Data Scientist

• Define and execute the strategy for Data Solutions & Services, aligning services with business objectives, market opportunities, and client needs
• Shape and grow a portfolio of innovative data services supporting AI, machine learning, and data-driven technologies
• Identify new business opportunities and contribute to commercial growth
• Expand relationships with existing and prospective clients
• Partner with clients to understand challenges and design solutions delivering measurable business value
• Oversee data services engagements, ensuring quality, efficiency, operational excellence, and client satisfaction
• Build and lead a high-performing team
• Establish scalable operating models, governance frameworks, and delivery processes
• Collaborate with commercial, technology, and operational teams on strategy, solution design, and execution
• Contribute to business planning, capability development, and long-term strategic initiatives

Head of Data AI Solutions

• Lead end-to-end clinical data management start-up activities from protocol review through specification development, database build, testing, validation, and production go-live
• Review protocols to identify data collection requirements, build risks, inconsistencies, and impacts to database design or downstream processes
• Translate protocol requirements into study build specifications, including visit schedules, assessments, eCRFs, dosing, data collection, and edit checks
• Apply clinical data standards, including CDISC standards, eCRF design principles, field and variable conventions, and approved standard forms
• Partner with the Standards team to implement protocol-specific modifications
• Collaborate with Study Execution Teams, Medical Data Review, Programming, Data Management, Standards, and other stakeholders
• Plan and oversee sandbox testing and user acceptance testing, including defect documentation, resolution, retesting, and system-readiness confirmation
• Manage timelines, dependencies, deliverables, risks, and issue resolution for database go-live
• Assess and manage the data management impact of protocol amendments and post-go-live changes
• Maintain accurate data management start-up documentation in the eTMF
• Ensure deliverables comply with SOPs, ICH-GCP, regulatory requirements, and internal quality standards
• Manage day-to-day clinical data science activities and support team delivery

Lead Data Manager

• Join Etsy’s Search Ads team as a Senior Machine Learning Engineer
• Build machine learning systems for sponsored search, including retrieval, ranking, ad allocation, and user engagement modeling
• Develop custom machine-learning models that drive product vision and customer impact
• Maintain scalable pipelines for Etsy’s 90+ million buyers and sellers
• Personalize the ad experience to a buyer’s journey
• Work cross-functionally with product engineering teams and communicate model capabilities to product managers
• Apply advances in machine learning to improve relevance and buyer ad engagement
• Prototype, optimize, and productionize large-scale ML models for the ads funnel
• Conduct A/B experiments to validate ML models and pipelines
• Collaborate with product managers, ML engineers, and analytics partners to measure and improve the ads product