veeva - Systems - Data Scientist - Analytics Business Consulting
Requirements
• 2+ years of proven experience in data science, advanced analytics, or machine learning roles, preferably within Life Sciences, pharmaceuticals, or healthcare analytics • Strong problem-solving and communication skills, with a track record of collaborating effectively across cross-functional teams. Skilled at translating complex technical challenges to non-technical stakeholders, driving impactful problem-solving sessions, and championing a pragmatic approach to solution design • Strong technical expertise across Python, SQL, advanced analytics, machine learning, and AI, with a proven ability to design and implement predictive models and intelligent algorithms that solve complex business problems • You bring Experience writing process documentation, technical specifications, and data collection guidelines to ensure quality, scalability, and repeatability across projects • Knowledge of Veeva products • Experience delivering SaaS or Tech-enabled consulting solutions • M.S. or Ph.D. in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field • Languages in addition to English • Understanding of healthcare, life sciences, or pharmaceutical industry data • Experience with data visualization tools to create dashboards and reports • Understanding of data engineering concepts (ETL, data pipelines) and automation tools such as Apache Airflow • Familiarity with cloud based computing resources such as AWS • ## Interviewing with Veeva • We value your time and believe in a transparent hiring process. Here is the process you can expect. • Follow the application process and submit your resume. • Within 3 days, you will receive a link to a personality assessment administered by a third party. • Once you complete the assessment, our team will review your full application package and follow up via email with our decision. • If moving to the interview stage, the process is as follows: • A conversation with the hiring manager • A practical case exercise • A final conversation with our group's Senior Leader. • Once all interviews are complete, the manager will be in touch with a final decision.
Responsibilities
• Design, prototype, and scale advanced analytics solutions for Life Sciences customers across European markets • Process, harmonize, and connect Veeva Data Cloud products with diverse European healthcare data assets • Develop and apply statistical methodologies, machine learning, and AI models to solve complex, high-impact commercial and strategic business questions in the Life Sciences space • Build and design HCP precision engagement engines that connect disparate healthcare datasets integrated seamlessly with customer CRM information to enable personalized, data-driven targeting and activation • Collaborate closely in integrated, cross-functional teams alongside product managers, data engineers, operations, and consultants to deliver end-to-end analytical solutions and ensure continuous feedback and iteration • Maintain clear documentation of data methodologies, model architectures, and validation processes to ensure defensibility, scalability, and transparency across client engagements
Benefits
• Compensation: Highly competitive salary and equity in Veeva • Growth: Unrivalled career progression in a fast-growing, global team • Flexibility: Veeva is a Work Anywhere company. You can work from home or the office on any given day • Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
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