Data Scientist – Pricing & Revenue Optimization
Location: On Site - Miami
Type: Full-Time
Are you a data-driven problem solver with a passion for turning complex data into actionable insights? We're looking for a Data Scientist to join a high-impact team focused on advancing pricing strategies and revenue optimization through machine learning and statistical modeling.
What You’ll Be Doing
- Develop and deploy predictive models to enhance pricing strategies, demand forecasting, and inventory optimization.
- Work with large, rich datasets involving customer behavior, bookings, promotions, and competitive pricing.
- Collaborate with cross-functional teams in analytics, revenue management, and finance to define modeling goals and implement real-world solutions.
- Apply principles of economics, pricing science, and segmentation to drive more precise and profitable decisions.
- Build simulation tools and pricing engines for real-time or batch decision-making.
- Partner with data engineering teams to ensure data pipelines are model-ready and efficient.
- Communicate findings and recommendations through executive-level summaries and data visualizations.
- Stay ahead of trends in machine learning, MLOps, and revenue optimization.
What We’re Looking For
- Bachelor’s degree in Data Science, Statistics, Economics, Applied Math, Computer Science, or a related field.
- 2+ years of experience in data science or quantitative roles, preferably in pricing, forecasting, or revenue optimization.
- Strong proficiency in Python, R, and SQL.
- Hands-on experience working with large datasets and data wrangling techniques.
- Familiarity with time series forecasting, elasticity modeling, segmentation, and dynamic pricing concepts.
- Exposure to MLOps tools, simulation frameworks, or cloud environments like AWS is a plus.
- Excellent communication skills with the ability to present complex ideas to technical and non-technical audiences.
Why Join Us?
This is your chance to play a pivotal role in shaping strategic pricing decisions with cutting-edge analytics. If you're excited about data science with real business impact and enjoy working in collaborative, high-performance environments—we want to hear from you.
