Senior Manager, Machine Learning Science

Company: ENGINEERINGUK
Location: Seattle
Posted on: November 13, 2024

Job Description:

Employer: Expedia Group
Location: Seattle, Washington, United States
Salary: USD 173,000.00 - 242,500.00; USD 277,000.00
Closing date: 26 Nov 2024
Senior Manager, Machine Learning Science
Travel is a force for good. At Expedia Group, it's our mission to power global travel for everyone, everywhere, because we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 70+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the world's largest travel platforms.
As a Senior Manager of Machine Learning Science, you will manage a team and collaborate with a strong team of engineers, product managers, operations, and analytics. You will be deeply involved in the technical details of building machine learning and data science solutions to optimize business performance. You will also contribute to an area of active research: causal inference using machine learning methods, stochastic optimization, ML-based demand estimation, experiment design, and analysis.
What you will do:

• Manage a team of Machine Learning Scientists to deliver scalable and robust machine learning and data science solutions to pricing and monetization.
  
• Architect solutions, review models, and provide necessary technical guidance.
  
• Dissect business problems into digestible solutions.
  
• Follow company strategic directions and align with stakeholders on goals and roadmaps.
  
• Set the team vision, design roadmap, and manage the execution to deliver outstanding results.
  
• Hire, mentor, and grow the team.
  
• Collaborate with other machine learning, data science, and data engineering teams to build a great data culture in EG.
  
  Who you are:
  
  
• 7+ years industry experience and an advanced degree in a quantitative field, such as Computer Science, Statistics, Operations Research, Economics, or equivalent quantitative fields.
  
• 4+ years of management experience in developing machine learning models at scale from inception to business impact.
  
• Demonstrated ability to create and drive technical and impactful roadmaps for the business and lead seamless execution of it.
  
• Passion for management and creating opportunities for career growth for team members.
  
• Ability to communicate clearly and effectively to cross-functional partners of varying technical levels.
  
• Understanding of modern machine learning and data science techniques and their mathematical underpinning.
  
• Proficiency in one of the tools such as Python, R, Scala, etc.
  
• Experience with big data ecosystem (Hadoop/Spark).
  
• Experience in pricing is a plus.
  
• Experience with large scale marketplace experiment design and analysis is a plus.
  
  The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
  Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.
  Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections.
  Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Keywords: ENGINEERINGUK, Redmond , Senior Manager, Machine Learning Science, Executive , Seattle, Washington