Drive a rigorous approach leveraging data science including artificial intelligence and machine learning to solve problems in the context of growing Kimberly Clark brands, increasing sales, and enabling operational excellence.
Partner with Data Scientists to design and develop innovative, machine learning solutions for important, highly complex strategic and operating problems. Has strong knowledge in business and technical functions that are touch points within their area of expertise. Provide technical consulting on complex projects.
Collaborate with functional and solution engineers to develop data and model pipelines including understanding lineage and granularity of data required to perform data science and helping prepare, profile, and cleanse data needed for data science.
Assist in embedding machine learning AI outputs into key business applications including analytical and transactional solutions.
Key Qualifications and Experiences:
Bachelor's degree required, Master’s degree preferred. Relevant fields include computer science/engineering, statistics, mathematics, artificial intelligence, or operations research.
Three or more years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, Random Forest, etc.
Experience working with large data sets and distributed computing tools a plus (Map/Reduce, Hadoop, Hive, Spark, Python, R, Gurobi, MySQL, etc.) Proficiency in SQL and Python is important.
Understanding of data structures, data modeling and software architecture. Experience designing and implementing data science solutions on Azure is helpful.
Familiarity with machine learning frameworks and libraries
Experience in applying machine learning, predictive analytics and classification techniques towards real product and problems
Ability to write robust code in Python or Java or equivalent modern programming language
Experience with data integration methods and tools including ETL and virtualization.
Excellent written and verbal communication skills along with strong desire to work in cross functional teams
Consumer products experience in retail/manufacturing environment is preferred. Basic functional knowledge in key CPG Supply Chain Area capabilities (Planning, Procurement, Manufacturing, Logistics, Safety & Sustainability, Quality, etc.) is a big plus.
Experience collaborating with data scientists, solution architects, and engineers to identify, design, and implement highly complex, end-to-end solutions.
El contenido de este aviso es de propiedad del anunciante. Los requisitos de la posición son definidos y administrados por el anunciante sin que Bumeran sea responsable por ello.
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