Note: The job is a remote job and is open to candidates in USA. UpRecruit is hiring a Staff / Principal Data Scientist for a global, high-scale digital commerce platform. The role focuses on architecting, deploying, and owning production machine learning models across personalization, recommendations, fraud detection, advertising, experimentation, marketplace optimization, and predictive modeling, while providing technical leadership across teams.
Responsibilities
- Architect and build production-grade ML models from problem definition through deployment and optimization
- Develop models across recommendation, personalization, fraud, ranking, advertising, churn/LTV, and marketplace optimization
- Own models in production, including monitoring, drift detection, retraining, latency, and inference performance
- Design rigorous experimentation and measurement frameworks to quantify business impact
- Establish ML architecture, evaluation standards, and technical best practices across teams
- Work with large-scale datasets and distributed ML/data infrastructure
- Provide technical leadership and mentorship to data scientists and ML engineers
- Evaluate emerging AI and LLM technologies and determine where they can create meaningful value
Skills
- Deep hands-on experience building, deploying, and owning machine learning models in large-scale production environments
- • Staff or Principal-level experience in applied machine learning or data science
- • Advanced degree in Statistics, Machine Learning, Computer Science, Mathematics, Engineering, or a related quantitative field
- • Deep hands-on experience building and training models rather than primarily integrating hosted APIs
- • Proven experience deploying and owning ML models at significant production scale
- • Strong foundation in supervised learning, deep learning, neural networks, gradient boosting, and statistical modeling
- • Experience with recommendation systems, fraud/anomaly detection, ranking, personalization, advertising ML, or churn/LTV modeling
- • Strong Python skills with frameworks such as PyTorch, TensorFlow, XGBoost/LightGBM, or scikit-learn
- • Experience with modern MLOps practices, real-time systems, and low-latency production environments
- • Ability to influence technical direction across teams while remaining deeply hands-on
- Location: Remote — United States / Canada
Benefits
- Comprehensive benefits package
- Remote — United States / Canada
- Substantial technical ownership
- Opportunity to influence how ML is built and deployed across a global platform
Company Overview