We are Oriflame
Founded in Sweden in 1967, we are a social selling beauty company present in over 60 countries around the world. Our portfolio of nature-inspired cosmetics and wellness products, powered by science, is marketed through 1.5 million Independent Oriflame Brand Partners. We are a people-powered wellbeing and beauty community with an entrepreneurial spirit. Inspired by the vision of our founders – to make quality beauty products and entrepreneurship accessible to many – Oriflame continues to bring that dream to life for Brand Partners around the world. Together, we live for the excitement of changing lives each day and creating a better tomorrow. Learn more about Oriflame at corporate.oriflame.com
Purpose of the Role
Data Scientist Revenue Growth will focus on data science application for commercial purposes analyzing large datasets by leveraging statistical methods, machine learning and predictive modelling. You will play a key role in shaping data-driven strategies and building new solutions to enhance customer experience, optimize commercial planning and streamline business processes.
Responsibilities of the Role
• Gather, clean and process raw data from various domains ensuring data quality and integrity
• Conduct comprehensive analysis of large datasets to proactively identify trends, patterns and correlations as well as generate visualisation and reports to present findings
• Explore transactional data to discover insights in purchase behaviour to enrich customer database and ensure better personalization and more targeted marketing strategies and communication
• Take an active part in the design and implementation of AI/ML solutions to improve and streamline existing processes as well as suggest new areas for application of data science to meet evolving business requirements
• Collaborate with cross-functional teams to understand business needs and align data solutions as well as being able to present findings to diverse audiences
Background, Education and Qualifications for the Role
• 1 -2 years of experience in science and data engineering
• Strong expertise in data analysis, statistical modelling and understanding of machine learning concepts
• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer science or another related field
• Proficient in Microsoft applications esp. Azure, SQL, programming languages such as Python, R
• Knowledge of libraries (e.g. pandas, scikit learn) and notebooks (e.g. Jupyter)
• Customer oriented with strong communication and presentation skills and ability to communicate complex data clearly and concisely in both verbal and written forms
• Proficiency in English
• Result driven, proactive and team oriented
What do we offer?
• Job contract
• Medical private insurance (Medicover)
• Life insurance (Compensa)
• Cafeteria of benefits (MyBenefit system) with subsidized sport card
• Cosmetic allowance (possibility to try great Oriflame products)
• Home Office options (Hybrid work model 3 days at the office, 2 days at home) and flexible working hours
• Great organization culture and possibility to work in multinational teams
Does this match your profile and expectations?
Then don’t hesitate and apply now. Or spread the word to people who might be the right match. Curious to learn more? Check out our website www.oriflame.com and discover everything there is to know about our business, products, values and culture.
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