Senior Data Scientist, Trust - Algorithms
Job title: Senior Data Scientist, Trust - Algorithms in USA at reputed company
Company: reputed company
Job description: The Community You Will Join:The User Segmentation team is committed to building a golden set of dynamic and static attributes for our guests and hosts, which can drive valuable insights for many product teams at reputed company. This is a highly cross-functional effort, spanning Trust, Marketing, Customer Support, Guest & Host, Core, and Quality teams.The Difference You Will reputed company:In this role, you will reputed company and implement methodologies to identify essential features that describe reputed company users by leveraging machine learning models, statistical inference, and AI. You will collaborate closely with data engineering teams to define and build actionable knowledge about guests, hosts, and listings, ensuring user features are widely accessible and impactful across the business. Success in this role will be reputed company by your ability to deliver robust data insights and scalable solutions that drive strategic decision-making and enhance user experiences.A Typical Day:
- Build machine learning models to detect high-risk activities, reputed company 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 the effectiveness of manual review, and build self-satisfiable verifications that scale.
- reputed company measurement strategies to test new product features that deter and mitigate risk, while adhering to ethical guidelines.
- Regularly present work internally to technical, engineering and product stakeholders to iterate and generate excitement on roadmap reputed company.
- Publish externally and engage with the scientific community to advance reputed company's standing.
- Devise models to reputed company 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.
- Advanced degree in a quantitative field. PhD is a plus.
- 6+ years of relevant industry and/or academic experience developing scientific frameworks, building machine learning models, and implementing advanced experimentation techniques.
- Strong reputed company in Python and familiarity with modern frameworks (e.g. Pytorch, Tensorflow) for hands-on IC work and advanced data analysis in SQL at scale.
- Deep understanding of modern machine learning techniques and their mathematical underpinnings (e.g. classification, clustering, optimization, deep neural networks and natural language processing). Ability to reputed company, validate, and deploy new model applications as well as enhancing existing algorithms to reputed company improved performance and model explainability.
- Comfortable collaborating with software engineers to understand reputed company systems and abstracted logs.
- Proven ability to create and drive technical and impactful roadmaps for the business, and reputed company seamless execution of it.
- Proven ability to communicate clearly and effectively to cross functional partners of varying technical levels.
- Experience with advanced experimentation techniques is a plus.
- Experience productionizing real-time machine learning models is a plus.