• Lead the enterprise strategy for clinical data science, including predictive modeling, machine learning innovation, and causal evaluation of clinical programs. • Develop and deploy advanced models that identify, stratify, and prioritize members for clinical and care management interventions. • Oversee development of models for high-risk and rising-risk identification, avoidable utilization, chronic condition progression, and care management prioritization. • Advance the organization’s AI capabilities by applying modern machine learning approaches, including deep learning and transformer-based models, to large healthcare datasets. • Partner with clinical, operational, actuarial, and analytics leaders to translate business and clinical priorities into scalable data science solutions. • Establish standards for model governance, monitoring, and performance management to ensure regulatory compliance, fairness, and responsible AI practices. • Build, lead, and mentor a high-performing team of data scientists.

• Lead advanced measurement strategy across HCP and DTC campaigns, including MMM, multi-touch attribution, incrementality testing, brand affinity, and lift studies. • Integrate and analyze healthcare datasets including IQVIA, Crossix, PurpleLab, Experian, Medicaid, and other claims or identity-based data sources to quantify media impact. • Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic to business outcomes and promotional KPIs. • Query and manipulate large datasets within Snowflake, operating within a medallion (Bronze/Silver/Gold) data architecture. • Build structured datasets and dashboards in Tableau and Looker that support real-time insight generation and executive reporting. • Translate statistical and modeling outputs into clear, actionable storylines that demonstrate how campaigns drive business performance. • Develop executive-ready PowerPoint presentations that bring data to life for clients and senior stakeholders. • Collaborate closely with Media Strategy, Data Strategy, Engineering, and Account teams to ensure measurement frameworks are aligned with business objectives. • Mentor analysts and foster a culture of innovation, rigor, and cross-functional partnership within the data science function.

• Build robust forecasting models across streaming, audience growth, and commercial performance. Support comprehensive forecasting efforts across deal risk, merchandise, and demand planning. • Gather and analyze audience data to establish best practices for capturing music listening preferences. Detect anomalies and surface actionable insights from large-scale streaming and engagement data. • Transform complex data into compelling stories via tailor-made presentations. Develop new hypothesis testing frameworks and decision-making tools for the real-time assessment of audience viewing patterns and music delivery streams. • Partner with local affiliates, labels, international teams, and Global Technology. Collaborate closely with merchandising teams and business stakeholders to deliver critical reporting and inference. • Interact directly with data engineering teams to identify, define, and secure the data needs required for mathematical models.

Title: Data Scientist - Business Consulting Team: Business Consulting Country: United States Remote Work Available: Yes Job Description: 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. Work Where It's Best for You Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for each person. This applies across all locations and departments. Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We're investing more in offices, culture, and offsite meetings, not less. Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that. Work at Veeva. Work where it's best for you.