Join the Future of Travel and Hospitality: Shape the Search and Personalization Experience at Airbnb
At Airbnb, we're on a mission to create a world where anyone can belong anywhere. As we continue to grow and innovate, our search and personalization strategies play a critical role in enhancing the guest and host experience. We're looking for a passionate and talented Data Science Technical Lead Manager to join our team and drive the future of search and personalization. If you're a strategic thinker with a passion for innovation and problem-solving, we encourage you to apply for this exciting opportunity.
The Community You'll Join
Airbnb is a global community that connects travelers with unique and local experiences. As a Data Science Technical Lead Manager in the Search and Personalization space, you'll be part of a team that's dedicated to making travel more accessible, enjoyable, and personalized. You'll work closely with cross-functional teams, including product, engineering, and design, to develop and refine Airbnb's search and personalization strategy.
The Difference You'll Make
As a Data Science Technical Lead Manager, you'll have a unique opportunity to shape Airbnb's search and personalization strategy. You'll serve as the active point of contact between the relevance team and the product organization, ensuring that our models and algorithms are both high-quality and aligned with our product vision. Your role will involve:
- Leading and mentoring a team of talented data scientists, guiding them through modeling and inference tasks.
- Developing and refining Airbnb's search and personalization strategy in collaboration with cross-functional teams.
- Ensuring the quality and effectiveness of specialized models powering our recommendation platform.
- Acting as the liaison between the relevance team and the product organization, facilitating effective communication and collaboration.
- Understanding and evaluating the implications of model changes on the user experience, ensuring optimal outcomes.
- Partnering with product and relevance teams to align on goals and deliverables.
- Driving the development of innovative personalization strategies to enhance user engagement and satisfaction.
Your Expertise
To succeed in this role, you'll need:
- An advanced degree (PhD or Master's) in Computer Science, Data Science, Statistics, or a related field.
- 7+ years of relevant industry experience, with a focus on search and personalization.
- Proven experience in a technical leadership role within data science, particularly in the relevance ranking space.
- Strong technical skills with the ability to dive into the details of modeling and inference tasks.
- Experience managing and mentoring a team of individual contributors (ICs).
- A deep understanding of machine learning, recommendation systems, and data-driven product development.
- Excellent communication and collaboration skills, with the ability to work effectively across teams and stakeholders.
- A strategic thinker with a passion for innovation and problem-solving.
Essential and Preferred Qualifications
We're looking for candidates who possess a strong technical background, excellent leadership skills, and a passion for innovation. While prior experience in search and personalization is preferred, we're open to candidates who have a strong foundation in data science and machine learning. If you're a motivated and talented individual who's eager to learn and grow, we'd love to hear from you.
Skills and Competencies
To succeed in this role, you'll need to possess a range of skills and competencies, including:
- Technical skills: Proficiency in programming languages such as Python, Java, or C++. Experience with machine learning frameworks and tools such as TensorFlow, PyTorch, or Scikit-learn.
- Leadership skills: Proven experience in leading and mentoring a team of data scientists. Ability to communicate technical concepts to non-technical stakeholders.
- Collaboration skills: Ability to work effectively across teams and stakeholders, including product, engineering, and design.
- Strategic thinking: Ability to think strategically and develop innovative solutions to complex problems.
Career Growth Opportunities and Learning Benefits
At Airbnb, we're committed to helping our employees grow and develop their skills. As a Data Science Technical Lead Manager, you'll have opportunities to:
- Develop your technical skills through training and mentorship programs.
- Take on new challenges and responsibilities, including leading high-impact projects.
- Collaborate with cross-functional teams to drive innovation and growth.
- Participate in industry conferences and events to stay up-to-date with the latest trends and technologies.
Work Environment and Company Culture
Airbnb is a remote-eligible company, which means you'll have the flexibility to work from anywhere. We're committed to creating a culture that's inclusive, diverse, and supportive. Our employees enjoy a range of benefits, including:
- A competitive salary and benefits package.
- Opportunities for career growth and development.
- A flexible and remote work environment.
- A culture that's inclusive and supportive.
Compensation, Perks, and Benefits
We're committed to offering a competitive compensation package that reflects your skills and experience. Our benefits include:
- A comprehensive health insurance plan.
- A 401(k) plan with company match.
- Flexible paid time off and holidays.
- Access to a range of employee perks, including travel credits and Airbnb credits.
Conclusion
If you're a passionate and talented Data Science Technical Lead Manager who's looking to make a difference in the world, we encourage you to apply for this exciting opportunity. At Airbnb, we're committed to creating a culture that's inclusive, diverse, and supportive. We look forward to hearing from you!
No experience needed! We offer full training for our new Data Science TLM Manager - Search And Personalization! We are looking for great people to join our friendly team, even if you feel you're not a perfect match.
We strive to provide a disability-inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected].
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