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Applied Data Science Manager

Állás részletei

  • Cég neve

    TESCO-BST

  • Munkavégzés helye

    1138. Budapest Váci út 187.

  • Egyéb juttatások

    • Cafeteria
  • Munka típusa

    • Teljes munkaidő
    • Általános munkarend
  • Elvárások

    • Angol felsőfok
    • 5-10 év tapasztalat
    • Egyetem
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Állás leírása

TESCO-BST

We established our service centre supporting Tesco's operation in the Central European region back in 2019. Our colleagues provide service for Hungary, Czech Republic and Slovakia in several fields: finance, people and payroll services, colleague and customer engagement, customer and product, enterprise analytics. Besides these, we have a modern Technology Hub developing software and applications used by millions of people - customers and colleagues - globally. Our young and dynamic teams are driving and accelerating changes on a global scale, so it is important for us to find colleagues that are open to learn and develop themselves. At Tesco Business Solutions & Technology we support our business in operating efficiently and serving shoppers a little better every day.

Applied Data Science Manager

The Role

  •  Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making- In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources
  •  Building Statistical models and ML algorithms with practitioner level competency
  • Writing structured, modularized & computationally efficient production-ready codes using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency
  • Packaging the results in a manner that is easy to consume for the business (insight led, visually easy to understand) and answering the original question)
  • Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any)
  • Keeping up-to-date with the latest in data science and retail analytics, actively taking part in knowledge sharing among colleagues

Your background

  • Education: University
  • Professional experience: 7 years+
  • Required English level: Advanced (C1)
  • 6+ year experience in data science application in Retail or CPG
  • Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital
  • Other required skills: Microsoft Office, Applied Math: Applied Statistics, Design of Experiments, Regression, Decision Trees, Forecasting, Optimization algorithms, Clustering, NLP. Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Powerpoint, GitHub.

What’s in it for you

Tesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career defining opportunities to all our colleagues. If you chose to join our business, we will provide you with:

 

  • Competitive Compensation package based on your experience and skills (Cafeteria, Mobile phone, 10+5% shopping discount in every Hungarian Tesco store)
  • Annual private healthcare package
  • Performance-based annual bonus
  • Minimum of 25 paid leave days per year
  • Career Growth is not just a cliché - we operate in 3 markets as one Central European business, so there are many opportunities for growth and development
  • Solid Business Background with more than 100 proud years of company history
  • We are a Great Team and we are not fond of any formalities here
  • Modern Office with great location (e.g.: free parking)
  • Flexible Working policy (e.g.: home-office)

 

Tesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we"re committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require.

 

#LI-AS1

#LI-Hybrid

Sector(s):

  • Administration, Assistance, Office Work
  • Data Analyst
  • IT Operation, Telecommunication
  • Corporate Management System, SAP

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