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Popular early-career ML/data role, metro location, and broad skillset increase applicant competition.
Core ML, data, and analytics skills are broadly transferable across industries.
Mandatory applied data/AI experience and specific AI/ML skills create moderate shortlisting filters.
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Own end-to-end analytics and AI solutions from root cause diagnosis to business decision and measurable outcomes.
Develop predictive models, automated pipelines, and intelligence layers that drive outcomes and minimize manual work.
Build and maintain scalable data infrastructure including pipelines, foundational models, and data quality checks for team use.
1+ years applied experience in analytics or data science projects.
Strong skills in Python and SQL with solid data management fundamentals.
Practical experience with AI, including active use of large language models (LLMs) and building AI-powered workflows.
Work Experience Required: 1+ years in relevant domain.
Demonstrates strong problem-solving ability by diagnosing root causes beyond executing queries.
Able to independently scope and run projects without detailed instructions.
Experience with building and optimizing AI-powered operational workflows and analytics intelligence layers.