AWS, Azure, Effective communication skills, Google Cloud Platform (GCP), Julia, Machine learning techniques, MongoDB, Neo4J, NoSQL, Python Programming, R Programming, Spark Core, SQL
Data Scientist
Unilever is a leading multi-national “Fast Moving Consumer Goods” company, with world leading brands such as Lipton, Dove, Axe, Omo, Knorr, and Hellmans. Unilever has extensive R&D facilities around the globe with a mission to build brands through world-class innovation by unlocking science and technology. To meet the sustainable business growth challenge of the next decade, Unilever R&D aims to transform its approach to scientific discovery and product development, through a Digital Transformation program. The Digital R&D team is leading this transformation of R&D through programs in Big Data Analytics, Predictive modeling and Product Life Cycle Management with a view to driving speed, efficiency and connectivity of R&D. The Modelling & Analytics team provides leading edge statistics, data science, data management, modelling and simulation expertise to deliver predictive models and advanced analytics for new insights to the category programs across all R&D functions. The focus of the M&A, Consumer & Biology team is in the design and planning of experiments, analyses of data, building and validating predictive models and interpretation and exploitation of outcomes together with the project team in the domain areas of consumer insights and life-sciences research. The products and brands we support are across Unilever’s 5 Business groups – Beauty & Wellbeing, Personal Care, Home Care, Nutrition & Ice Cream.
We are looking for a Data Scientist who will support our Modelling & Analytics teams in R&D with insights gained from analyzing data to accelerate product innovation. The ideal candidate is adept at combining and analyzing large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong background in statistical modelling and machine learning methods; have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Job Responsibilities:
Education
The candidate should have a bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. A master’s degree in the same is strongly preferred. Experience in FMCG/Retail/Pharmaceutical industries is a plus.
Technical Skills:
Soft Skills:
Work Level 1B: Pay: The pay range for this position is $67,000 to $100,500. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs. Bonus: This position is bonus eligible. Long-Term Incentive (LTI): This position is LTI eligible. Benefits: Unilever employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.
Unilever plc is a British multinational consumer goods company headquartered in London, England. Unilever products include food, condiments, ice cream, wellbeing vitamins, minerals and supplements, tea, coffee, breakfast cereal, cleaning agents, water and air purifiers, pet food, toothpaste, beauty products, and personal care. Unilever is the largest producer of soap in the world. Unilever's products are available in around 190 countries.
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