If you are a Data Scientist with exceptional talents and want to be part of a fun and highly collaborative team that creates best-in-class pricing solutions for the world’s most innovative clients, consider joining Prorize. The primary focus of the position is to understand client requirements and analyze, innovate, design, automate, document, and maintain the best-in-class pricing solutions for our clients. The ideal candidate will be excited about using modern data science technology and best practices to solve business problems and will enjoy working in an agile environment.

Responsibilities

• Process and analyze large datasets and establish hypotheses for solving high-value business problems.
• Frame data within a relevant business context to develop repeatable models and glean actionable insights
• Test hypotheses by combining data observations and developing innovative mathematical and statistical pricing models. Testing will include prototyping, analyzing, and validating the implementation of the models using statistical and optimization software tools
• Perform validation and testing of models to ensure adequacy and reformulate models as necessary
• Have a deep understanding of Prorize’s proprietary solution suite; be able to read and debug the codes and scripts both in the production environment and for the purpose of prototyping new modules
• Communicate the results of analyses in a concise and clear language with internal colleagues and external clients
• Assist in the creation of new capabilities for our revenue optimization platform in collaboration with our product managers and engineers
• Keep up to speed with data science trends and news so that you can incorporate new methodologies and approaches as appropriate.

Qualifications

• Bachelor’s or higher degree (Master’s or PhD preferred) in industrial engineering, econometrics, statistics, applied mathematics, data science, or related fields
• Must have experience solving business problems using statistics, machine learning, or optimization; and using SQL, C#, Python, R , or other analytical tools
• Excellent communications and interpersonal skills in English
• Passionate and enthusiastic over work; has a can-do attitude
• Driven to achieve with minimal supervision in a very dynamic and timeline-sensitive work environment