Note: The job is a remote job and is open to candidates in USA. Brooksource is seeking a Lead Data Scientist to support strategic pricing and revenue optimization initiatives within the onboard revenue organization. This role combines machine learning, operations research, and optimization techniques to drive pricing decisions and maximize revenue outcomes.
Responsibilities
- Develop machine learning models to support pricing and revenue management initiatives
- Apply optimization and operations research methodologies to business challenges
- Build prescriptive analytics solutions that translate model outputs into actionable recommendations
- Design and implement mathematical optimization frameworks for pricing strategies
- Partner with business stakeholders to solve complex revenue optimization problems
- Work with large-scale datasets using distributed computing technologies
- Lead analytical initiatives from discovery through deployment with minimal oversight
- Deliver measurable business impact through data-driven decision making
Skills
- 7+ years of Data Science experience
- Strong proficiency in Python
- Experience developing and deploying machine learning models
- Experience working with Big Data technologies and large datasets
- Hands-on experience with PySpark
- Proven experience with pricing, revenue optimization, or prescriptive analytics projects
- Strong problem-solving skills with the ability to independently lead complex initiatives
- Experience translating analytical findings into business recommendations
- Background in Operations Research, Optimization, or Decision Science
- Experience with optimization techniques such as:
- Mathematical Optimization
- Dynamic Programming
- Prescriptive Modeling
- Experience with optimization libraries such as:
- SciPy
- GEKKO
- Similar optimization frameworks
- Industry experience in:
- Airlines
- Hospitality
- Hotels
- Travel
- Revenue Management organization
- Experience delivering measurable revenue impact through pricing and optimization solutions
- Advanced degree in Data Science, Statistics, Operations Research, Mathematics, Engineering, or a related field
Benefits
- Competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs
- 401k plan that includes a company match and is fully vested after you become eligible
- Paid time off
- Sick time
- Paid company holidays
- Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Company Overview
Company H1B Sponsorship