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Mid-level generalist data science role in metro with broad skill requirements increases candidate competition.
Core machine learning and statistics skills transfer across industries, though retail/customer focus adds moderate bias.
Explicit 5–7 years requirement plus mandatory Python/SQL and degree narrows eligible candidates.
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Develop, implement, and deploy complex machine learning applications to solve client problems.
Translate complex data challenges into actionable insights impacting customer experience directly.
Collaborate with advanced data science team members to innovate and redefine standard data science approaches.
Degree in Statistics, Maths, Physics, Economics or a similar field.
5-7 years of relevant work experience.
Proficiency in Python and SQL mandatory.
Experience in statistical modeling and applying data science to client problems.
Experienced in connecting data science work directly to customer experience and business impact.
Strong logical thinking, analytical problem-solving, and stakeholder management skills.
Able to operate in a collaborative, innovative environment challenging existing methodologies.