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Requires: Bachelor's Degree in Computer Science or Electrical Engineering, 5 years of progressive data systems engineering experience, and proficiency with Azure data engineering tools (incl.
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Qualifications:Education: Bachelor’s degree in Business, Data Science, or a related fieldExperience: Minimum of 5 years experience in data analysis, category management, and/or space analyticsTechnical Skills: Proficiency in Tableau, Alteryx, Excel are essential.
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Proficiency in project management methodologies to ensure the efficient execution of data science projects, including resource allocation, timelines, and project prioritization. Provides technical guidance and validation of the Data Science development work to ensure model quality and accuracy.
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Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
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Master’s degree in a technical/analytical field such as Data Science, Computer Science, Applied Mathematics, or Operations Research. 10+ years working in Data Science, Data Engineering, and AI/ML, with a strong focus on optimizing, deploying, and supporting production models at scale.
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The successful candidate will be responsible for deploying and managing advanced analytics and machine learning models across critical domains, including marketing, supply chain, finance, digital transformation, and food and beverage science.
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Qualifications Master’s degree in a technical/analytical field such as Data Science, Computer Science, Applied Mathematics, or Operations Research. 3+ years working in distributed computing and large-scale data processing with tools like Spark.
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3+ years of experience in data science, including hands-on experience in data analysis and model design, development, and execution. Strong grasp of the organization's goals, industry, and competitive landscape, with the ability to align data science efforts with business objectives.
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IT Problem Solving; IT Security Auditing; Cybersecurity Controls; Information Security Risk Management; Data Security; Data Security Management; Data Protection. Experience with securing data across SaaS and IaaS cloud platforms (e.g., Azure, AWS, Google Cloud Platform.
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