Data Scientist, Machine Learning

Job Summary Seeking a Data Scientist with a strong focus on Machine Learning to drive the development and deployment of models that directly impact customer experience and business performance. This role is responsible for building, optimizing, and scaling models that support core platform functionality such as search, ranking, and predictive analytics. The position plays a critical role in transforming large scale data into actionable insights and intelligent systems that improve decision making and operational efficiency. This role is best suited for a candidate with 5 or more years of experience who is both technically strong and business minded. Success requires the ability to identify high value opportunities, execute independently, and deliver measurable outcomes. Collaborate closely with engineering and cross functional teams to ensure models are production ready and aligned with business goals. Design, develop, and optimize machine learning models for search, ranking, and recommendation systems Build classification models to predict user behavior such as cancellations and engagement patterns Develop predictive models to support pricing and revenue optimization strategies Analyze large datasets to identify trends, patterns, and opportunities for improvement Perform feature engineering to enhance model performance and accuracy Partner with engineering teams to deploy models into production environments Ensure models are scalable, reliable, and maintain consistent performance over time Design and execute A B testing frameworks to evaluate model effectiveness Build dashboards and reports to communicate insights and performance metrics Translate complex technical findings into clear, actionable insights for stakeholders Continuously research and implement new machine learning techniques to improve outcomes Machine Learning is core to their role (70-90%), not just a small portion Can build, deploy, and own models in production within a small team environment. Qualifications 5 or more years of experience in Data Science or Machine Learning Engineering Strong proficiency in Python and machine learning libraries Solid understanding of statistical modeling, experimentation, and data analysis Experience owning the full model lifecycle including data preparation, modeling, deployment, and monitoring Strong SQL skills with experience working on large datasets Experience working in cloud environments such as GCP or similar platforms Strong communication skills with the ability to explain technical concepts clearly Experience with MLOps tools and best practices is preferred Industry experience in marketplace, travel, or financial services is a plus 5-10+ years in Data Science or Machine Learning roles Currently or recently owning ML models for one company (not consulting or multiple clients) Experience owning the full lifecycle of machine learning models, from data preparation and feature engineering through deployment and performance monitoring. Hands on experience across the full lifecycle: Data extraction and cleaning Feature engineering Model development and tuning Production deployment Monitoring and iteration Experience building models tied to: Search or ranking Recommendations Pricing or forecasting User behavior prediction (conversion, churn, cancellations) Experience deploying models into production (not just offline work) Strong understanding of experimentation and A B testing In house Data Scientist at a consumer product, marketplace, travel, or ecommerce company Experience improving conversion, revenue, or engagement through ML models Exposure to MLOps practices and working closely with engineering teams Comfortable as a senior individual contributor with full ownership Experience in fast paced or startup environments Strong business judgment, understands tradeoffs not just modeling Benefits Competitive benefits package including health coverage Flexible work environment Opportunity to work on high impact, data driven initiatives Career growth in a fast paced, technology focused environment