Data Scientist - Algorithms, Community Support
Airbnb · United States
- Hybrid
- Full-time
- $163,000 / year
- United States
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Job highlights
- Work on AI-powered products and services.
- Develop and deploy production LLM/ML models.
- Collaborate with cross-functional teams.
- Shape AI strategies and operational optimizations.
- Analyze data to drive business decisions.
About the role
About Airbnb
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Community You Will Join
Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. Our Community Support (CS) team is at the heart of that mission—delivering seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey.As a Data Scientist working on Algorithms in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests & hosts using advanced LLM/ML modeling for Community Support.
The Difference You Will Make
We're looking for a talented Data Scientist with LLM/ML expertise to join the Community Support Data Science team. In this role, you'll partner closely with the tech lead to tackle significant components of high-impact projects with a direct opportunity to shape and influence our AI-powered products, differentiated service experiences, and operational optimization strategies.The Ideal Candidate Combines Deep Technical Fluency In LLM/ML With a Bias Toward Action And Impact, Comfort With Ambiguity, And a Passion For Building Scalable, Scientific Solutions. You’ll Work On High-impact Projects Like:
- Implement advanced techniques to automate the LLM evaluation process with high efficiency and quality.
- Scale the high-quality synthetic datasets curation across various CS domains for training and evaluating LLM.
- Build LLM/ML models to understand customer issues based on diverse datasets and identify failure modes and opportunities for improvement.
- Build personalization models to offer differentiated experiences and maximize business impact.
A Typical Day
Discover Opportunities: Identify high-impact business opportunities through data exploration and model prototyping, and translate business problems into scientific formulations.Uncover Insights: Analyze structured and unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy.
Build and Ship: Build and deploy production LLM/ML models that directly contribute to the launch of data-driven products, leveraging AI tools to enhance efficiency and impact.
Collaborate Cross-Functionally: Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.
Influence Decisions: Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making.
Empowerment: Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes.
Your Expertise
- 2+ years of relevant industry experience (e.g. data/ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields.
- State-of-the-art knowledge of AI/ML models.
- Strong fluency in Python/R and SQL, observation causal inference skill is a plus.
- Proven ability to communicate clearly and effectively to audiences of varying technical levels.
- Ability to translate complex findings and results into compelling narratives that drive impact.
- Excellent project management, communication, and collaboration skills.
- A product-oriented mindset, with the ability to apply conceptual and innovative thinking to develop and implement solutions that consider the user experience.
Your Location
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & Belonging
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.We strive to also 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: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care Of You
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.Pay Range
$151,000—$175,000 USDKey skills/competency
- Data Science
- Machine Learning
- LLM
- Python
- SQL
- Causal Inference
- Communication
- Project Management
- Product Mindset
- Algorithmic Modeling
Skills & topics
- Data Scientist
- Machine Learning
- AI
- LLM
- Python
- SQL
- Community Support
- Algorithms
- Data Analysis
- Personalization
How to get hired
- Tailor your resume: Highlight your LLM/ML expertise, Python/R, SQL, and causal inference skills relevant to Airbnb's Data Scientist role.
- Showcase impact: Quantify achievements on projects related to AI-powered products, customer experience, and operational efficiency.
- Demonstrate product thinking: Emphasize your ability to translate business problems into scientific solutions and consider user experience.
- Prepare for technical interviews: Brush up on LLM/ML concepts, data analysis, and problem-solving scenarios specific to community support.
- Research Airbnb's culture: Understand their mission, values, and commitment to belonging to align your answers.
Technical preparation
Practice LLM and ML algorithm implementation.,Solve SQL and Python coding challenges.,Review causal inference concepts and applications.,Prepare to discuss model deployment strategies.
Behavioral questions
Describe a time you handled ambiguity.,How do you translate business problems to data?,Share an example of cross-functional collaboration.,How do you communicate complex findings effectively?
Frequently asked questions
- What is the typical career path for a Data Scientist at Airbnb?
- At Airbnb, a Data Scientist on the Community Support team can expect opportunities to grow technically by deepening expertise in LLM/ML, contributing to high-impact projects, and influencing AI strategies. Career progression may lead to senior individual contributor roles, technical leadership, or management positions within data science or related fields, depending on performance and business needs.
- How does Airbnb use AI and ML in its Community Support?
- Airbnb leverages AI and ML extensively within its Community Support to personalize experiences for hosts and guests, automate processes, and improve efficiency. This includes building LLM/ML models to understand customer issues, curate datasets for training AI, evaluate LLM performance, and develop personalization models for differentiated service.
- What are the key technical skills required for this Data Scientist role at Airbnb?
- The key technical skills for this Data Scientist role at Airbnb include state-of-the-art knowledge of AI/ML models, strong fluency in Python/R and SQL. Experience with causal inference is a plus. The ability to build and deploy production LLM/ML models is also crucial.
- How does Airbnb ensure fairness and personalization in its AI-powered Community Support?
- Airbnb aims to ensure fairness and personalization through rigorous evaluation of LLM performance, scaling high-quality synthetic dataset curation, and building models that understand diverse customer issues. Personalization models are developed to offer differentiated experiences, maximizing business impact while considering user experience and ethical implications.
- What is the remote work policy for the Data Scientist position at Airbnb?
- This Data Scientist position is US Remote Eligible, meaning you can work from home within the United States. However, you must reside in a state where Airbnb, Inc. has a registered entity. Occasional work at an Airbnb office or attendance at offsites may be required as agreed with your manager.
- What kind of projects can I expect as a Data Scientist at Airbnb Community Support?
- As a Data Scientist at Airbnb Community Support, you can expect to work on high-impact projects such as automating LLM evaluation, curating synthetic datasets for LLM training, building models to understand customer issues and identify failure modes, and developing personalization models for differentiated guest and host experiences.