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We’re seeking an intellectually curious and collaborative Senior Data Scientist to join our team in Woodland Hills. This is a unique opportunity to be the first and sole internal data scientist, helping to build a center of excellence in machine learning as we transition from working with Bain & Co. to bringing everything in-house by January 2025.
Job Responsibility:
Lead the development of pricing and demand forecasting models for the Travel, Hospitality, or Ecommerce industries
Work closely with business stakeholders to identify data-driven opportunities and make actionable recommendations
Collaborate with Bain & Co. consultants through year-end, ensuring a smooth knowledge transfer and establishing best practices for future data science initiatives
Design, develop, and deploy machine learning models using Python and modern data science frameworks
Work with large-scale data processing tools (e.g., Spark, Hadoop, Databricks) and cloud platforms (Azure preferred
AWS experience acceptable if willing to learn Azure)
Play a key role in establishing a data-driven culture and building internal expertise around advanced analytics and ML
Requirements:
5+ years of experience in data science (flexible for candidates with strong academic backgrounds)
Hands-on pricing and demand forecasting experience in the Travel, Hospitality, or Ecommerce industries
Master’s or PhD in Computer Science, Computer Engineering, Economics, or Mathematics strongly preferred
Proficiency in Python with a focus on machine learning and predictive modeling
Intellectual curiosity and ability to translate data insights into impactful business recommendations
Nice to have:
Familiarity with Spark, Hadoop, Databricks, and the Azure platform (AWS experience okay if willing to learn Azure)
What we offer:
Be the first and sole internal senior data scientist, with a chance to shape and influence data science practices as we build our internal capability
Competitive base salary
A collaborative environment
Exciting projects with real-world impact on pricing and demand forecasting in dynamic industries
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