Senior Data Scientist II
August 15
🔄 Hybrid – Manhattan
Description
• Develop and maintain state-of-the-art machine learning systems, with a focus on recommender systems and/or Natural Language Processing (NLP), to enhance user experience, operational efficiency, and risk management. • Establish rigorous evaluation metrics for AI models and iterate on existing models to improve performance continuously. • Deploy AI solutions in real-world applications, ensuring seamless integration with existing systems • Monitor and maintain deployed models to ensure ongoing performance • Collaborate with cross-functional teams (Product, Engineering, Operations) to understand business requirements and integrate data science insights into our platforms and workflows. • Continuously explore new data science methodologies and technologies to keep our capabilities cutting-edge.
Requirements
• 5+ years of experience developing and deploying scalable machine learning solutions, with a focus on recommender systems or NLP • Strong proficiency in Python, with a strong grasp of machine learning libraries and tools (e.g., TensorFlow, PyTorch and/or XGBoost) • Knowledge of best practices for monitoring, logging, and maintaining deployed AI systems in production • Excellent problem-solving skills and the ability to work independently on complex tasks. • Strong communication skills and ability to convey complex technical concepts to non-technical stakeholders • Familiarity with cloud platforms (AWS), containerization technologies (Docker), and orchestration tools (Kubernetes) is a plus • Proven expertise in Retrieval Augmented Generation (RAG) through Large Language Models (LLMs) is a plus
Benefits
• Competitive pay • Employer-paid healthcare • Stock options
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