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Airbnb Data Science Jobs (NOW HIRING)

Airbnb

Senior Staff Software Engineer, Trust

$125K - $165K/yr

Partner with technical leaders, product managers, operations, data scientists, and Trust defense ... Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google ... As a Delivery team, this Department uses industry leading data science and change management ...

Airbnb

Senior Machine Learning Engineer, Payments

$107K - $146K/yr

Collaborate with product, engineering, ops, and data science to spot high leverage opportunities ... Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas ...

Airbnb

OR

$122K - $161K/yr

Data represents the voice of Airbnb's users at scale. The Data Warehouse Infrastructure team is ... Your Expertise: * BS/MS/PhD in Computer Science, a related field, or equivalent work experience ...

Airbnb

Senior Software Engineer, Data Infrastructure

$191K - $225K/yr

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... Your Expertise: * BS/MS/PhD in Computer Science, a related field, or equivalent work experience ...

Parafin

Data Scientist

San Francisco, CA · Remote

The Data Science TeamOur Impact Data is core to Parafin's mission to grow small businesses. Our ... Airbnb, Faire, Segment, Facebook, and Google. We value first-principles thinking, attention to ...

Parafin, Inc

Data Scientist

San Francisco, CA · On-site

The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our ... Airbnb, Faire, Segment, Facebook, and Google. We value first-principles thinking, attention to ...

Parafin

Data Scientist, Underwriting

San Francisco, CA · Remote

Our Impact Data science is integral to Parafin's mission. Our platform partnerships and lending ... Airbnb, Faire, Segment, Facebook, and Google. We value first-principles thinking, attention to ...

Airbnb

Senior Staff Machine Learning Engineer, Trust

$107K - $146K/yr

... Airbnb product, business and operational use cases. * Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify ...

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All JobsAirbnb Data Science Jobs

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:
What job categories do people searching Airbnb Data Science jobs look for? The top searched job categories for Airbnb Data Science jobs are:
Airbnb Data Science jobs near you
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.
Engineering Manager, Core Entities & Trip Intelligence

Engineering Manager, Core Entities & Trip Intelligence

Airbnb

Remote

Full-time

Posted 16 days ago

Airbnb rating

5.8

Company rating: 5.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

16th of 21 rated holiday rentals

Job description

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:
Marketplaces Data and AI is Airbnb's data and AI execution org, responsible for the machine learning, data engineering, and analytics systems that power how guests find the right place to stay and how hosts succeed on the platform. We build foundational data products used across Airbnb - by Trust, Customer Support, Search, and every team that needs a reliable, structured view of what is happening on our platform.
The Core Entities program is the cornerstone of that foundation. It is the company's canonical semantic model for the objects that matter most to Airbnb - hosts, listings, users, and trips - and the events that happen across their lifecycles. This work feeds the intelligence layer that Airbnb's next generation of AI products depends on, and it is one of the top priorities for the company's engineering leadership.
The Difference You Will Make:
You will own two closely connected areas:
  • Entity Data Foundation - The value of a shared entity platform depends entirely on producers shipping high-quality, well-modeled data that downstream teams can actually rely on. You will lead the engineering execution that makes this real: partnering with data-producing teams across the company to onboard their entities to the shared semantic model, driving the attribute serving platform that delivers over 1,700 quality and behavioral signals at production scale, and maintaining the health and governance contracts that give consumers confidence in the data they build on. This is platform work with direct product stakes - the teams consuming this data are building Airbnb's next generation of AI products, and what you ship is the foundation they stand on.
  • Trip Intelligence - As Airbnb continues to expand beyond Stays, we have an opportunity to more proactively serve our guests and hosts. We are building a holistic, realtime data product (the Trip) to serve as a shared data product not just for analytics, but also to make trips better as they are happening. Trip Intelligence is one of the highest-priority open problems on the roadmap. You will define and build it: own the trip entity schema from first principles, surface and resolve the competing representations currently scattered across reservations, messaging, customer support, and trust systems, and drive the real-time trip intelligence layer that aggregates signals across the trip lifecycle into a structured, queryable, near-real-time view. This signal layer is a direct dependency for proactive trip support, customer support triage, and host-facing AI products.

The combination is intentional. You are building foundational infrastructure that matters at company scale - and you have a concrete, high-visibility greenfield delivery to anchor your first year.
A Typical Day:
  • Drive entity onboarding with producer teams across the company - unblock teams stuck on data quality issues, resolve schema ambiguity, and close the gap between what the platform promises and what data owners actually experience.
  • Lead technical design on the trip entity - data model, lifecycle event taxonomy, real-time streaming architecture, and privacy-safe handling of message and conversation data.
  • Closely partner with compute and data infrastructure teams to drive the state-of-the-art for realtime data processing at Airbnb.
  • Partner with proactive trip support, customer support triage, and host AI product teams to validate that the signal layer meets their actual use cases, not a spec written in isolation.
  • Review designs spanning attribute serving, real-time event pipelines, and cross-system entity mapping.
  • Work closely with the principal engineer and program manager on roadmap sequencing and escalation of infrastructure dependencies.
  • Manage and develop a team of ~7 engineers - own their careers, not just their sprint output.
  • Represent entity platform work in executive-level program reviews; this program is a direct priority for Airbnb's engineering leadership.

Your Expertise:
  • 9+ years of industry experience, including 3-5+ years in engineering management
  • Bachelor's, Master's, or PhD in Computer Science, Data Engineering, or a related field
  • Background in data engineering, platform engineering, or data infrastructure - you understand entity modeling, schema evolution, data contracts, and what it takes to build systems that downstream teams can rely on.
  • Hands-on fluency with distributed data systems: batch and streaming pipelines, online and offline serving, or event-driven architectures - sufficient to drive design reviews and challenge engineers on tradeoffs.
  • Experience building in a cross-functional platform role - you have navigated the tension between what producers can deliver and what consumers need, and you know how to make progress without direct authority over every team in the chain.
  • Comfort with greenfield work: you have built something from a blank schema or an early-stage spec, not just inherited a running system.
  • Strong instinct for what belongs in shared infrastructure versus what stays in a product team.
  • Clear communicator: able to represent technical decisions to senior leadership and keep producers and consumers aligned across a program with many moving parts.
  • Commitment to engineering excellence, diversity, and belonging.

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
$212,000-$265,000 USD

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