Senior Data Scientist (Supply Chain)
Athens, Greece
πριν από 6 μέρες
source : Just Join IT

Data Engineering (nice to have)

SQL (regular)

Relational Databases (regular)

R (advanced)

NumFOCUS stack (advanced)

Python (advanced)

Data Science (advanced)

Machine Learning (advanced)

Statistics (advanced)

We are a team of nerds dedicated to collect other nerds that happen to be the best in their respective fields in the broadly understood IT service and analytics.

And with them we go out of our way to create IT and Analytical Hubs which bring together best experts from the IT world to help our partners to become real data driven entities.

Currently we are looking for Senior Data Scientist (Supply Chain) as we are supporting our FMCG partner in developing Digital Manufacturing unit which is a global, centralized unit with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations.

As a Senior Data Scientist in Digital Manufacturing you will be a part of a digital team that is engaged in improving decisions taken in various business domains, in your case it would be Supply Chain domain.

You will work in an agile development environment with high expectations for rapid delivery of prototypes as the execution is fast with a time to value in less than 4 months.

You will routinely meet changing requirements as well as will get direct feedback from global business customers. You will engage closely with subject matter experts so you need to be a strong team player that understands, digests and qualifies the input you receive during the project execution.

You will build models that will be used to take operational decisions in real time (decisions following your models’ recommendation) so you will impact the business directly by the work you will do.

You will be responsible for analyzing the data in close collaboration with the knowledge owners and you will develop the decision support tools that would be applied in digital product portfolio where data is used to generate insights and enable actions.

After implementation you will guide further development of the delivered products.

If you want to :

  • take part in the development and implementation of a complex system of smart data solutions that improve various aspects of company's operations
  • have opportunity to work on bleeding-edge projects
  • have a chance to see how your visions come true
  • work with the world’s top IT professionals
  • work in a global and diverse team with global reach
  • carry out projects which address real business challenges
  • have a real impact on the projects you work on and the environment you work in
  • have a chance to propose innovative solutions and initiatives,
  • it’s probably a good match.

    Moreover, if you like :

  • flexible working hours
  • casual working environment and no corporate bureaucracy
  • having an access to such benefits as Multisport and Luxmed
  • working in modern office in the centre of Warsaw with good transport links or working remotely as much as you want
  • a relaxed atmosphere at work where your passions and commitment are appreciated
  • vast opportunities for self-development,
  • it’s certainly a good match!

    If you join us, your responsibilities will include :

  • understanding business problems and designing smart data products
  • joining the digital process starting from screening, over diagnostics, to implementation
  • connecting and cooperating with the knowledge owners to understand use cases, mainly in the area of supply chain and business analytics (pricing, assets, profitability)
  • digesting, qualifying and analyzing data made available by data engineers
  • developing complex models and algorithms that drive innovation throughout the organization
  • conducting advanced statistical analysis to provide actionable insights, identify trends and measure performance
  • cooperating with data engineers to implement and deploy scalable solutions
  • cooperating well with business to unpack ambiguous projects into clear requirements
  • provide mentorship and guidance to other data scientists in the team
  • We expect :

  • experience in working professionally with data coming from supply chain area
  • advanced university degree in Economics, Supply Chain, Computer Science, Engineering or related field
  • at least 5 years experience on similar position
  • excellent analytical and quantitative skills
  • strong working knowledge of SAP
  • experience in working with large data sets, Historians, relational databases (SQL)
  • solid background in statistical modelling (statistical hypothesis testing, regression, classification, optimization) as well as in advanced statistics and machine learning (time series analysis, clustering, dimension reduction, anomaly detection)
  • fluent ability to program in Python and / or R
  • thorough knowledge of the NumFOCUS stack : pandas, scikit-learn, Matplotlib, SciPy
  • ability to lead change and deliver results
  • effective communication skills across all levels of the organization
  • demonstrated teamwork and networking skills
  • effective time management skills and ability to work independently
  • fluent English as you will communicate in English almost all the time
  • readiness for business trips (up to 25% of working time) visiting manufacturing sites located in Western Europe
  • Nice to have :

  • at least basic knowledge of data engineering
  • Please add to your CV the following clause :

    I hereby agree to the processing of my personal data included in my job offer by hubQuest spółka z ograniczoną odpowiedzialnością located in Warsaw for the purpose of the current recruitment process.

    If you want to be considered in the future recruitment processes please add the following statement :

    I also agree to the processing of my personal data for the purpose of future recruitment processes.

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