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!

Equality

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.