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Veeva

Posted 2 months ago

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Data Scientist - Business Consulting

TorontoRemoteFull-time

AI Summary

Data Scientist in Veeva's Business Consulting group analyzes raw data and builds scalable models to deliver strategic insights for life sciences clients, bridging math, data processing, and business impact on Brand Strategy, Patient Analytics, and Sales Operations.

About this role

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
  • PTO and company paid holidays
  • Retirement programs
  • 1% charitable giving program

    • Compensation

  • Base pay: $95,000 - $140,000 CAD
  • 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.

    • Skills

    AirflowAzure/AWS (cloud) - AWS Mentioned In RequirementsClaims DataData CleaningData ModelingData PipelinesData VisualizationETLMachine LearningNumPyPandasPharma / Life Sciences DataPrescriber TrendsPythonSQLSQL OptimizationStatistical AnalysisStructured Data Modeling

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