The company is looking to optimize the business impact of deployed machine learning models by refining decision frameworks and accelerating model development and deployment.
Requirements
- Strong proficiency in Python and experience with machine learning frameworks such as PyTorch, or scikit-learn
- Experience deploying machine learning models into production and optimizing model performance based on real-world feedback
- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices
- Experience working with structured and text data, including feature engineering and data preprocessing
- Deep understanding of statistical modeling, optimization techniques, and data analysis
- Knowledge of explainable AI techniques and model interpretability best practices
- Experience developing products leveraging Large Language Models (LLMs)
Responsibilities
- Lead the development and refinement of modeling approaches in collaboration with the Machine Learning Research team
- Help drive rapid experimentation cycles, guiding teams on prioritization and identifying high-impact modeling opportunities
- Contribute to shared modeling infrastructure, building tools and utilities that accelerate experimentation and standardize workflows across teams
- Partner with Engineering, Analytics, and Product teams to integrate machine learning models into product workflows
- Identify new product opportunities for ML, adapting existing approaches or developing novel techniques to deliver impact in new areas
- Proactively identify product needs and communicate them effectively across the Data Science and Machine Learning Research Science teams
- Mentor other Data Scientists on the team, providing technical guidance and fostering skill development
Other
- 8+ years of experience in data science, machine learning, or a related field, preferably in a product-driven environment
- Prior leadership of significant cross-team initiatives with successful outcomes
- Ability to effectively communicate results to stakeholders and guide alignment as projects progress
- Strong collaboration skills and the ability to work across cross-functional teams including Engineering, Product, and Analytics
- A problem-solving mindset with the ability to balance technical rigor with practical business impact
- Experience leading a technical team as a manager or technical lead
- Previous experience working in a startup or high-growth environment
