| Company |
Priceline |
| Job title |
Senior Manager, Machine Learning |
| Job location |
Dallas, Texas, US |
| Type |
Full Time |
Responsibilities:
- Leadership & Management:
- Lead, mentor, and develop a team of machine learning engineers and data scientists.
- Foster a collaborative and high-performance culture within the team.
- Provide technical guidance and support to team members.
- Strategic Planning:
- Identify opportunities to apply machine learning to solve business problems and drive innovation.
- Project Management:
- Oversee the end-to-end lifecycle of machine learning projects, from ideation to deployment and monitoring.
- Ensure projects are delivered on time, within scope, and within budget.
- Manage project risks and communicate progress to stakeholders.
- Technical Expertise:
- Design, develop, and deploy machine learning models and algorithms.
- Stay current with the latest advancements in machine learning and incorporate relevant techniques into the team’s work.
- Ensure the scalability, reliability, and performance of machine learning systems.
- Collaboration & Communication:
- Work closely with product managers, engineers, and other stakeholders to integrate machine learning solutions into products.
- Communicate complex machine learning concepts and results to non-technical stakeholders.
- Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions.
Requirements & Skills:
- Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
- 8+ years of experience in machine learning, data science, or a related field.
- Proven track record of leading and managing high-performing teams.
- Extensive experience in developing and deploying machine learning models in a production environment and data pipelines.
- Proficiency in Python
- Strong understanding of machine learning algorithms, statistical methods, data preprocessing techniques, and experiment design.
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and big data technologies (e.g., Spark).
- Excellent communication and interpersonal skills.
- Strong problem-solving and analytical abilities.
- Ability to work effectively in a fast-paced, collaborative environment.
- Strategic thinker with a passion for innovation and continuous learning.
- Illustrated history of living the Priceline values: Customer focus, Innovation, Team-orientation, Accountability, and Trust.
- Experience with Pricing Modeling and/or Experience in the Hotel or B2B space is preferred but not required.
