• Lead the development and training of Marketing Mix Models (MMM) to support data-driven marketing decisions • Design, build, and maintain data pipelines for MMM features and scoring processes • Perform input and output data validation to ensure model accuracy and reliability • Translate complex model outputs into clear business insights and actionable recommendations • Collaborate with cross-functional teams and stakeholders to align analytics solutions with business needs • Manage multiple priorities and deliverables under tight and shifting deadlines • Ensure high-quality standards in all deliverables, with strong attention to detail • Create clear and compelling presentations to communicate findings and recommendations • Handle stakeholder interactions, including managing expectations and navigating challenging conversations • Adapt to dynamic environments with frequent interruptions, urgent requests, and evolving priorities

• Deploy Cutting-Edge Data Science & Integration Innovation from API-led integration ecosystems to orchestrated operational workflows to advanced ML pipelines directly at customer sites in defense, intelligence, and aerospace environments. • Become a Trusted Partner Embedded with Mission Owners, working in classified and unclassified environments to deeply understand operational challenges and translate them into end-to-end data science and integration solutions using best-fit tooling. • Drive Innovation at the Front Lines by serving as the connective bridge between customer missions and internal engineering teams, gathering frontline feedback to help co-design integration patterns, workflow templates, and data science capabilities that strengthen national security outcomes. • Improve Efficiency, Mission-Readiness, and Trust by helping the U.S. and allied governments deploy integrated data technology stacks that deliver faster response times, better personnel utilization, and more effective logistics and asset management. • Drive Tangible Outcomes through Hands-On Implementation, taking responsibility for end-to-end technical delivery of complex data pipelines, integration flows, and predictive models—personally writing critical code, configuring systems, and troubleshooting issues in the field while guiding junior team members. • Build Transformative Data Science Solutions by taking primary ownership of designing, developing, and implementing high-quality, scalable production ML and analytics systems, including predictive models, intelligent automation pipelines, and LLM-augmented workflows. • Engineer Bespoke Integration Architectures, designing and building custom API-led integrations using enterprise integration platforms to ensure seamless connectivity across enterprise data sources, operational systems, and cloud environments in highly regulated settings. • Orchestrate Complex Workflows, leveraging modern workflow automation and process orchestration platforms to model, automate, and optimize multi-stakeholder operational processes in manufacturing, logistics, supply chain, and mission operations contexts. • Own the Entire Data Lifecycle on-site with customers—from strategic data modeling to hands-on ETL/ELT pipeline construction, feature engineering, and integration strategy—ensuring data is always ready, optimized, and secure for advanced analytics and AI applications. • Lead Rapid Prototyping and Iteration, developing proofs-of-concept and MVPs side-by-side with customer teams to demonstrate data science and integration capabilities and set the pace for rapid, mission-aligned delivery.

• Extract, curate, explore, and analyze data from large data sources (30%) • Develop and deploy AI models that influence business decisions (30%) • Collaborate with stakeholders, product management, and leadership to methodically transform business problems into detailed and practical analytical requirements (20%) • Introduce new ML methods and drive change throughout the business (5%) • Research new data sources and analytical tools; contribute to new application development and data quality improvement efforts (5%) • Provide general business support (10%)

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Join a high-autonomy team dedicated to solving the most complex commercial challenges in Life Sciences. As a Data Scientist in our Business Consulting group, you will transform raw data into strategic insights that help our customers deliver life-saving medicines to patients faster and more efficiently. You will bridge the gap between sophisticated mathematical modeling and real-world business impact, ensuring every solution we build is scalable, accurate, and meaningful. What You'll Do - Solve Real-World Challenges: Use your technical expertise on 4–12 week analytics engagements that directly impact Brand Strategy, Patient Analytics, and Sales Operations for global pharmaceutical leaders - Translate Data to Value: Transform complex commercial events—such as pharmacy claims and prescriber trends—into clear, actionable narratives that help customers improve patient access to therapy - Architect Scalable Solutions: Design and implement structured data models and reusable code patterns that ensure our insights are consistent, reliable, and platform-ready - Consult with Purpose: Partner closely with business leaders to navigate ambiguous requirements, ensuring our technical execution is always grounded in the customer's "bottom line" goals - Drive Team Velocity: Identify opportunities to automate manual workflows and standardize data processing to accelerate the delivery of high-signal insights to the market Requirements - PhD in a STEM field plus 1+ years of experience in a Data Science role. Alternatively, a Masters degree in a STEM field plus 3 years experience - Data Intuition & Real-World Mapping: Exceptional ability to understand how raw data connects to real-world events. You must be able to strategically clean and structure complex datasets to preserve the "business signal" for analysis - Mathematical Foundation: A strong intuition for grounding problem-solving in mathematical principles and a deep curiosity for the "why" behind data trends - Strong Programming Skills: Proficiency in Python and SQL with the ability to independently develop and troubleshoot data processing pipelines - Industry Context: Experience in the Life Sciences industry is essential, with a focus on understanding the commercial landscape (Patient, Brand, or Sales Operations) - Communication with Impact: The ability to distill complex technical findings into strategic stories that drive decision-making for non-technical business leaders - Analytical Problem-Solving: A proven track record of defining a clear technical blueprint and business objective before initiating execution Nice to Have - Consulting Experience: Previous experience in a client-facing role, managing project timelines and stakeholder expectations - Workflow Orchestration: Familiarity with Airflow or similar tools for automating and scheduling data workflows - Cloud Infrastructure: Experience working within an AWS ecosystem for data storage and processing - Specialized Data Knowledge: Exposure to longitudinal patient data, specialty pharmacy claims, or payer data schemas Perks & Benefits - Medical, dental, vision, and basic life insurance - Flexible PTO and company paid holidays - Retirement programs - 1% charitable giving program Compensation - Base pay: $95,000 - $140,000 - The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-RemoteUS #LI-Associate Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.