PROS is looking to advance the development of statistical and machine learning models for their SaaS solutions to optimize selling in the digital economy, enabling companies to price, configure, and sell their products and services with speed, precision, and consistency.
Requirements
- 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.
- AI Literacy: Demonstrates a solid understanding of core AI concepts, terminology, and practical applications.
- 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.
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.
Other
- Strong communication and collaboration abilities.
- PhD in Statistics or related field.
- 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.
