Senior Data Scientist - AIML

Caring. Connecting. Growing together.

Primary Responsibilities

• Apply advanced statistical techniques, data science methodologies, and AI practices, including generative AI using GPT models
• Design, develop, and implement cutting-edge generative AI models and systems
• Perform data mining, cleaning, and aggregation to prepare datasets for analysis
• Manage and query data while ensuring high standards of data quality and integrity
• Communicate complex insights through compelling data storytelling and visualizations using Power BI
• Leverage ML Ops practices to deploy and manage machine learning models in production environments
• Collaborate in an agile team setting, actively participating in sprint planning, reviews, and retrospectives
• Adhere to company policies, employment terms, and evolving business directives, including flexibility in work location, team assignments, and work arrangements
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
  

Required Qualifications

• 5+ years of experience in data science with a strong foundation in machine learning, statistics, and data science methodologies
• 1+ years of hands-on experience applying AI to real-world technology solutions
• Experience fine-tuning LLM hyperparameters and optimizing model configurations for performance and client impact
• Hands-on experience with ML Ops and deploying models in production
• Familiarity with embeddings and other advanced data science techniques
• Proficiency in Python, TensorFlow, NLP, and deep learning frameworks
• Demonstrated ability to collaborate with cross-functional teams to prototype, build, test, and scale GenAI/LLM-powered solutions
• Solid background in REST API development, NoSQL and RDBMS design, and performance optimization
• Proficiency in cloud platforms such as GCP, Microsoft Fabric, Azure Stack, and Azure ML
• Proven expertise in generative AI and GPT-based model development
• Proven advanced skills in data storytelling and visualization using Power BI
• Proven excellent communication and collaboration skills, especially with non-technical stakeholders
• Proven agile mindset with a proven ability to contribute effectively in agile teams
  

Preferred Qualifications

• Master’s degree in Data Science, Statistics, Computer Science, or a related field
• Experience working with healthcare data and a solid understanding of the healthcare industry