Senior Data Scientist

Overview

JOB SUMMARY: The Senior Data Scientist will play a lead role in the development, implementation, and scaling of advanced pricing models that directly influence revenue, yield, and customer value. This position requires deep technical expertise, strong business acumen, and the ability to mentor junior team members while partnering cross-functionally with stakeholders across analytics, finance, revenue management, and technology.

• Lead the design, development, and deployment of advanced machine learning and statistical models to support dynamic pricing, demand forecasting, inventory control, and revenue optimization.
• Own the full model lifecycle from problem definition through data engineering, model development, validation, deployment, and monitoring.
• Architect and maintain the structure of the data science environment.
• Translate complex business challenges into data science solutions and guide modeling decisions in collaboration with senior leadership.
• Perform in-depth analysis of pricing behavior, customer segmentation, price elasticity, and promotional impacts using structured and unstructured data.
• Drive the development of pricing engines and simulation tools that integrate seamlessly into revenue management workflows.
• Collaborate with engineering and platform teams to product ionize models, including batch, real-time API, or SQL UDF-based deployments.
• Build and manage end-to-end workflows: from data prep to scoring to output delivery - including orchestration tools.
• Mentor and guide junior data scientists; conduct peer reviews and provide feedback on model design and implementation.
• Implement model version control, reproducibility, and collaboration practices using Git, notebooks, and other team standards.
• Communicate model insights, tradeoffs, and recommendations to both technical and non-technical audiences.
• Evaluate new tools, methodologies, and data sources to continuously improve our pricing intelligence capabilities.
• Perform other job related duties as assigned.

DEGREE TYPE: Bachelor's Degree

FIELD(S) OF STUDY: Data Science, Statistics, Economics, Operations Research, Computer Science, Applied Mathematics, or related field.

EXPERIENCE:

• Minimum 5 years of hands-on experience in data science or advanced analytics roles, with a proven track record of applying models in pricing, forecasting, or optimization domains.

COMPETENCIES/

SKILLS:

• Advanced skills in Python (preferred), R, SQL, and notebook-based development workflows.
• Advanced-level SQL skills; experience working with enterprise data warehouses (e.g., Snowflake, Oracle).
• Experience with Git Hub and collaborative code development practices.
• Understanding of deployment strategies: batch, streaming/API, Snowflake UDFs, and how to choose the right approach.
• Familiarity with CI/CD pipelines for model promotion and environment control (e.g., Git Hub Actions, Sage Maker Pipelines, etc.).
• Demonstrated ability to build and scale models in cloud environments (e.g., AWS, GCP).
• Experience with revenue management or yield optimization systems is highly desirable.
• Deep understanding of predictive modeling, time series forecasting, causal inference, and price elasticity modeling.
• Knowledge of pricing strategy concepts including dynamic pricing, demand curves, segmentation, inventory control, and capacity management.
• Familiarity with optimization algorithms and simulation methods.
• Ability to translate technical modeling work into actionable business insights and explain tradeoffs to non-technical stakeholders.
• Excellent problem-solving and leadership skills; demonstrated leadership in shaping data science environments and infrastructure.

EEO/Notice: To Executive Search Firms & Staffing Agencies: NCLH does not accept unsolicited resumes from any agencies. All unsolicited resumes will be considered NCLH property, and NCLH will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting the NCLH Human Resources Talent Acquisition Department.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: Travel Arrangements