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Staff Data Scientist, Locations

Airbnb

United States

Remote

USD 194,000 - 240,000

Full time

10 days ago

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Job summary

Join a forward-thinking company as a Staff Data Scientist focused on enhancing location data strategies. This role involves collaborating closely with product and engineering teams to create impactful user-facing data products that enhance guest experiences. You will leverage your expertise in data science and geospatial analysis to drive innovation in location-based services. This is an exciting opportunity to contribute to a dynamic and inclusive team dedicated to providing unique travel experiences. If you're passionate about data and its power to transform user experiences, this role is for you!

Benefits

Employee Travel Credits
Bonuses
Equity
Comprehensive Benefits

Qualifications

  • 9+ years of industry experience in data science or related fields.
  • Hands-on experience with geospatial data and LLMs preferred.

Responsibilities

  • Analyze and derive new location data products and features.
  • Collaborate with product and engineering to shape data strategy.

Skills

Data Science
Geospatial Data
Natural Language Processing (NLP)
Statistical Analysis
Communication Skills

Education

PhD in Data Science or related field
Masters in Data Science or related field

Tools

LLMs (Large Language Models)
Geographic Information Systems (GIS)

Job description

Join to apply for the Staff Data Scientist, Locations role at Airbnb.

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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

We are looking for a talented Data Scientist to join the Locations Data Science team. Locations are a fundamental part of multiple aspects of Airbnb. This team is responsible for investing and expanding our Locations data foundation, creating the intelligence around Locations data strategy, and building the data products needed to provide guests the location context they need to make informed booking decisions.

The Difference You Will Make

As a Staff Data Scientist on the Locations team, you will have the opportunity to help shape the data strategy of Locations at Airbnb. Your role will involve close collaboration with Product to identify user pain points that will inform new Locations features and Engineering to ensure our expanding data foundation is robust, scalable, and cost-effective.

You will analyze and derive new location data products and features. This may range in projects from recommending places-of-interest based on traveler preferences, to generating neighborhood vibes and descriptions using LLMs, to modeling and discovering location affinities, to name a few examples.

A Typical Day

  • Build a deep understanding of the locations space through technical analysis. Translate insights into impactful user-facing location data products or assets.
  • Drive exploration, development, and prototyping of innovative location data products in close partnership with product and engineering stakeholders.
  • Explore both internal and external data sources to derive impactful location assets.
  • Quantify the impact of launched data products through experimentation and/or causal inference techniques.
  • Research new approaches to measure items like location relevance and map behaviors to understand how they tie to user satisfaction and business outcomes.

Your Qualifications

  • Advanced degree (PhD or Masters) in Data Science, Statistics, Geographic Information Systems, Econometrics, or a related field.
  • 9+ years of relevant industry experience (6+ with a PhD).
  • Prior experience working with geospatial data strongly preferred.
  • Hands-on experience using LLMs for information retrieval or knowledge extraction preferred. Related NLP, CV, UGC/content understanding experience a plus.
  • Proven ability to effectively communicate and influence at various levels to technical and non-technical stakeholders.
  • Prior experience working with cross-functional partners like product, engineering, and design to enable data-driven product development.
  • Familiarity with prototyping, building, and scaling derived data assets.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager. While the position is Remote Eligible, you must reside in a state where Airbnb, Inc. has a registered entity. Please check the current list of excluded states. If your employment is through another Airbnb entity, your recruiter will inform you of your eligible states.

Our Commitment To Inclusion & Belonging

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, enabling us to attract creatively-led people and develop the best products, services, and solutions. All qualified individuals are encouraged to apply.

We also aim to provide a disability-inclusive application and interview process. If you require reasonable accommodation to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Include your full name, the role you’re applying for, and the necessary accommodation.

We request that only candidates with disabilities contact us if they are unable to complete the online application.

How We'll Take Care Of You

Our job titles may span multiple career levels. The actual base pay depends on factors such as training, skills, 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 bonuses, equity, benefits, and Employee Travel Credits.

Pay Range: $194,000—$240,000 USD

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • Software Development

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