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Mid-level ML role in metro with common skills and decent brand increases applicant competition.
Strong transferable ML/statistics skills, though retail/customer-experience domain knowledge increases preference.
Explicit 5–7 years plus mandatory Python, SQL and statistical modelling creates stringent filters.
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Develop, implement, and deploy complex machine learning applications and data science solutions to address client problems.
Translate complex data problems into actionable insights with measurable impact on client customer experiences.
Collaborate closely with advanced data science team members to innovate and challenge existing methodologies.
5-7 years of relevant work experience in data science or related fields.
Degree in Statistics, Mathematics, Physics, Economics, or a similar quantitative discipline.
Strong programming skills in Python and SQL are mandatory.
Experience with statistical modeling and applying data science techniques to real client problems.
Experienced data scientist capable of independently managing end-to-end applied machine learning projects with direct commercial impact.
Comfortable working in a collaborative, innovative team environment pushing boundaries in data science solutions.
Strong communicator with ability to engage stakeholders and connect technical work to customer experience enhancements.