Data Scientist - Algorithms, Community Support

1 month, 2 weeks ago
Full-time
Junior
Data Science and Analytics
Airbnb

Airbnb

Airbnb is the world's largest community-driven hospitality company, offering homes and experiences in 191 countries. It is an online marketplace connecting people to unique accommodations and experiences globally.

Hotels, Restaurants & Leisure
5K-10K
Founded 2008

Description

  • Collaborate with engineers, product managers, designers, and operations partners to deliver personalized and fair support experiences.
  • Partner with the tech lead on high-impact AI and data science projects for Community Support.
  • Automate and improve the LLM evaluation process with efficient, high-quality methods.
  • Curate and scale synthetic datasets across Community Support domains for LLM training and evaluation.
  • Build LLM and ML models to understand customer issues, identify failure modes, and surface improvement opportunities.
  • Develop personalization models that deliver differentiated experiences and business impact.
  • Identify high-impact business opportunities through data exploration and model prototyping.
  • Analyze structured and unstructured data to generate insights and actionable recommendations.
  • Build and deploy production LLM/ML models that support data-driven product launches.
  • Communicate findings and recommendations to leaders and stakeholders to support decision-making.

Requirements

  • 2+ years of relevant industry experience, such as data scientist, ML scientist, tech lead, or junior faculty experience.
  • Master’s degree or PhD in a relevant field.
  • State-of-the-art knowledge of AI/ML models.
  • Strong fluency in Python, R, and SQL.
  • Experience with observational causal inference is a plus.
  • Proven ability to communicate clearly to technical and non-technical audiences.
  • Ability to translate complex findings into compelling narratives that drive impact.
  • Excellent project management, communication, and collaboration skills.
  • Product-oriented mindset with the ability to design solutions that consider user experience.
  • Must live in a state where Airbnb, Inc. has a registered entity for this US-remote-eligible role.

Benefits

  • Base pay range of $151,000 to $175,000 USD.
  • May be eligible for bonus.
  • May be eligible for equity.
  • May be eligible for benefits.
  • May be eligible for Employee Travel Credits.
  • US-remote-eligible work arrangement.
  • Occasional work at an Airbnb office or attendance at offsites, as needed.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Senior Manager, Quantitative Analytics

Affirm 1K-5K Diversified Financial Services

Affirm is hiring a Model Risk Management leader to oversee underwriting and credit risk validation, combining team leadership with hands-on validation of complex machine learning models.

Machine Learning Python SQL Statistics
14 hours, 12 minutes ago

Senior Technical Advisor, Data Use and Decision Science (Remote - US, UK, France, DRC)

Resolve to Save Lives 51-250 Capital Markets

Resolve to Save Lives is hiring a Senior Technical Advisor, Data Use and Decision Science to support DRC collaborative surveillance efforts and strengthen epidemic intelligence, data use, and decision-making for outbreak preparedness and response.

R
14 hours, 57 minutes ago

Senior Data Scientist, Business Analytics

Venice AI is hiring a Senior Data Scientist to own company-wide analytics and data infrastructure for privacy-first product and business decisions.

Go LLM PostgreSQL Python Rust SQL TypeScript
1 day, 14 hours ago

Sr. Staff Quantitative Product Researcher

Pinterest 5K-10K Internet Software & Services

Pinterest is hiring a Sr. Staff Quantitative Product Researcher to lead user-centered measurement across the consumer experience and help shape how the company evaluates the Pinner experience.

Machine Learning Python R SQL
1 day, 14 hours ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers