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Strong employer brand, popular Lead Data Scientist title, metro location, and broad AI skill demands.
Core ML/AI skills are highly transferable across industries.
No explicit years but requires specific ML/AI model expertise, tooling, and leadership experience.
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Lead the design, development, and deployment of AI models and algorithms to drive business innovation and intelligence.
Collaborate with cross-functional teams to define project goals, requirements, and implement AI solutions improving accuracy, efficiency, and predictive power.
Provide technical guidance and mentorship to junior data scientists while staying updated with latest AI and data science advancements.
Bachelor's degree in Business Analytics, Computer Science, Statistics, or Master's degree in Data Science.
Proficient in English (C2 level).
Experience with AI technologies including Amazon SageMaker, Automated Machine Learning (AutoML), machine learning model management, and continuous delivery/integration methods.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading AI solution development with a track record of deploying scalable machine learning models.
Skilled at collaborating across teams and aligning technical AI outputs with business goals.
Capable of mentoring junior staff and driving adoption of best practices in a fast-moving, innovation-focused environment.