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Metro location, mid-level generalist ML role, and broad skill requirements increase candidate competition.
Core ML and data skills are transferable across industries, though retail experience helps.
Explicit 5+ years requirement and core ML/data skill mandates create moderate filtering.
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Develop, implement, and deploy complex machine learning applications and components to solve client challenges.
Deliver actionable data science solutions directly tied to improving customer experience and business impact.
Collaborate with advanced data science team members to challenge and innovate conventional practices.
Degree in Statistics, Mathematics, Physics, Economics, or a related field.
5+ years of relevant data science or applied analytics experience.
Proficiency in Python and SQL programming languages.
Experience in statistical modeling and applying data science techniques to client problems.
Experienced in transforming complex business problems into measurable data-driven solutions with impact on customer experience.
Strong logical thinking, problem-solving, and stakeholder management skills demonstrated over multiple projects.
Comfortable working in collaborative, advanced data science teams with a focus on innovation and client-focused outcomes.