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About the Role

Essity has a clear strategy to become a data driven organization and is investing in collecting and analyzing data from sales, back office and the factory floor to provide to enable more relevant insights across the organization. Essity has already deployed connected solutions using IoT technologies in Professional Hygiene and Incontinence Care solutions to improve the lives of people using these new technologies. To take this to the next level we need new capabilities to unlock the insights hidden within these data sources.

Therefore, we are searching for an experienced Data Scientist (f/m/d). The purpose of the role is to develop data-driven solutions to difficult business challenges across a range of business domains by using state-of-the-art machine learning techniques and understand how to convert theory and models into company operations

This role will be part of the Data Science Center of Excellence, delivering advanced data science, machine learning and AI solutions. We are looking for a Data Scientist (m/f/d) preferably for our office in Ismaning, but we are open for other locations near an Essity office in Europe as well. It is a permanent, full-time position.

We're looking for people who embody our values, aren't afraid to challenge, innovate, experiment, and move at a fast pace. We're always looking for ways to improve our products and ourselves. If this is you, we'd love to talk.

What You Will Do

  • Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business value.
  • Research, develop and apply custom data models and algorithms to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, process improvements, ad targeting and other business outcomes – as well as supporting cost savings initiatives.
  • Contribute to the development of processes and tools to monitor and analyze model performance and accuracy.
  • Communicate results and ideas in a clear and concise way to key decision makers and drive a change in how these solutions are adopted
  • Keep up-to-data with latest technology trends in the area of data science

Who You Are

  • University degree in a quantitative discipline (e.g., but not limited to – Mathematics, Computer Science, Data Science, Natural Sciences, etc.) or equivalent work experience
  • 3+ years of experience in developing end-to-end Data Science Solutions
  • Experience with state-of-the-art data science and ML practices along with knowledge of and experience with Python (particularly for ML)
  • Experience in Databricks and MS Azure ML would be an advantage
  • Independent way of working, self-confident appearance
  • Fluent in English (written and verbal)

What We Can Offer You

At Essity, we believe every career is as unique as the individual and empower employees to reach their full potential in a winning culture motivated by a powerful purpose.

Our diversity makes us strong and creates an inclusive, inviting and harmonious workplace where individuality is appreciated by everyone. For this reason, incoming applications are selected based on professional qualifications and working values regardless of ethnicity, religion, gender, sexual identity, nationality, disability or age.

Collaborative and Caring Culture | Empowerment & Engaged People | Work with Impact and A Powerful Purpose | Individual Learning & Career Growth | Health & Safety Priority | Sustainable Value Together| Innovation| Sustainable Working Life | Total Reward

Together, we are improving lives, every day.

Working at Essity is not just a career; it is a chance to directly make the world a healthier, more hygienic and safer place. With impactful innovations coupled with sustainable solutions, we strive to reach more people every year with the necessary and essential solutions for well-being.

Detta är en jobbannons med titeln "Data Scientist" hos företaget Essity AB (publ) och publicerades på webbjobb.io den 18 augusti 2022 klockan 13:07.

Hur du söker jobbet

Ansökan sker via e-post till [email protected].

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