Data Scientist, Sr.

About The Company Molina Healthcare is a leading healthcare organization dedicated to providing quality medical services and innovative health solutions. Committed to improving health outcomes and enhancing patient care, Molina Healthcare leverages cutting-edge technology and data-driven insights to optimize healthcare delivery. With a focus on community health and accessibility, the company strives to create a more efficient, equitable, and effective healthcare system for diverse populations across various regions.

About The Role We are seeking a highly skilled Data Scientist to join our dynamic team. In this role, you will be instrumental in performing data and error analysis to improve machine learning models, ensuring data accuracy and consistency. Your expertise will drive the development and deployment of advanced AI solutions and predictive models that directly impact healthcare services and operational efficiency. You will work closely with cross-functional teams to interpret complex datasets, develop innovative algorithms, and implement agentic workflows that enhance autonomous decision-making capabilities. The ideal candidate will have a strong background in data science, machine learning, and AI technologies, with a passion for solving complex healthcare challenges through data-driven approaches.

Qualifications

• Master’s Degree in Computer Science, Data Science, Statistics, or a related field
• 6+ years of professional experience as a data scientist, preferably in the healthcare industry
• Proficiency in programming languages such as Python and R
• Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch
• Knowledge of big data technologies including Hadoop and Spark
• Strong understanding of relational database concepts and SDLC methodologies
• Expertise in statistical analysis and machine learning algorithms (k-NN, Naive Bayes, SVM, neural networks)
• Experience in designing and implementing agentic workflows utilizing AI agents
• Familiarity with retrieval-augmented generation (RAG) techniques
• Proven ability to fine-tune pre-trained models for specific applications
• Proficiency in data visualization tools such as Tableau or Power BI
• Experience with SQL, NoSQL databases, data warehousing, and ETL processes
• Strong analytical, critical thinking, and problem-solving skills
• Excellent communication skills for presenting complex insights to varied audiences

Responsibilities

• Extract and interpret meaningful insights from complex datasets to inform strategic decisions
• Design, develop, and train machine learning models using diverse algorithms and techniques
• Develop and implement agentic workflows that utilize AI agents for autonomous task execution
• Employ retrieval-augmented generation patterns to enhance language model performance
• Fine-tune pre-trained models to adapt them for specific healthcare applications
• Clean, preprocess, and validate data to ensure high-quality inputs for modeling efforts
• Deploy AI models into production environments and monitor their performance for accuracy and reliability
• Collaborate with software engineers, product managers, and business analysts to integrate AI solutions into existing systems
• Conduct research to stay current with advancements in AI and machine learning, applying new methodologies to ongoing projects
• Create comprehensive documentation of models, methodologies, and analytical results for stakeholders
• Mentor junior data scientists and team members to foster a culture of continuous learning and innovation
• Partner with business teams to develop ML models that improve key metrics such as Star ratings and care gap reduction
• Present complex analytical findings clearly to non-technical audiences and executive leadership
• Identify opportunities for data-driven solutions and technology-enabled improvements across healthcare processes

Benefits

• Competitive salary package aligned with experience and skills
• Comprehensive health, dental, and vision insurance plans
• Retirement savings plans with company matching
• Paid time off and holiday leave
• Professional development opportunities and continuous learning support
• Work-life balance initiatives and flexible working arrangements
• Access to cutting-edge tools and technologies in AI and data science
• Inclusive and diverse workplace environment

Equal Opportunity

Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.