Sr Data Scientist at Sherwin-Williams

DescriptionThe Senior Data Scientist specializes in developing and programming methods processes and systems to consolidate and analyze structured unstructured and/or diverse big data sources to generate insights and solutions for Sherwin-Williams PSG and CBG marketing groups. This involves identifying insights from data interpreting and communicating findings to management. By using statistical analysis Machine Learning (ML) techniques and data visualization the Senior Data Scientist will uncover patterns and trends within data to help the business make informed decisions and solve complex problems.ResponsibilitiesAnalyze large amounts of complex data to extract insights and drive decision-making through data visualization tools and presentation. Design develop and program methods processes and systems to consolidate and analyze structured unstructured and diverse big data sources to generate actionable insights and solutions for Sherwin-Williams PSG and CBG marketing groups. Interact with marketing teams to identify questions and issues for data analysis and experiments. Understand and apply key business concepts strategies and practices to effectively analyze how data aligns with business objectives and impacts decision-making processes. Identify meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to marketing and business managers. Develop statistical models machine learning algorithms and predictive analytics solutions to address business challenges.QualificationsFORMAL EDUCATION:RequiredBachelors degree in Data Science Marketing Analytics Statistics Math Business Analytics or related field or in lieu of related degree at least 7 years of experience in AI Data Science or related fieldPreferredMBA or Graduate-level degreeRelated certifications (e.g. Machine Learning Artificial Intelligence) preferredKNOWLEDGE & EXPERIENCERequired:7 years of experience in AI Data Science or related fieldKnowledge of machine learning algorithms statistical models and data mining techniquesExperience in designing and implementing data-related AI solutions for complex business problemsExcellent communication and stakeholder management skills with the ability to present technical ideas and results to non-technical audiencesTECHNICAL SKILLS: Required:Programming Languages (e.g. Python R)AI and Machine Learning Frameworks (e.g. Scikit-learn H2O Dataiku)Cloud Computing Platforms: (e.g. AWS Azure GCP)Database Technologies (e.g. SQL Spark)Data Visualization Tools (e.g. Tableau Power BI)Prompt EngineeringPreferred:AI and Machine Learning Frameworks (e.g. TensorFlow Keras PyTorch)Database Technologies (e.g. NoSQL Hadoop)TRAVEL5%Required Experience:Senior IC Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Full Time Experience: years Vacancy: 1