The Role

• • 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

• • 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

• • 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

Our process is different than most. It is designed to be fast, efficient and respectful. Here are the steps:

• • You submit your resume, short cover letter of questions, and take a personality assessment
  • Within 5-10 business days, we will notify you via email if we would like to go to the next step or not
  • The next step is a 45-minute interview with a leader of the practice, followed by a job history interview and case exercise. You will have one week to prepare for the case exercise
  • Within one week after the case exercise, we will give you an offer or let you know that we do not wish to move forward

• • Medical, dental, vision, and basic life insurance
  • Flexible PTO and company paid holidays
  • Retirement programs
  • 1% charitable giving program
  • Unrivaled career progression in a fast-growing, global team
  • Veeva is a Work Anywhere company. You can work from home or the office on any given day

• • 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.