Senior Data Scientist

Job Description

Red Nucleus is hiring a Data Scientist to join our Innovation team

Our purpose is advancing knowledge to improve lives. We succeed by being the premier provider of strategic learning and development, scientific advisory services (commercial, market access, medical affairs), and medical communications solutions for the life sciences industry. Our global team is composed of nearly 1,000 full-time employees whose commitment to creativity, quality, and on-time delivery is unrivaled in our space.

At Red Nucleus, we believe in providing a rich working environment that pushes us to innovate in ways that engages our employees to be their best selves. Our culture is about meaningful work, a true sense of community, and fun. We love to celebrate our people and we are proud to have been Internationally recognized as a Great Place to Work.

Job Overview

We are seeking a forward-thinking, impact-driven Data Scientist to join our Innovation Office. In this role, you will go beyond analysis, you will build and productize innovative data solutions that transform how we work, make decisions, and deliver services. You will work closely with business leaders to create AI-driven products and insights that are scalable, sustainable, and operationally embedded across the enterprise for both internal use and for transformative service delivery with Red Nucleus clients.

Responsibilities

- Innovative Data Solutions o Identify high-impact opportunities for AI and advanced analytics to create new product capabilities.

- Contribute to the design and evolution of data products, from early prototype to full-scale deployment (build in collaboration with a broader team, either internal or external)
- Help develop frameworks for data solution productization, ensuring repeatability, governance, and ease of adoption.

- Model Development & Productization o Design and build machine learning models and algorithms that solve core business challenges.

- Translate models into production-ready, reusable components that can be deployed at scale across business units for both internal and client use.
- Collaborate with BUs and other data scientists / engineers (internal or outsourced) to package, deploy, and maintain data products and services that drive efficiency and innovation.

- Cross-Functional Collaboration o Support the development of intelligent tools and platforms that can be scaled across multiple use cases.

- Engage in product thinking (through workshops and other forums) to ensure data solutions are user-friendly, modular, and aligned with business needs.

- Insight Generation & Storytelling (in collaboration with BUs) o Collaborate with business units to turn insights into actionable, productized outputs.

- Support BUs in conducting deep-dive analyses to uncover meaningful insights from structured and unstructured data.
- Visualize and communicate findings in a clear, business-relevant narrative that informs decision-making.

- Responsible AI & Governance o Ensure all data solutions are developed with privacy and compliance requirements in mind.

- Document data model and product assumptions, methodologies, and limitations to support responsible use and ongoing maintenance.

Education, Experience, Training, and Knowledge

Education

- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.

Experience

- 3-10 years of experience in data science, analytics, or applied machine learning.
- Strong programming skills in various languages (for example: python, R, etc, with broad experience in libraries (for example: such as scikit-learn, TensorFlow, or PyTorch).
- Proficient in working with cloud-based data platforms (for example: Snowflake, AWS, Azure, Databricks).
- Hands-on experience operationalizing models or data pipelines in production environments.
- Solid understanding of statistics, machine learning, and model performance evaluation.
- Experience developing or contributing to data products or AI-powered tools preferred.

Skills & Abilities

- A builder's mindset, excited to move from model to product and drive measurable business impact.
- Curiosity, creativity, and a passion for innovation.
- Strong communication skills and a desire to work collaboratively across technical and nontechnical teams.
- A commitment to quality, ethics, and continuous improvement in everything you deliver.