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Strong employer, popular data science role and mid-level experience increases applicant competition.
Pharma claims data focus increases domain specificity though core ML skills remain transferable across industries.
Explicit 4-year requirement plus mandatory ML/domain skills and SAS/advanced SQL make filters strict.
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Design, develop, and deploy predictive models and analytical solutions specifically for the pharmaceutical sector using Pharma Claims Data.
Analyze complex problems and propose practical, data-driven strategies that support commercial initiatives in pharma.
Mentor junior colleagues, maintain high work standards, and build strong client relationships through effective communication.
Bachelor's Degree required; Master's Degree in Data Science preferred but not mandatory.
Minimum 4 years of experience in data science, machine learning, or applied statistics.
Proficiency in English (oral and written) is mandatory.
Hands-on experience with SAS and advanced SQL is explicitly expected.
Experienced in applying machine learning frameworks and methodologies to large-scale data sets, preferably in pharmaceutical or commercial analytics contexts.
Skilled in communicating data insights effectively through data storytelling and client engagement.
Capable of translating complex business problems into data-driven solutions and collaborating with multiple stakeholders.