Senior Data Scientist

Location: Remote (Florida preferred, but will consider anywhere in U.S. depending on willingness to come to the South Florida office monthly/quarterly) Contract Duration: Long-term contract Job Description We are seeking a Senior Data Scientist with extensive experience in building, optimizing, and deploying advanced AI systems (recommendation engines, personalization models, and LLM-driven data applications). The ideal candidate will be passionate about leveraging data science to create tailored customer experiences using machine learning, deep learning, and AI-driven methodologies. Key Responsibilities • Design, develop, and optimize recommendation algorithms (collaborative filtering, content-based, hybrid models, etc.). • Build scalable personalization models that improve user engagement, retention, and conversion. • Utilize real-time and batch-based machine learning approaches for recommendation systems. • Leverage techniques such as embeddings, reinforcement learning, and deep learning. • Lead the data science design of an LLM-based engine that enables users to query and interact with enterprise data stored in Snowflake using natural language (“talk to your data”). • Develop semantic layers, embeddings, and retrieval strategies (e.g., RAG-style architectures) to translate user intent into accurate, governed data queries and insights. • Partner with data engineering to ensure robust data modeling, feature availability, and performant access patterns in Snowflake. • Develop A/B testing and experimentation strategies to measure the impact of personalization. • Work closely with engineering teams to deploy models in production at scale. • Collaborate with product, marketing, and analytics teams to align models with business goals. • Stay up to date with the latest advancements in recommendation systems and AI, with a strong focus on applied LLMs and enterprise GenAI use cases. Requirements • 5+ years of experience in Data Science, with a strong focus on personalization and recommendation systems. • Expertise in machine learning, deep learning, and statistical modeling. • Strong programming skills in Python. • Experience with big data technologies such as Spark, Databricks, Snowflake or similar. • Familiarity with cloud platforms like AWS, GCP, or Azure. • Experience in deploying machine learning models at scale using MLOps best practices. • Strong understanding of A/B testing, experimentation, and causal inference. • Ability to work with large-scale datasets and real-time data processing. • Hands-on experience working with Large Language Models (LLMs) for analytics, search, data interaction use cases or similar. • Excellent problem-solving and communication skills. Preferred Qualifications • Experience with knowledge graphs, reinforcement learning, or multiarmed bandits for recommendations. • Strong business acumen and experience translating business needs into AI solutions.