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Strong employer brand, generalist data scientist title, metro location, and broad skillset increase competition.
Core technical skills transferable, but regulated biotech domain knowledge raises medium industry specificity.
Explicit 7–11 years requirement and domain-specific technical skills make filters moderately strict.
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Lead analytical initiatives to enhance decision-making, data accessibility, and scalable AI capabilities in Process Development.
Develop and deploy data science solutions, dashboards, models, and AI-enabled products supporting scientific and business objectives.
Partner with cross-functional teams to drive data strategy, process optimization, and digital transformation across Process Development.
Master's degree OR Bachelor's degree with 7-11 years relevant experience.
Proficiency in Python and/or R, SQL, and experience with data visualization tools like Spotfire, Tableau, or Power BI.
Experience applying data science, analytics, and statistical methods to complex business or scientific problems.
Work Experience Required: 7-11 years relevant experience.
Experienced in biotechnology, pharmaceuticals, manufacturing, or other regulated industries or similar complex scientific domains.
Skilled at leading projects and collaborating with scientists, engineers, business stakeholders, and technology teams.
Proficient in applying machine learning, AI, generative AI, and data governance principles in cross-functional, Agile environments.