Data Scientist - Statistics/ML - Remote

Molina Healthcare

United States

On-site

USD 80,000 - 172,000

Full time

28 hours ago

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Job summary

Molina Healthcare seeks a data scientist to perform data and error analysis, clean data, and run statistical experiments to improve models across healthcare domains. You will develop and deploy advanced ML models and AI solutions to enhance products and services.

Collaborate with software engineers, product managers, and analysts to derive insights, fine-tune models, and monitor deployed AI systems, driving measurable business decisions.

Qualifications

3+ years’ work experience as a data scientist, preferably in healthcare.
Knowledge of big data technologies (Hadoop, Spark) and modern ML tooling.
Proficiency in Python and R; experience with ML frameworks (TensorFlow, Keras, PyTorch).
Strong statistical foundation and experience with ML algorithms (e.g., neural networks).
Experience with Agentic Workflows and retrieval-augmented generation (RAG) techniques.
Data visualization skills (Tableau, Power BI) and data warehousing/ETL know-how.
Problem-solving mindset with ability to deliver innovative data-driven solutions.

Responsibilities

Data Analysis and Interpretation: Extract insights from complex datasets and inform strategy.
Machine Learning Model Development: Design, develop, train ML models using diverse algorithms.
Agentic Workflows Implementation: Develop workflows that use AI agents for autonomous tasks.
RAG Pattern Utilization: Use RAG to enhance language model performance with external knowledge.
Model Fine-Tuning: Fine-tune pre-trained models for specific tasks.
Data Cleaning and Preprocessing: Clean data, handle missing values, remove outliers.
AI Model Deployment and Monitoring: Deploy models and monitor performance in production.
Collaboration: Work with engineers, PMs, and business analysts to integrate AI solutions.
Research and Development: Stay updated on AI advancements and apply them.
Documentation and Reporting: Document models and communicate findings clearly.

Skills

Data Science

Machine Learning

Healthcare domain knowledge

Agentic Workflows

RAG Techniques

Data Visualization

Statistical Analysis

Problem-Solving

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Bachelor’s degree in Statistics

Master’s degree in Computer Science

Tools

Hadoop

Spark

Python

TensorFlow

Keras

PyTorch

Tableau

Power BI

SQL

NoSQL

ETL

Job description

Job Summary

Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across various healthcare domains. Developing and deploying advanced machine learning models and AI solutions that enhance our products and services. Leverage their expertise in data science, machine learning, and AI technologies to derive insights from large datasets and create predictive models that drive business decisions.

Job Description

Job Duties

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.

Job Qualifications

Required Education

Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field

Required Experience/Knowledge, Skills & Abilities

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.

Preferred Education

Master’s degree in computer science, Data Science, Statistics, or a related field

Preferred Experience

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.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $79,607 - $172,483 / ANNUAL