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.
