Data Scientist, Trust & Safety – Rentals

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of designing, developing, and implementing comprehensive analytical and machine learning solutions for moderately complex business challenges and customer scenarios.

• Collaborate with product, engineering, and business stakeholders to convert unclear queries into testable hypotheses and establish success metrics.

• Transform requirements into solid analytical or modeling strategies.

• Construct, validate, and sustain scalable data pipelines, features, and models utilizing contemporary data and ML technologies.

• Ensure reliability, reproducibility, and performance within production settings.

• Examine large, intricate datasets to identify trends, drivers, and opportunities.

• Present findings and recommendations to both technical and non-technical stakeholders.

• Implement experimentation and evaluation techniques such as A/B testing, backtesting, and error analysis.

• Contribute to the establishment of standards, documentation, and best practices concerning data quality, model governance, and the responsible use of data and AI.

⛳️ Requirements

• Bachelor’s degree in a quantitative discipline such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

• Over 5 years of experience applying data science, advanced analytics, or machine learning in a professional environment.

• Proven experience in designing and executing end-to-end analytical or ML solutions, encompassing data preparation, feature engineering, model development, validation, and operationalization.

• Familiarity with large datasets and modern data ecosystems, including distributed data processing and cloud-based data platforms.

• Experience in developing insights and data products that inform business decisions.

• Demonstrated ability to collaborate with cross-functional teams to grasp requirements, prioritize tasks, and achieve measurable results using data and analytics.

• An equivalent combination of education and experience is acceptable.

🏝️ Benefits

• Equity awards based on factors such as experience, performance, and location.

• Flexible distributed work model through Cloud HQ.

• Option to work from a physical location of your choice.

• An inclusive, innovative, and engaging culture.

• Opportunities for professional growth.