Senior Research Scientist
TLDR
Drive innovation in statistical and machine learning models for pricing, forecasting, and revenue optimization within PROS' SaaS, collaborating with cross-functional teams.
Senior Research Scientist- Houston, TX (Hybrid/On-site) role only
Reporting to the Senior Manager of AI Research, the Senior Scientist drives innovation and advances the development of statistical and machine learning models for PROS’ SaaS solutions. This role is pivotal in the discovery, experimentation, application, and enhancement of cutting-edge AI models. The Senior Scientist will collaborate closely with high-performing, cross-functional teams in AI Research, Engineering, and Product Management.
The Company - PROS:
PROS Holdings, Inc. (NYSE: PRO) provides AI-powered solutions that optimize selling in the digital economy. PROS solutions make it possible for companies to price, configure and sell their products and services in an omnichannel environment with speed, precision and consistency. Our customers, who are leaders in their markets, benefit from decades of data science expertise infused into our industry solutions.
A Day in the Life of the Senior Research Scientist - About the role:
We are seeking a highly motivated and skilled Senior Scientist to join our Research Science team in Houston, TX. This role is ideal for a candidate with a strong foundation in Statistics and hands-on experience in pricing, revenue management, or time series forecasting. Expertise in areas such as causal inference, dynamic modeling, or statistical deep learning is highly valued. You will contribute to the development of predictive models and analytical tools that drive strategic decision-making for our clients.
Key Responsibilities
- Conduct rigorous research, testing and data analysis for creation and enhancement of statistical and machine learning models for pricing, forecasting, and revenue optimization.
- Collaborate with cross-functional teams to translate business challenges into scalable data science solutions.
- Investigate and implement methods to improve model accuracy and interpretability.
- Communicate findings and recommendations to both technical and non-technical stakeholders.
- Stay current with academic and industry research; present and preferably publish research findings in reputable conference and journals in relevant fields.
Required Qualifications - About you:
- Minimum of 3 years of experience in pricing, revenue management, or time series forecasting.
- Proficiency in Python, with experience using TensorFlow and Databricks.
- Strong understanding of statistical modeling, machine learning, and data analysis techniques.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities.
Highly Preferred:
- AI Literacy: Demonstrates a solid understanding of core AI concepts, terminology, and practical applications. Effectively leverages AI tools to enhance productivity, insights, and decision-making, while adhering to ethical standards and best practices.
- Prompt Engineering: Skilled at crafting clear, structured, and effective prompts to optimize the quality, relevance, and utility of AI-generated outputs.
- Agentic AI: Understands the role of autonomous agents in streamlining workflows and automating end-to-end tasks. Able to build, utilize, or manage agentic AI systems and integrate them into business processes.
- PhD in Statistics or related field.
- Expertise in causal inference, dynamic models and/or statistical deep learning.
- Experience in enterprise software or B2B environments.
- Familiarity with cloud computing platforms (e.g., AWS, Azure).
- Experience with version control systems and collaborative development tools.
Skills & Competencies- We value candidates who:
- Use AI tools to enhance efficiency and creativity, applying them to automate tasks, generate insights, or improve day-to-day decision-making.
- Stay curious and open to new technologies, regularly exploring AI-driven solutions to elevate team performance and customer impact.
- Demonstrate a growth mindset, experimenting with AI capabilities—from content generation to predictive analytics—to fuel continuous innovation in their role.
PROS Core Values
- Ownership
- Innovation
- Care
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 are Owners
We look for every opportunity to create a better PROS and a better experience for our customers – and we hold ourselves accountable.
We are Innovators
We think creatively to find new paths to success – for our people, our customers and our business.
We Care
We are centered on caring for the people, businesses, and communities we serve.
Benefits
Flexible Work Hours
flexible ways of working
Learning Budget
continuous learning
PROS, Inc. is a leader in offer management for the airline industry, providing airlines with AI-powered solutions to enhance retail experiences, maximize revenue, and improve margin growth. Our platform enables commercial teams to effectively align capacity with demand and strategize pricing and merchandising for optimal offers in real time.