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Metro location, popular junior Data Scientist title, and broad required skills create high applicant competition.
Pricing analytics needs domain knowledge but core data science skills remain reasonably transferable across industries.
Explicit years, degree requirement, and mandatory Python/ML skills enforce moderate filtering of candidates.
Support the Global Pricing team to optimize commercial performance across products, services, and geographies.
Inventory and improve internal data practices to enhance efficiency, accuracy, and flexibility in analytics.
Develop and optimize predictive analytics and machine learning models; mentor team members on advanced data techniques.
Bachelor's degree required; master's preferred in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Finance, Operations Research, or related quantitative field.
1-3 years of experience in Data Science, Analytics, Pricing Analytics, Business Analytics, or related field.
Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn) and experience with SQL, Python, or R for large datasets.
Knowledge of statistical analysis, predictive modeling, machine learning, and data preparation techniques.
Experience in pricing, sales, commercial performance, revenue management, or profitability analytics preferred.
Familiarity with NLP, Generative AI, Deep Learning, or Large Language Models is advantageous.
Ability to translate business challenges into data-driven solutions and communicate findings to diverse stakeholders effectively.