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À propos
Build and maintain forecasting models using time series, regression, and machine learning for contact forecasting and budgeting Partner with stakeholders to frame planning problems, develop metrics, and support decision-making processes Surface productivity improvements through analysis of budget and financial performance data
Required qualifications
Bachelor's, Master's, or PhD in a quantitative field with 5+ years of relevant experience Strong proficiency in SQL and Python or R, with hands-on experience in cloud-native data platforms Experience using AI/LLM tooling across the analytics workflow, including SQL and Python integration Proven ability to independently structure ambiguous problems and select appropriate analytical approaches Strong experience in developing and validating statistical forecasting models with a focus on performance measurement
Compétences linguistiques
- English
Avis aux utilisateurs
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