PROS is seeking a motivated and analytically driven Data Scientist to join our AI Research team. This entry level role focuses on learning, applying, and contributing to the science models and algorithms that power PROS Smart Modules and the broader PROS Platform. You will work closely with senior scientists and machine learning engineers to conduct research, analyze data, and support the development and testing of new science solutions. This role is ideal for individuals who are passionate about AI, eager to deepen their technical expertise, and excited to translate business problems into data driven solutions.
Day in the Life of the Data Scientist I:
- Conduct research and statistical analysis to support the creation, enhancement, and testing of science models and algorithms.
- Collaborate with senior scientists and cross functional partners to understand product requirements and incorporate feedback.
- Contribute to documentation of research methodology, data preparation steps, and model behavior.
- Learn and apply PROS coding standards, science library modules, and existing pipelines used in research.
- Participate in internal science seminars and knowledge sharing sessions.
- Support productization of science modules by developing research prototypes, specifications, and validation methodologies in partnership with the product team.
Required Qualifications - About you:
- Master’s degree in Data Science, Computer Science, Statistics, Operations Research, or a related quantitative field.
- Good understanding of machine learning models, algorithms, and statistical methods.
- Strong technical foundation in at least one math/stat domain (e.g., probability, optimization, statistical modeling).
- Proficiency in Python and familiarity with ML libraries (e.g., NumPy, Pandas, Scikit-learn).
- Experience with data visualization tools or libraries (e.g., Matplotlib, Seaborn).
- Strong analytical and problem-solving skills with attention to detail.
- Ability to clearly communicate ideas in writing and verbally, including translating simple technical concepts for non‑technical audiences.
- Ability to work collaboratively in a fast-paced environment and follow guidance from senior team members.
- Passion for AI research, innovation, and continuous learning.
Highly Preferred:
- Experience with PySpark/Pytorch or distributed data processing.
- Experience in pricing, revenue management, forecasting, or related applied research areas.
- Experience working with large datasets or conducting exploratory data analysis in a research setting.
AI Fluency & Growth Mindset- We welcome candidates who:
- Understand core AI concepts and apply them ethically to enhance productivity, insights, and decision-making.
- Craft effective prompts to optimize the quality and relevance of AI-generated outputs.
- Explore and apply agentic AI systems, using or managing autonomous agents to streamline workflows and automate tasks.
- Leverage AI tools to boost efficiency, creativity, and innovation in their daily work.
- Stay curious and adaptable, continuously experimenting with AI-driven solutions to elevate team performance and customer impact.
Why Join PROS?
PROS culture and its extraordinary people are at the core of our success. We are passionate about what we do and relentless in delivering on our promises.
Our commitment to customer success inspires us to think smarter and dream bigger, empowering airlines to achieve more than they ever imagined through intelligent offer and revenue optimization.
At PROS, we foster a culture of care, where people feel supported to grow, innovate, and bring their best selves to work—every day. From flexible ways of working to continuous learning, we empower our teams to thrive both personally and professionally.
Join PROS, a dedicated travel technology company with nearly 40 years of proven airline expertise and a long runway for future growth, now powering the future of AI-driven airline retailing. If you want to be part of something exceptional, help us shape how airlines compete, innovate, and win.
PROS Core Values
We look for every opportunity to create a better PROS and a better experience for our customers – and we hold ourselves accountable.
We think creatively to find new paths to success – for our people, our customers and our business.
We are centered on caring for the people, businesses, and communities we serve.
