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IT&D Data Scientist

Description

Want to see technology make the difference? As IT&D Data Scientist, you’ll have the freedom to innovate, finding new ways to make our business faster, smarter and more agile than ever. 

 
IT&D Data Scientist 
Warszawa, Mazovia Province 

You will....

 

  • Analyze large datasets looking for insights and answers to business questions.
  • Support other team members in building analytics pilot projects and translating the business requirements into data science solutions.
  • Assist in building machine learning models from data preparation to model deployment.
  • Work on cloud-based analytics projects (Azure), connecting with different data sources, building your own data pipelines if required.
  • Be part of the growing Data Science community in Reckitt and expand the Analytical Center of Excellence.
  • Prototype, develop and deploy data products while maintaining high-quality code and documentation. Ensure efficiency, stability and scalability of the solution.

 

You'll succeed because…You have …

 

  • Can-do-attitude, winning mindset, problem-solving skills, good organization & project management experience, desire to work in a dynamic team environment and curiosity to work cross-culturally/functionally.
  • Min. 2 years of hands-on experience in using advanced analytical techniques to solve practical problems from prototyping to business impact.
  • University degree with a focus on quantitative methods / econometrics / statistics / mathematics or related degree programs.
  • Strong programming skills in Python.
  • Expert proficiency in manipulating and analyzing complex, high-volume, high-dimensionality data from varied sources using big data integration and analysis tools (e.g. Databricks, PySpark).
  • Knowledge and experience in application of advanced statistical techniques (e.g. linear models, basis expansion and regularization, kernel methods, probabilistic graphical models / Bayesian Network, etc.).
  • Business acuity including understanding and comfort with expectations of accountability and profitability.
  • Familiarity with relational databases.
  • Experience with data cleansing, validation and general quality control principles
  • Familiarity with data life cycle management practices including sourcing, discovery, profiling, applying definitions, establishing relationships, data mining and documentation.
  • Excellent verbal and written communication skills with ability to communicate complex quantitative analysis in a clear, precise, and actionable manner (fluent English).

Equality

 

You’ll love it because…

 

  • A unique opportunity to gain experience in working in a multi-functional / multi-national environment.
  • Potential to build a career within a large multinational organization.
  • Permanent contract with a wide package of additional benefits.

Apply now »