Sr. Data Scientist, People Analytics

The Role:

Joining Moderna offers the unique opportunity to be part of a pioneering team that's revolutionizing medicine through mRNA technology, with a diverse pipeline of development programs across various diseases.

As an employee, you'll be part of a continually growing organization, working alongside exceptional colleagues and strategic partners worldwide, contributing to global health initiatives.

Moderna's commitment to advancing the technological frontier of mRNA medicines ensures a challenging and rewarding career experience, with the potential to make a significant impact on patients' lives worldwide.

Moderna is solidifying its presence within our international business services hub in Warsaw, Poland, a city renowned for its rich scientific and technological heritage. This hub provides critical functions, meeting the growing demand of Moderna’s global business operations. We're inviting professionals from around the world to join our mission and contribute to the future of mRNA medicines.​

Moderna is seeking a motivated and technically versatile Senior Data Scientist to join our People Analytics team based in Warsaw. This role will work at the exciting intersection of data science, generative AI, and human resources, shaping Moderna's future workforce strategies through intelligent, predictive, and automated insights.

As part of a small, agile team, you will contribute directly to high-impact analytical products and research, deploying AI models that influence talent decisions and organizational outcomes. You will explore and implement innovative applications of machine learning, NLP, and AI-driven automation in HR, helping Moderna unlock deeper insights into performance, retention, engagement, and collaboration.

Here's What You’ll Do:      

Your key responsibilities will be:

• Develop production-grade predictive models to support workforce planning, retention forecasting, and strategic HR decision-making.

• Analyze structured and unstructured data sources, including employee sentiment, collaboration patterns, and performance indicators.

• Apply NLP and generative AI methods to extract insights from employee feedback and communication channels.

• Design experiments and hypothesis tests to validate AI-derived insights and enhance model interpretability.

• Build organizational network analysis frameworks using AI-based pattern recognition to study team dynamics and connectivity.

• Deliver machine learning solutions that are scalable, explainable, and well-documented for cross-functional use.

Your responsibilities will also include:

• Collaborate closely with data engineering partners to maintain and evolve robust people analytics data pipelines.

• Implement automation in analytics workflows using AI to drive repeatability, reduce manual effort, and boost efficiency.

• Integrate advanced analytics into HR platforms and dashboards for broader access and strategic decision support.

• Continuously research and test emerging AI/ML capabilities, particularly those in the generative AI domain, to extend Moderna’s competitive advantage in HR tech.

The key Moderna Mindsets you’ll need to succeed in the role:

• We digitize everywhere possible using the power of code to maximize our impact on patients.
  This role exemplifies Moderna’s digital-first approach—your ability to use AI, NLP, and automation to transform raw data into powerful, actionable insights is at the heart of our people and platform strategies.

• We pursue options in parallel to make the best choice later.
  You’ll need to creatively explore multiple models and approaches, testing hypotheses and rapidly prototyping new AI capabilities to generate options that elevate decision-making and HR effectiveness at Moderna.

Here's What You’ll Need (Basic Qualifications):

• Ph.D. or Master’s degree in Data Science, Statistics or a related field.

• Experience building models, executing statistical analyses and manipulating data in real-world setting (2-5+ years for Ph.D. or 8-10+ for Masters).

Here's What You’ll Bring to the Table:  

• Hands-on experience in developing end-to-end analytic solutions (full data science life cycle), from ETL to model building, model deployment to model performance monitoring.

• Proficiency in Python.

• Extensive experience in NLP is strongly preferred.

• Experience in fine-tuning LLMs to adapt pre-trained models for specific domains, enhancing their performance and applicability.

• Experience with applying AWS (e.g., S3, EC2, Sagemaker, Glu