Senior Data Scientist

1 month ago


Los Angeles, United States Robert Half Full time

Senior Data Scientist

Hybrid 3x onsite in Los Angeles, CA

$150K - $175K + benefits


We are seeking a Senior Data Scientist to join our team located in Los Angeles, CA, United States. In this role, you will play a crucial part in the initiation, development, and deployment of advanced data science projects, focusing particularly on pricing and demand forecasting. Your work will span a diverse range of responsibilities, from overseeing the maintenance and enhancement of dynamic pricing models to collaborating with stakeholders to define development roadmaps and project priorities.


Responsibilities:

  • Oversee the maintenance and enhancement of dynamic pricing models.
  • Collaborate closely with data analysts to monitor the performance of data science deliverables.
  • Define and implement best practices throughout the data science project lifecycle.
  • Engage with a diverse range of stakeholders to understand business needs and translate these into actionable data science objectives.
  • Assist in the strategic prioritization of the data science development pipeline.
  • Measure key performance indicators (KPIs) and design A/B testing frameworks to validate model effectiveness.
  • Use Python and machine learning packages to craft and implement effective data science solutions.
  • Utilize big data technologies such as Apache Spark, Apache Hadoop, and Azure Databricks.
  • Solve complex problems independently and collaboratively in a team environment.


Qualifications

  • Must have pricing and demand forecasting experience for Travel, Hospitality, or Ecommerce industries
  • Master’s or PhD in Computer Science, Computer Engineering, Economics, or mathematics strongly preferred
  • Proficiency with Python for statistical analysis and data manipulation
  • Extensive experience in Apache Spark and Apache Hadoop for big data processing and analytics
  • Knowledge of cloud technologies including AWS and Azure for deploying data science solutions
  • Familiarity with Azure ML and Azure Databricks for machine learning model development and deployment
  • Strong understanding and hands-on experience with machine learning algorithms and their implementation
  • Experience with database management and data structures
  • Proficiency in API development for data extraction and automation
  • Strong analytical skills to interpret complex data and convert insights into actionable steps
  • Ability to communicate complex data in a clear and concise manner to stakeholders of varying technical levels
  • Experience in data visualization and reporting tools for presenting data insights effectively
  • A commitment to continuous professional development in the field of data science, machine learning, and related areas.



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