Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
About the role
- Product Manager driving AI solutions for global regulatory activities in data science organization. Collaborating with teams to enhance regulatory processes and product strategies.
Responsibilities
- Drive the development and management of data science and artificial intelligence (AI) solutions to support global regulatory activities
- Define, drive development and execute implementation for product strategy for complex AI-driven regulatory tools
- Collaborate with data science teams to translate human-centered workflows into technical product requirements
- Identify and evaluate opportunities where generative AI can transform document generation and regulatory interactions
- Collaborate closely with cross-functional teams to develop product strategies
- Lead agile delivery product teams, managing end-to-end product lifecycle among others
Requirements
- Advanced degree (MS/PhD) or equivalent practical experience in Life Sciences, Regulatory Affairs, Data Science, or related field
- 10+ years in product management activities
- 3-5+ years of experience leading teams
- 5+ years of hands-on product management experience
- 3+ years in pharmaceutical/biotech clinical development environment
- Strong understanding of global regulatory submission processes (e.g., FDA, EMA, PMDA) and compliance requirements
- Experience with developing or deploying generative AI tools and skills, including prompt engineering, RAG development, knowledge graphs, agent-based approaches
- Proven track record using agile methodologies, product analytics, and user-centered design principles
Benefits
- Opportunity to directly impact patient outcomes through innovative clinical trial technologies
- Collaborative environment with world-class data scientists and clinical experts
- Exposure to cutting-edge pharmaceutical R&D processes and regulatory landscapes
- Competitive compensation package with equity participation
- Professional development opportunities and conference attendance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
Data Science and AI student engaged in data processing and management. Open to candidates in Germany, starting in 2026, with supportive environment for development.
Data Scientist II providing actionable insights through advanced analytics and consulting with stakeholders at Truist. Conducting statistical analyses and developing predictive models using structured and unstructured data.
Senior Responsible AI Data Scientist focusing on ethical AI within Humana to drive responsible AI initiatives across the organization. Partnering with teams to implement innovative and compliant AI solutions in healthcare.
Director of Data Science leading the Identity fraud product development at TransUnion. Collaborating with stakeholders to build market - leading identity data products and analytic solutions.
Data Analyst supporting internal audit for a bank in Zürich. Building databases, conducting analysis, and presenting findings to senior management.
Manager II, Data Science leading HR Analytics and developing predictive models for decision - making. Collaborating with cross - functional teams to implement data - driven solutions across the organization.
Data Manager for B2B - Mailings at ZEIT Advise, supporting the automation and segmentation of marketing processes in Hamburg. Focusing on CRM systems and email marketing strategies.
Lead Data Scientist at AT&T, building predictive models and analyzing customer lifecycle marketing strategies. Collaborating with cross - functional teams to enhance marketing and business outcomes.
Lead Data Scientist managing AI initiatives for a global IT consulting firm. Overseeing AI strategy, governance, and multidisciplinary team leadership in a hybrid work environment.