Data Scientist - Statistics/ML - Remote

Molina Healthcare; Northern (KY); Hybrid; USD 80,000 - 172,000; Full time

Benefits offered by this job

Competitive benefits package

Job summary

Molina Healthcare is seeking a data scientist to perform data and error analysis to improve models, clean and validate data, and run ML experiments across healthcare domains. You will develop and deploy advanced ML models and AI solutions to enhance products and services, leveraging data science, ML, and AI techniques to derive insights from large datasets.

Collaborate with engineers, product managers, and analysts to integrate AI solutions, stay current with AI advancements, and document

Qualifications

• 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 in Python and R, and experience with ML frameworks like TensorFlow, Keras, or PyTorch.
• Statistical analysis: strong understanding of statistical methods and ML algorithms (k-NN, Naive Bayes, SVM, neural networks).
• Experience with Agentic Workflows: designing and implementing agentic workflows for autonomous operations.
• RAG Techniques: knowledge of retrieval-augmented generation techniques for improving outputs.
• Model Fine-Tuning: experience tuning models for tasks and metrics.
• Data Visualization: proficiency with Tableau, Power BI to present data insights.
• Database Management: experience with SQL and NoSQL, data warehousing, ETL.

Responsibilities

• Extract meaningful insights from complex datasets and inform strategic decisions.
• Design, develop, and train ML models using supervised/unsupervised, deep learning, and RL.
• Develop and implement agentic workflows with AI agents for autonomous tasks.
• Use retrieval-augmented generation to enhance language model outputs.
• Fine-tune pre-trained models for specific tasks and datasets.
• Data cleaning and preprocessing to ensure high-quality inputs for modeling.
• Deploy AI models into production and monitor performance.
• Collaborate with software engineers, product managers, and analysts.
• Stay current with AI advances to improve models and methodologies.
• Document models, methodologies, and results for stakeholders.

Skills

Python

R

TensorFlow

Keras

PyTorch

Tableau

Power BI

SQL

NoSQL

ETL

Databricks

Snowflake

Azure AI Studio

Education

Bachelor’s degree in CS/Data Science/Statistics

Master’s degree preferred

Tools

Hadoop

Spark

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 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

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
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.