Data Scientist - Business Consulting

Reposted 11 Days Ago
Hiring Remotely in Toronto, ON, CAN
In-Office or Remote
95K-140K Annually
Mid level
Big Data • Cloud • Healthtech • Software • Big Data Analytics
The software company powering the path to the world’s new medicines.
The Role
As a Data Scientist in Consulting, you will analyze raw data, develop scalable solutions, and drive strategic insights for pharmaceutical clients to enhance patient access and improve operational efficiency.
Summary Generated by Built In
Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website.
 
Consulting is changing, and we’re not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together.
 
We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen.

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

The Process

    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

Perks & Benefits

  • Medical, dental, vision, and basic life insurance
  • 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

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.

#LI-RemoteCanada#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 [email protected].

Skills Required

  • PhD in a STEM field plus 1+ years of Data Science experience or Masters degree plus 3 years experience
  • Proficiency in Python and SQL
  • Experience in the Life Sciences industry

Veeva Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veeva and has not been reviewed or approved by Veeva.

  • Equity Value & Accessibility Equity is broadly distributed across the company, positioning most employees as shareholders. Stock-based incentives can materially enhance total compensation, particularly at higher seniority.
  • Flexible Benefits Work Anywhere enables remote-first flexibility with options to use offices and to gather through offsites or coworking weeks. This structure supports collaboration while minimizing rigid on-site requirements.
  • Healthcare Strength Core coverage includes medical, dental, vision, HSA/FSA, life and disability, and EAP. Supplemental perks such as commuter assistance and wellness or gym reimbursements are available in some locations.

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The Company
HQ: Pleasanton, CA
6,000 Employees
Year Founded: 2007

What We Do

Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.

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