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Tier-1 employer, generalist Data Scientist title, metro location, and broad skill requirements increase applicant competition.
Preferred biotechnology and regulated-industry experience creates strong domain specificity and limits cross-industry transferability.
Explicit 7–11 years, mandatory Python/ML/analytics skills, and biotech/regulatory preference increase shortlisting strictness.
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Lead the design, development, and deployment of analytical and AI-enabled solutions to improve decision-making and process optimization in Process Development.
Partner with stakeholders across science, engineering, business, and technology to prioritize analytics initiatives that deliver measurable business value.
Manage multiple assignments independently, provide guidance to peers, and contribute to shaping standards and repeatable approaches in analytics and data science delivery.
Master's degree OR Bachelor's degree with 7-11 years of relevant experience.
Proficiency in Python, R, SQL, or comparable analytical and query programming languages.
Experience in designing dashboards/visualizations using Spotfire, Tableau, Power BI, or similar tools.
Work Experience Required: 7-11 years relevant experience in data science, analytics, or related roles.
Experienced in applying data science and machine learning methods to solve complex business or scientific problems, preferably in regulated industries such as biotechnology or pharmaceuticals.
Strong communicator capable of translating business problems into analytical approaches and explaining insights to technical and non-technical audiences.
Proven ability to work in cross-functional and Agile teams handling multiple projects independently with leadership or mentorship responsibilities.