Sr. Data Scientist

Job Title: Data Scientist
Job Location: Dallas, TX
Job Duration: 6 Months (possibility of extension)
Shift: 8:30am - 5:00pm local time-zone
 

Job Summary:

• This position focuses on advanced data science, machine learning, and AI model development within the healthcare domain.
• The Data Scientist will execute analytical experiments, perform complex data analysis, and build/optimize ML models—including RAG pipelines and agentic workflows—to support business outcomes such as improved care gaps, enhanced Star ratings, and operational efficiency.

Key Responsibilities:

Data Science & Machine Learning:

• Analyze complex datasets to derive actionable insights and support strategic decisions.
• Develop, train, and optimize ML models using supervised, unsupervised, deep learning, and reinforcement learning techniques.
• Fine-tune pre-trained models for specific workloads to achieve high performance.
• Implement RAG (Retrieval-Augmented Generation) pipelines to improve LLM accuracy and reliability.
• Build agentic workflows enabling autonomous AI-driven tasks.

Data Engineering & Quality:

• Clean, validate, and preprocess large datasets; handle missing values and outliers.
• Work with SQL/NoSQL databases, ETL pipelines, and data warehousing solutions.

AI Deployment & Monitoring:

• Deploy and monitor ML/AI models in production environments, ensuring accuracy and stability.
• Partner with engineering, product, and business teams for integration into existing systems.

Leadership & Collaboration:

• Mentor junior data scientists and support analytics project planning/delivery.
• Present complex analytical results to technical and non-technical audiences.
• Stay current with AI/ML advancements and propose new methodologies.

Required Skills & Experience:

• 6+ years as a Data Scientist, ideally in healthcare (other industries acceptable).
• Strong programming: Python, R; frameworks like TensorFlow, Keras, PyTorch.
• Statistical & ML expertise: k-NN, Naive Bayes, SVM, neural networks, etc.
• Big data: Hadoop, Spark.
• Agentic workflows experience (AI agents for autonomous operations).
• RAG expertise and LLM enhancement techniques.
• Model fine-tuning on specialized datasets/tasks.
• Data visualization: Tableau, Power BI.
• Database experience: SQL & NoSQL, ETL, data warehouse concepts.
• Strong problem-solving and critical thinking.

Preferred Experience:

• Cloud platforms such as Databricks, Snowflake, Azure AI Studio.
• Experience in NLP or Computer Vision.

Other Requirements:

• PhD preferred (or equivalent advanced experience).