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.
The Role
Crossix Analytics is a business within Veeva dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, Veeva Crossix provides life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.
We are looking for a high performing methodologist to join our team in New York. The right candidate enjoys deconstructing complex problems and building analytics products, prioritizing simplicity and efficacy over complexity.
You will serve as a key driver in our business’ commercial success, owning methodological and data science research end-to-end. The position is offered at multiple levels of seniority.
What You’ll Do
Translate ambiguous business questions into concrete analytical frameworks.
Own the technical design and implementation of these solutions. You will select the most pragmatic tool for the specific constraint, ranging from rules-based logic to machine learning pipelines.
Collaborate with production engineers to deploy machine learning applications and product managers to deploy rule-based methodologies into production.
Continuously improve best practices (research, coding, testing, automation).
Productively engage with customer analytics & data science teams to evolve early-stage products and to create customer understanding of our methodologies.
Requirements
10+ Years of hands-on analytics and data science experience
Expert in Python and SQL
Demonstrated track record of designing & implanting analytical methodologies for products
Proficient with source control workflows like GitHub
Some experience working with big data tools like Spark and AWS
Strong written & verbal communication skills
Nice to Have
Rx & Medical Claims data expertise
HCP data expertise
Demonstrated track record of designing and implementing causal inference methodologies
PySpark application development experience
Perks & Benefits
Medical, dental, vision, and basic life insurance
Flexible PTO and company paid holidays
Retirement programs
1% charitable giving program
Compensation
Base pay: $115,000 - $165,000
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.
