Molina Healthcare
Data Scientist - Generative AI and Machine Learning
Molina Healthcare, Santa Fe, New Mexico, us, 87503
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.
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.