1

Airbnb Data Science Jobs (NOW HIRING)

Sr. Client Success Manager

New York, NY · On-site

$120 - $150K/hr

Swayable is a fast-growing AI and automated data science platform that measures public opinion and ... Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures ...

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

Neighbor has attracted world-class investors such as Andreessen-Horowitz and the creators of Airbnb ... Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ...

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

Neighbor has attracted world-class investors such as Andreessen-Horowitz and the creators of Airbnb ... Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ...

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

Neighbor has attracted world-class investors such as Andreessen-Horowitz and the creators of Airbnb ... Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ...

Customer Analyst

New York, NY · On-site

$100K - $135K/yr

Uber, Airbnb, Google, Amazon), business schools (e.g. HBS, GSB, Wharton), and professional services ... You will transform raw data into well-structured, reliable datasets that analysts, data scientists ...

Uber, Airbnb, Google, Amazon), business schools (e.g. HBS, GSB, Wharton), and professional services ... You will transform raw data into well-structured, reliable datasets that analysts, data scientists ...

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

... AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ... You'll work side by side with engineers, product, and Life science experts to ensure that ...

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

... AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ... You'll work side by side with engineers, product, and Life science experts to ensure that ...

AI Research Scientist

San Francisco, CA · On-site

$150K - $350K/yr

... AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ... You'll work side by side with engineers, product, and Life science experts to ensure that ...

next page

Showing results 1-20

Airbnb Data Science information

See salary details

$46K

$165K

$243.5K

How much do airbnb data science jobs pay per year?

As of Jun 16, 2026, the average yearly pay for airbnb data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

How much do data scientists make at Airbnb?

Data scientists at Airbnb typically earn an average salary ranging from $100,000 to $150,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring proficiency in statistical analysis, machine learning, and data visualization tools.

What is the difference between Airbnb Data Science vs Airbnb Data Analyst?

AspectAirbnb Data ScienceAirbnb Data Analyst
Required CredentialsTypically requires a degree in Data Science, Statistics, or related fields; often advanced degreesUsually requires a degree in Business, Economics, or related fields; often bachelor's or master's
Work EnvironmentFocuses on building predictive models, machine learning, and advanced analyticsFocuses on interpreting data, reporting, and supporting decision-making
Employer & Industry UsageUsed in product development, personalization, and complex analytics within AirbnbUsed for reporting, dashboards, and operational insights within Airbnb

Airbnb Data Science roles involve developing advanced models and algorithms to improve platform features, while Airbnb Data Analysts focus on analyzing data to generate reports and support business decisions. Both roles require strong analytical skills but differ in technical depth and focus areas.

What does an Airbnb Data Scientist do?

An Airbnb Data Scientist analyzes large datasets to uncover insights that inform business decisions and improve the Airbnb platform. Their responsibilities include developing predictive models, designing experiments (A/B tests), and collaborating with product and engineering teams to enhance user experience, pricing, search algorithms, and fraud detection. They use statistical analysis, machine learning, and data visualization tools to solve complex problems and drive growth. Data Scientists at Airbnb play a key role in shaping product strategy and optimizing marketplace performance.

Is 30 too late for data science?

Airbnb Data Science roles, like many data science positions, do not have strict age limits. Success depends on skills, experience, and continuous learning, such as proficiency in programming, statistics, and tools like Python or SQL. Age should not be a barrier if you demonstrate relevant expertise and adaptability.

What are some common challenges faced by Data Scientists at Airbnb and how can applicants prepare to address them?

Data Scientists at Airbnb often work with large, complex datasets and are expected to draw actionable insights that impact both product and business decisions. One common challenge is balancing rigorous statistical analysis with the fast-paced demands of a product-focused environment. Additionally, collaborating across teams—such as engineering, product management, and operations—requires strong communication skills to translate data findings into clear recommendations. Applicants can prepare by honing their technical skills, practicing storytelling with data, and gaining experience working on cross-functional teams.

What is the salary of data analyst in Airbnb?

The salary of a data analyst at Airbnb typically ranges from $70,000 to $100,000 annually, depending on experience, location, and skill set. Entry-level roles may start lower, while experienced analysts with advanced skills in SQL, Python, or data visualization tools can earn higher compensation.

What are the key skills and qualifications needed to thrive as an Airbnb Data Scientist, and why are they important?

To thrive as an Airbnb Data Scientist, you need a strong background in statistics, data analysis, machine learning, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with big data tools (such as SQL, Spark, and Hadoop), A/B testing platforms, and data visualization systems is highly valuable. Strong problem-solving abilities, business acumen, and effective communication skills help you translate complex data insights into actionable recommendations. These skills are crucial for driving data-informed decisions that enhance Airbnb’s products, user experience, and business growth.

Is it difficult to get hired at Airbnb?

Getting hired for an Airbnb Data Science role can be competitive, as it requires strong analytical skills, experience with data analysis tools like SQL and Python, and a solid understanding of machine learning. Candidates often go through multiple interview rounds, including technical assessments and behavioral interviews, to demonstrate their qualifications.
More about Airbnb Data Science jobs
What cities are hiring for Airbnb Data Science jobs? Cities with the most Airbnb Data Science job openings:
Infographic showing various Airbnb Data Science job openings in the United States as of June 2026, with employment types broken down into 7% As Needed, 86% Part Time, and 7% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Sr. Client Success Manager

Swayable

New York, NY • On-site

$120 - $150K/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e.g. on climate, human rights and elections).
Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world's most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands
About The Role:
Swayable is looking for a high-performing, fast-learning, and energetic Sr. Client Success Manager to support our enterprise clients, lead the development of strategic pre-testing programs for major accounts, and drive upsell and expansion together with our sales team. As a strategic advisor to our largest clients, you will enhance their brand narratives through rigorous testing and data. In this role, you will advise our clients as they adopt Swayable's innovative tools to support their mission.
What You'll Do:
  • Build strong relationships with our enterprise clients, including in person
  • Lead the development of strategic pre-testing programs for major accounts
  • Advise clients on designing and interpreting content tests
  • Identify and develop ways to support your clients by bringing the best of Swayable's products and pushing our product development as needed
  • Help win pitches by demonstrating how to solve the client's problems with your brand background and Swayable's platform
  • Ensure client satisfaction, added value, continued usage
  • Collaborate closely with the sales team on renewals, upsells, and expansion opportunities within your client portfolio

Who You Are:
  • 5+ years of experience in client-facing roles, ideally at a creative agency/consultancy or market research firm
  • Ability to think like and speak the language of brands and customer insights teams
  • Significant experience developing and winning pitches and leading complex projects at enterprise clients
  • College degree or higher (STEM, communications, statistics, business, public policy fields can be helpful)
  • Ability to bring a consultant mindset to your client interactions, with critical thinking, problem-solving and ongoing support
  • An analytic mindset with the ability to synthesize data (Excel required, Python a plus)
  • Excellent attention to detail and quantitative reasoning skills
  • Excellent project management: able to self-manage and prioritize
  • Solid understanding of statistics and/or a willingness to learn (for example, explaining what an 80% confidence interval means)

What You'll Gain:
  • Problem-solving and relationship-building with leading clients, many of which are major consumer-facing brands and technology companies (Amazon, Meta, Square, Paramount Pictures)
  • (Client) Leadership skills
  • Development and project management of cutting-edge programs as part of digital marketing transformation
  • Exposure to cutting edge technology and research methodology through the Swayable Platform
  • Insight into content creation and messaging techniques that influence modern day marketing
  • Experience working collaboratively in a small-team start-up environment, partnering with data science, product, and sales
  • Comfort with advanced data analytics, synthesis, and storytelling

Team:
You will be joining the Client and Research Success Team at Swayable, which leads the client relationships for the business. This includes large consumer facing brands (Amazon), as well as technology brands (Meta), and creative agencies (OMD Group). We are the primary interface between our clients and the product. We have a strong team culture with an emphasis on professional development. We have routine check-ins, regular two-way feedback and goal setting, and monthly retrospectives. Our team operates as a support network, where we regularly step in to help each other out.
Location:
The client success team is based in New York and San Francisco.
Benefits:
  • 100% Medical, Dental & Vision Plans
  • Starting base salary range of $120-$150K depending on previous experience, not including a variable comp component
  • Generous PTO
  • Equity options
  • 401k, FSA
  • Ongoing professional development stipend

We are an equal opportunity employer. We strive to promote an organizational environment that values diversity and fosters growth. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other basis prohibited by law. The team especially encourages applicants from underrepresented backgrounds.