Principal Data Scientist (Commercial Excellence)

Waters; Milford (MA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading company in chromatography and mass spectrometry seeks a Principal Data Scientist. This role involves driving data-informed strategies, optimizing sales and marketing effectiveness, and developing predictive models. Join a dynamic team focused on enhancing commercial outcomes and fostering data quality.

Qualifications

• 8+ years of experience in data science with impactful solutions.
• Deep expertise in statistical modeling and machine learning.
• Proficiency in Python, R, or Scala.

Responsibilities

• Analyze large volumes of commercial data for insights.
• Develop predictive models and dashboards.
• Collaborate with cross-functional teams to drive business initiatives.

Skills

Data Science

Statistical Modeling

Machine Learning

Advanced Analytics

Data Visualization

Communication

Education

Master's or PhD in Data Science, Computer Science, Statistics, Mathematics

Tools

Python

R

Scala

SQL

Spark

Power BI

Celonis

AWS

Azure

Job description

Overview

Our Center for Process Excellence team is on a mission to improve business outcomes and employee experiences by driving step-change improvements in critical enterprise processes, and the technology and analytics supporting these.

We are looking for a Principal Data Scientist to join our Commercial Excellence team, and the broader Data Scientist community in our Center for Process Excellence.

As a Principal Data Scientist, you will play a critical role in driving data-informed strategies that optimize sales performance, marketing effectiveness, and customer engagement. Your responsibilities will include analyzing large volumes of commercial data to uncover trends, customer behaviors, and performance drivers; developing predictive models and dashboards identify growth opportunities; and collaborating with cross-functional teams to translate insights into actionable business initiatives. You will also craft experiments to test commercial hypotheses, support pricing and segmentation strategies, and ensure data quality and consistency across systems, ultimately chipping into smarter decision-making and enhanced commercial outcomes

Responsibilities

• Segment customers and markets using clustering and classification techniques to inform targeting strategies
• Analyze sales and marketing data to identify trends, opportunities, and performance gaps
• Develop predictive models to identify growth opportunities, predict customer churn, etc.
• Collaborate with stakeholders, business process analysts, and other SMEs to ensure alignment on business objectives and technical requirements
• Ensure data integrity and consistency by working closely with data engineering and governance teams
• Collaborate with sales, marketing, and finance teams to align data insights with business goals

• Communicate findings and recommendations clearly to non-technical team membersto drive action

• Continuously evaluate and improve models and methodologies to adapt to changing business needs

Qualifications

• 8+ years of experience in data science, with a strong track record of delivering impactful, business-driven solutions

• Track record of optimally completing projects across people, process, data, and technology in complex, global organizations

• Deep expertise in statistical modeling, machine learning, and advanced analytics techniques

• Proficiency in programming languages such as Python, R, or Scala, and experience with data manipulation tools (e.g., SQL, Spark, Pandas)

• Strong experience with data visualization and BI tools (e.g., Power BI, Celonis)

• Proven ability to lead complex, cross-functional analytics projects from ideation to implementation

• Excellent communication skills, with the ability to translate complex technical findings into strategic business insights

• Experience mentoring junior data scientists and supplying to team capability building

• Familiarity with cloud platforms and data infrastructure (e.g., AWS, Azure)

• Demonstrated business acumen and ability to influence decision-making at the leadership leve

• Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related field

Company Description

Waters Corporation (NYSE: WAT), the world's leading specialty measurement company, has pioneered chromatography, mass spectrometry and thermal analysis innovations serving the life, materials, and food sciences for over 60 years. With approximately 8,000 employees worldwide, Waters operates directly in 35 countries, including 15 manufacturing facilities, with products available in more than 100 countries. Our team focuses on creating business advantages for laboratory-dependent organizations to enable significant advancement in healthcare delivery, environmental management, food safety, and water quality.

Working at Waters enables our employees to unlock the potential of their careers. Our global team is driven by purpose. We strive to be better, learn and improve every day in everything we do. We’re the problem solvers and innovators that aren’t afraid to take risks to transform the world of human health and well-being. We’re all in it together delivering benefit as one to provide the insights needed today in order to solve the challenges of tomorrow.

Diversity and inclusion are fundamental to our core values at Waters Corporation. It is our responsibility to actively implement programs and practices to drive inclusive behavior and increase diversity across the organization. We are united by diversity and thrive on it for the benefit of our employees, our products, our customers and our community. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or protected Veteran status.

Key WordsData Science, Sales, Marketing, Analytics, ML, AI, Salesforce.com #LI-Hybrid