Senior Data Scientist, Trust - Algorithms (Remote)

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Job Summary:

Airbnb is a global platform that connects hosts and guests, aiming to establish the most trusted experience in the industry. The role of Senior Data Scientist on the Trust team involves collaborating with various stakeholders to develop machine learning models for fraud detection and to enhance payment experiences. Responsibilities include building models, optimizing manual reviews, and engaging with the scientific community to advance the company's initiatives.

Responsibilities:

• Build machine learning models to detect high risk activities, develop data mastery to uncover learnings, and formulate structured frameworks to classify and interpret our users’ behavior

• Work cross functionally with operations and product teams to define and collect labels for model training, optimize effectiveness of manual review, and build self-satisfiable verifications that scale.

• Develop measurement strategies to test new product features that deter and mitigate risk, while adhering to ethical guidelines

• Apply and experiment with state-of-the-art innovations to uplevel Airbnb status-quo approaches to technical problems

• Regularly present work internally to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress

• Publish externally and engage with the scientific community to advance Airbnb’s standing

• Devise optimization models to make optimal business decisions while minimizing risk

• Utilize Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behaviors sequences, or how can we detect anomalies effectively

Qualifications:

Required:

• Advanced degree in a quantitative field. PhD is a plus.

• 4+ years of relevant industry and/or academic experience developing scientific frameworks, building machine learning models, and implementing advanced experimentation techniques (e.g. ML scientist, tech lead, junior faculty)

• Strong fluency in Python for hands-on IC work and advanced data analysis in SQL at scale

• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection).

• Strong team player who thrives on collaboration and enjoys solving problems alongside others. You value diverse perspectives, communicate proactively, and believe the best solutions are built together—not in isolation.

• Comfortable collaborating with software engineers to understand complex systems and abstracted logs, and working closely with other cross functional partners such as product, policy, and analytics

• Proven ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution of it while managing ambiguity and adapting as necessary.

• Proven ability to communicate clearly and effectively to cross functional partners of varying technical levels.

Preferred:

• Experience in NLP and sequence modeling is a plus.

• Experience working within the trust and/or fraud domain is a plus.

• Industry experience building end-to-end Machine Learning systems and/or building and productionizing Machine Learning models is a plus.

Company:

Airbnb is an online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet. Founded in 2008, the company is headquartered in San Francisco, California, USA, with a team of 5001-10000 employees. The company is currently Public Company. Airbnb has a track record of offering H1B sponsorships.