Data Scientist, Trust – ML/Algorithms

Airbnb

Data Scientist at Airbnb developing AI-driven content understanding systems for trust integrity. Collaborating with cross-functional teams to enhance user-generated experience with statistical thinking and applied ML.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $151,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI/ML systems, particularly with NLP and LLM-based models, while effectively communicating complex analyses and insights to diverse audiences. Strong project management and collaboration skills are essential for driving cross-functional alignment and enhancing data science capabilities.

Highest-signal resume keywords

AI/ML Model DevelopmentNLP and LLM-Based SolutionsPython and SQL ProficiencyCausal Inference KnowledgeData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisFeature EngineeringModel EvaluationError AnalysisEnd-to-End Model Lifecycle Management

Soft Skills

Communication SkillsProject ManagementCollaboration Skills

Tools & Technologies

TensorFlowPyTorchSparkAirflowData Warehouse

Industry Keywords

Trust IntegrityContent QualityData Science CapabilitiesResearch FindingsTechnical Community Engagement

Tech Stack

Tools & technologies

AirflowPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Build and deploy production AI/ML systems for trust integrity, including feature engineering, model development and evaluation, thresholding, error analysis and end-to-end model lifecycle management. This includes working with NLP and LLM-based models in real production settings.
Partner with inference data scientists to conduct rigorous quantitative analyses, applying working knowledge of causal inference to interpret results, assess impact, and identify gaps and opportunities to improve content quality and trust outcomes.
Deliver clear, well-structured research findings with compelling data visualizations and rigorous analysis to drive alignment and action with cross-functional partners in product, engineering and operations
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

Requirements

What you’ll need

2+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or PhD in relevant fields.
State-of-the-art knowledge of AI/ML models
Hands-on experience building, evaluating and deploying NLP and LLM-based solutions
Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Spark, Airflow and data warehouse
Proven ability to communicate clearly and effectively to audiences of varying technical levels. Excellent project management, communication and collaboration skills
Working knowledge of causal inference
Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus.

Benefits

Comp & perks

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.