Data Scientist - Business Consulting

Veeva; Boston (MA); On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, vision, and life insurance

Flexible PTO

Retirement programs

1% charitable giving program

Unrivaled career progression

Job summary

Veeva in Boston is seeking a Data Scientist to join a high-autonomy team focused on solving complex challenges in Life Sciences. The role involves transforming raw data into strategic insights for pharmaceutical clients, ensuring impactful solutions.

The ideal candidate will have a PhD in a STEM field or a Master's degree with extensive experience, strong programming skills in Python and SQL, and the ability to communicate complex findings to business leaders. Flexible work options are available.

Qualifications

• Exceptional ability to connect raw data to real-world events.
• Proficiency in mathematical principles.
• Ability to communicate findings clearly to non-technical leaders.

Responsibilities

• Use technical expertise on analytics engagements impacting pharmaceutical leaders.
• Translate complex commercial events into actionable narratives.
• Design and implement structured data models.

Skills

Data Intuition & Real-World Mapping

Strong Programming Skills

Mathematical Foundation

Analytical Problem-Solving

Consulting Experience

Workflow Orchestration

Cloud Infrastructure

Education

PhD in a STEM field or Masters degree plus 3 years experience

Tools

Python

SQL

Airflow

AWS

Job description

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.

Responsibilities

• 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

Qualifications

• 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

Benefits

• 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

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.

Equal Opportunity Employer

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 [e-mail].