Manager - Data Science & Customer Value

Role Overview

Key Responsibilities

• Lead advanced analytics and predictive modeling to identify business opportunities and customer insights.
• Drive AI, machine learning, NLP, and generative AI adoption for customer and operational performance.
• Connect customer experience metrics to commercial and financial outcomes.
• Design experimentation frameworks, including A/B testing, to optimize customer journeys.
• Improve forecasting, workforce planning, productivity, and resource utilization with operational teams.
• Develop executive dashboards and value frameworks for revenue impact, cost savings, and performance.
• Translate data into strategic recommendations and business action for senior leadership.

Qualifications

• Bachelor’s or Master’s degree in Business Analytics, Statistics, Data Science, Applied Mathematics, or Engineering.
• 7–10 years of experience in statistics, data science, advanced analytics, decision science, or customer analytics.
• 1–3 years in the airline, travel, or transportation sector is preferred.
• Experience delivering measurable business outcomes through advanced analytics and data science.
• Experience with large-scale customer and operational datasets.
• Experience supporting senior stakeholders and translating complex insights into business recommendations.

Technical Skills

• Expertise in structured and unstructured data, regression, supervised and unsupervised models, forecasting, hypothesis testing, statistical modeling, experimentation, segmentation, and clustering.
• Expertise in A/B testing, multivariate testing, design of experiments, and evidence-based decision-making.
• Knowledge of predictive analytics, classification and regression, machine learning algorithms, NLP, text analytics, sentiment analytics, model validation, and performance monitoring.
• Proficiency with Python, R, SQL, Power BI, Tableau, Databricks, Azure Machine Learning, and Advanced Excel.

Additional Information