Data Scientist / Senior Data Scientist

Veeva · New York - New York City

On-siteWorkplace
Apr 20Posted · Apr 20
LeverSource
$152kdata scientist median
Apply now Opens the original posting at Veeva. PivotHop does not host applications.

Skills in this posting

The posting

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.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

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

Interviewing with Veeva

We value your time and believe in a transparent hiring process. Here is the process you can expect.

Follow the application process and submit your resume.

Within 3 days, you will receive a link to a personality assessment administered by a third party.

Once you complete the assessment, our team will review your full application package and follow up via email with our decision.

If moving to the interview stage, the process is as follows

A conversation with the hiring manager

A practical case exercise

A final conversation with our group's Senior Leader.

Once all interviews are complete, the manager will be in touch with a final decision.

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.

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