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Strong employer brand, hybrid role, senior data scientist title, and generalist ML skillset drive high applicant competition.
Core ML/AI skills transfer across industries, but enterprise solution experience raises domain specificity.
Many mandatory ML/AI tools, deployment skills, and certifications increase screening strictness.
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Lead design, development, and implementation of AI models and algorithms to solve complex business challenges.
Conduct comprehensive data analysis to extract actionable insights and drive AI capabilities across the organization.
Mentor junior data scientists and collaborate with cross-functional teams to enhance AI-driven solutions.
Bachelor's or Master's degree in Business Analytics, Computer Science, Statistics, or Data Science.
Proficiency in advanced AI/ML tools and methodologies including Amazon SageMaker, AutoML, CI/CD practices.
Certifications such as Alteryx Designer Core, Deep Learning Certificate, or Professional Machine Learning Engineer preferred.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading AI/ML projects and deploying scalable AI solutions in a cross-functional environment.
Ability to stay updated with latest AI/ML industry trends and apply advanced techniques effectively.
Capable of mentoring and providing technical guidance to junior data scientists in complex projects.