Job Summary: Join our dynamic team as a Data Scientist specializing in Generative AI and Machine Learning! You will play a crucial role in performing data analysis, enhancing model performance, and ensuring high-quality data accuracy. Your work will involve conducting innovative data science experiments that have a real impact on the healthcare sector. We are looking for someone with a passion for developing advanced AI solutions that drive insights from large datasets and influence critical business decisions.
Key Responsibilities:
- Data Analysis: Extract and interpret meaningful insights from complex datasets to support strategic decision-making.
- Model Development: Design, develop, and train machine learning models utilizing various algorithms and techniques, including supervised, unsupervised, deep learning, and reinforcement learning.
- AI Workflows: Create and implement agentic workflows that utilize AI agents for improved task automation and operational efficiency.
- RAG Patterns: Utilize retrieval-augmented generation techniques to enhance the language models' outputs through effective external knowledge integration.
- Model Fine-Tuning: Skillfully fine-tune pre-trained models to ensure they meet specific tasks and performance metrics.
- Data Cleaning: Prepare high-quality datasets by handling missing values and removing outliers to ensure accurate modeling input.
- Model Deployment: Deploy AI models in production, monitor performance, and make adjustments to maintain their effectiveness and accuracy.
- Collaboration: Work closely with cross-functional teams, including software engineers and product managers, to successfully integrate AI solutions into current systems.
- Research and Development: Stay updated on the latest AI and machine learning advancements and leverage these insights to enhance models and develop methodologies.
- Documentation: Document methodologies, models, and findings comprehensively, clearly communicating insights to non-technical stakeholders.
Qualifications:
Education: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's degree is preferred.
Experience Required:
- 3+ years of experience as a data scientist, ideally in healthcare, but applicable experience in other industries will also be considered.
- Proficient with big data technologies (such as Hadoop, Spark).
- Strong programming skills in Python or R, familiarity with frameworks like TensorFlow, Keras, or PyTorch.
- Solid understanding of statistical methods and machine learning algorithms.
- Experience with agentic workflows and retrieval-augmented generation techniques.
- Expert in fine-tuning models according to requirements.
- Proficient in data visualization tools like Tableau or Power BI.
- Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
- Strong problem-solving skills with a focus on innovative solutions.
Preferred Experience:
- Experience with cloud platforms for managing AI workflows.
- Familiarity with natural language processing (NLP) and computer vision techniques.
To all current Molina employees: If you would like to apply for this exciting opportunity, please do so through the intranet job listing. We offer a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer. Pay Range: $88,453 - $206,981 annually. Actual compensation may vary based on location, work experience, education, and skill level.