Senior Data Scientist - AI & Machine Learning (Remote)

We are seeking an experienced Senior Data Scientist to help develop, optimize, and evaluate innovative AI and machine learning solutions within the healthcare technology space.

This role offers the opportunity to work with large, complex datasets, develop advanced AI models, and collaborate with cross-functional teams to deliver meaningful insights and impactful products.

The ideal candidate brings a strong foundation in statistics, machine learning, and software development, along with hands-on experience in large language models (LLMs) and modern AI techniques., * Leverage extensive datasets to develop, optimize, fine-tune, and evaluate AI-powered products and solutions.

• Design and develop product-facing and client-facing analytics to support business decisions.
• Collaborate with product managers, analysts, engineers, and business stakeholders to define and execute data science initiatives.
• Lead data projects from ingestion and exploration through modeling, analysis, and actionable recommendations.
• Design, train, and evaluate machine learning models using modern frameworks and techniques.
• Contribute to data science strategy, technical planning, and continuous improvement initiatives.
• Translate complex technical findings into clear, actionable insights for technical and nontechnical audiences.

• 5+ years of professional experience in Data Science, Machine Learning, or a closely related field, working with large-scale, complex datasets.
• Advanced knowledge of statistical analysis, exploratory data analysis, experimental design, and probability theory.
• Strong understanding of modern machine learning techniques, including deep learning, reinforcement learning, and large language models.
• Hands-on experience with LLM fine-tuning methodologies, includimg: Supervised Fine-Tuning (SFT); Direct Preference Optimization (DPO); Reinforcement Fine-Tuning (RFT)
• Proven experience designing, training, and evaluating large-scale machine learning models using PyTorch or TensorFlow.
• Advanced Python programming skills, including object-oriented programming, production-quality code, and modern data science libraries.
• Advanced SQL proficiency, including writing and optimizing complex queries across multiple datasets.
• Experience with distributed data processing technologies and scalable machine learning workflows.
• Strong data visualization, analytical storytelling, and communication skills.
• Ability to collaborate effectively with cross-functional teams and communicate technical concepts to business stakeholders., * A curious, analytical problem-solver who enjoys tackling complex data challenges.
• Someone who stays current with emerging AI technologies and machine learning research.
• A collaborative professional who can balance technical depth with business impact.
• A self-starter who takes ownership of projects and thrives in an innovative, fast-paced environment.