col-wideJob Description:About the RoleThe 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 works with Business Stakeholders, Solution architects and those in the Project and Scrum Teams, such as Business Analysts and Analytics developers.This position is offered with a hybrid working pattern. Onsite days based at one of our offices:Munich, Gothenburg, Barcelona, Lisbon, or Paris.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 DoPerform data mining and extraction from valuable data sourcesUtilize machine learning tools for feature selection, classifier creation, and optimizationConduct preprocessing of structured and unstructured dataEnhancing data collection procedures to include all relevant information for developing analytic systemsProcessing, cleansing, and validating the integrity of data to be used for analysisAnalyzing large amounts of information to find patterns and solutionsCommunicate 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 AI and data scienceDevelop data-driven solutions to difficult business challenges across a range of business domains by using state-of-the-art data science techniques and understand how to convert theory and models into company operations.Take a leading role in operationalizing data science models to ensure all requirements, including functional, integration, security, performance, quality, and operations are coveredWho You AreUniversity degree in a quantitative discipline (e.g., Mathematics, Computer Science, Data Science, Natural Sciences, etc.) or equivalent work experience.Proficiency in Excel and visualization tools like Power BI and a sound practical knowledge of statistics and mathematics.Strong technical, analytics, and communication skills.3-5 years of experience in developing end-to-end Data Science Solutions.Experience with state-of-the-art data science and ML practices along with advanced knowledge of and experience in scripting languages, such as SQL, Python, and R (particularly for ML).Experience in developing scalable ML-based production systems, Databrick, MS Azure ML, and MLOps would be an advantage.Ability to work effectively in a globally dispersed team and business partner.Our Benefits for YouCompensation & BenefitsCompensation above tariff level, bonus, pension schemes, anniversary bonus, child allowances, Corporate Benefits & other employee benefits, factory outlet and free giveawaysWork-Life-BalanceFlexible working hours, 30 days of vacation, lifetime work accountLearning & DevelopmentIn-depth onboarding, training opportunities such as digital learning platform, coaching & mentoring, individual development plan, participation in professional conferencesHealth & Well-beingLease-a-bike, health and well-being days, mindfulness courses, "PME Familienservice", employee surveysTeam & CollaborationPeople culture, communities & networks, co-working spaces, leadership guidelines, canteenMobilityPublic transport allowance, bicycle parking, free car parking, e-charging stationsThis Is UsAt Essity our Beliefs & Behaviours (Care, Collaboration, Courage and Commitment) is the foundation for our inclusive culture and as such something we are living on an everyday basis. With a purpose of Breaking Barriers to Well-beingis established in our core.Let's Connect!The Talent Acquisition Team is happy to answer any questions related to the open role. #Essity-DETogether, 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.
