[Remote] Data Scientist - Statistics/ML - Remote

Note: The job is a remote job and is open to candidates in USA. Molina Healthcare is seeking a data scientist to support healthcare-focused data and statistical analysis. The role involves developing, fine-tuning, deploying, and monitoring machine learning and AI models, as well as collaborating with cross-functional teams to apply insights and improve products and services.

Responsibilities

• Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making
• Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning
• Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities
• RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs
• Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications
• Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling
• AI Model Deployment and Monitoring: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness
• Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes
• Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies
• Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders

Skills

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field
• 3+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
• Knowledge of big data technologies (e.g., Hadoop, Spark
• Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch
• Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks
• Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations
• RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs
• Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics
• Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively
• Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes
• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges
• Master's degree in computer science, Data Science, Statistics, or a related field
• Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models
• Familiarity with natural language processing (NLP) and computer vision techniques

Benefits

• Remote work arrangement

Company Overview

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