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Digital Marketing Data Scientist, Hygiene/Home

Digital Marketing Data Scientist, Hygiene/Home

Warsaw, Poland


Want to drive a digital transformation? As a Digital Marketing Data Scientist you will help to get the best out of global data & measurements models implementation to ensure that our iconic brands are delivering best in class digital experiences to our customers


Key responsibilities:

  • Providing requirements to the data engineering team to ensure features needed for an accurate and actionable outcome are made available
  • Understanding of learning agendas and BAU business questions to help choose the best features, additional datasets and appropriate algorithms 
  • Driving deployment and scalability of new Data Products for the Hub; being a technical expert in product activation
  • Responsibility over executing Data Products during Sprints/Campaigns and guaranteeing quality metrics (accuracy, speed, etc.)
  • Partnering with global Data Science/AI Team to identify new opportunities and enhance existing products
  • Supporting marketing, brand and media teams with technical expertise and explaining complex concept in simple terms

Our expectations:

  • A MSc Degree in a field linked to quantitative research, applied mathematics, statistics, machine learning, market research, economy or closely related fields
  • Strong understanding and work experience in data modelling and machine learning techniques (eg. regression, classification, attribution techniques, time series, XAI, automl, etc.)
  • Contribution to continuous development of the analytics practice in scope, including service portfolio evolution and aligned to global frameworks for focus areas assigned to you
  • Strong understanding of digital marketing and data analytics in and FMCG context
  • Knowledge about how to use data to make decisions and drive business insight
  • Ability to communicate complex ideas to a diverse audience
  • Organised and sufficient at project management, working with many different stakeholders 
  • Knowledge on Data Science tools/ modules Jupyter Notebooks, Databricks; ML Flow and Nielsen databases knowledge is a plus

What we offer:

  • Unique opportunity to gain experience in working in dynamic, multi-national environment
  • Potential to build a long-lasting career within Reckitt, based on your skills, preferences and results
  • Possibility to work in a hybrid mode
  • Annual bonus
  • Multisport card
  • Life & health insurance
  • Access to myBenefit cafeteria
  • Birthday celebration
  • Discount card for shopping at Carrefour
  • Discounts on products in our corporate shop
  • ..and many more!


All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law. 

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