Informacje o stanowisku

Opis stanowiska pracy

Operations Research Analyst/Data Scientist
Kraków
NR REF.: 1189711

As a Data Scientist/ Operations Research Analyst, you will join Federal Express Corporation (FedEx Express) - the world39s largest express transportation company. FedEx Express39 global transportation network ensures fast, reliable delivery of documents, packages, and shipments around the world.

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 you39ll need to succeed 

• Master39s 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 you39ll 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 you39re interested in this role, click 39apply now39 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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