Experience with data visualization tools like PowerBI, Tableau, or similar
  • Familiarity with machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch 
  • Knowledge of big data technologies like Hadoop, Spark, or similar
  • The ability to analyze complex problems, develop strategies, and implement effective solutions
  • Desirable-experience with simulation modelling and decision support systems
  • Minimum 1-3 years of relevant experience in operations research, data science, or a related analytical role, ideally within supply chain, logistics or transportation area
  • Excellent communication skills, 
  • English - fluent (both verbal and written), with the ability to convey complex technical concepts to non-technical stakeholders
  • The ability to manage multiple priorities and deadlines
  • Team player with strong interpersonal skills and the ability to work collaboratively in a cross-functional environment
  • The ability to innovate and think creatively and strong attention to detail and a commitment to accuracy and quality
  • Willingness to continuously learn and stay updated with the latest industry trends and technologies

What you'll get in return 

  • Stable and secure work environment with long-term career opportunities
  • Employment contract
  • A unique and challenging position in an innovative, international, and dynamic working environment
  • Hybrid work model
  • Impact on business at strategic level and exposure to middle and upper management
  • An extensive benefit package (private medical care, life insurance, sport cards, meal vouchers)
  • Wide array of formal training and possibility to grow with the company
  • Tuition Assistance Program


What you need to do now 


If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.



Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.

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