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Applied AI Scientist III

CareSource

Remote or Dayton, Ohio • Today

Full-time

USD 94,100.00 - 164,800.00 per year

Applied AI Lead - Solutions & Delivery

Leonardo DRS

Beavercreek, Ohio • Today

Full-time

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 130,000.00 - 162,500.00 per year

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 130,000.00 - 162,500.00 per year

Senior Applied AI Engineer

Omada Health

Remote • Today

Full-time

USD 200,560.00 - 250,700.00 per year

Senior Applied AI Engineer

CINC Systems

Remote • Today

Full-time

Senior Applied AI Architect

CAI

Remote or Pennsylvania • Today

Full-time

Senior Consultant - Applied AI & Machine Learning

3CLoud

Remote • Today

Full-time

USD 109,800.00 - 164,700.00 per year

Data Scientist III

Moffitt Cancer Center

Remote • Today

Full-time

USD 108,492.80 - 165,422.40 per year

Data Scientist III

GDH

Remote • 12d ago

Easy Apply

Contract, Third Party

Depends on Experience

Lead Specialist, AI Scientist

Pearson

Remote • Today

Full-time

USD 150,000.00 - 190,000.00 per year

Sr Generative AI Scientist II - (Model Risk & Validation)

Cotiviti

Remote • Today

Full-time

USD 145,000.00 - 170,000.00 per year

Lead AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Senior AI/ML Engineer

Booz Allen Hamilton

Dayton, Ohio • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Lead Algorithm & Signal Processing Engineer

STR

Dayton, Ohio • Today

Full-time

USD 157,000.00 - 220,000.00 per year

AI Engineer Tech Lead

NTT DATA Americas, Inc

Remote • 24d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior AI Developer (Palantir AI Platform)

Vaco by Highspring

Remote • Today

Easy Apply

Full-time

Depends on Experience

Gen AI Engineer/Lead

Factspan Inc

Remote • 18d ago

Easy Apply

Full-time

Depends on Experience

AI Engineer Tech Lead

NTT DATA, Inc.

Remote or Dallas, Texas • Today

Full-time

Sr AI/ML Engineer with Medical Imaging

People Force Consulting Inc

Remote • Today

Easy Apply

Third Party, Contract

Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote

DivIHN Integration Inc.

Remote • 7d ago

Easy Apply

Third Party, Contract

$51 - $55

Sr. Manager Data Science - Gen AI and Content Systems

Reed Elsevier Technology Services

Remote or Raleigh, North Carolina • Today

Full-time

USD 118,300.00 - 219,800.00 per year

Sr. Manager Data Science - Gen AI and Content Systems

LexisNexis

Remote or Raleigh, North Carolina • Today

Full-time

USD 118,300.00 - 219,800.00 per year

Senior Solutions Architect - AI/ML - Services Delivery

Snowflake Inc.

Remote or North Carolina • Today

Full-time

USD 160,000.00 - 210,000.00 per year

Senior ML Ops Engineer

Mitchell Martin, Inc.

Remote • 25d ago

Easy Apply

Full-time, Third Party

$105000 - $150000

Senior AI Engineer

The Chemours Company

Remote • Today

Full-time

USD 126,067.00 - 196,980.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Senior AI Developer

BG Workforce Solutions

Remote • 7d ago

Easy Apply

Full-time

175000 - 225000

Senior Machine Learning Engineer

Clover Health

Remote • Today

Full-time

USD 150,000.00 - 200,000.00 per year

Sr. Machine Learning Engineer (Data Science)

Quantiphi Inc.

Remote • Today

Full-time

Job Details

Skills

Advanced Analytics
Health Informatics
Innovation
Deep Learning
Business Requirements Gathering
IT Risk
HEDIS
Finance
Performance Monitoring
Algorithms
Operational Efficiency
Cost Control
Data Cleansing
Collaboration
KPI
Dashboard
Decision-making
Leadership
Predictive Modelling
Regulatory Compliance
Privacy
HIPAA
Data Integrity
Documentation
Mathematics
Computer Science
Data Science
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Databricks
Snow Flake Schema
Natural Language Processing
Generative Artificial Intelligence (AI)
Prompt Engineering
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Evaluation
Risk Management
Statistical Models
Machine Learning (ML)
Predictive Analytics
Python
R
Data Manipulation
Data Visualization
SQL
Statistics
Linear Regression
Emerging Technologies
Large Language Models (LLMs)
Natural Language
Named-Entity Recognition (NER)
Modeling
Text Classification
Data Extraction
Forms
Invoices
Optical Character Recognition
API
Pharmacy
Electronic Health Record (EHR)
Health Information Exchange
Utilization Management
Health Care
Data Analysis
Optimization
Artificial Intelligence
Analytical Skill
Problem Solving
Conflict Resolution
Critical Thinking
Project Management
Communication
Presentations
Research
System Integration Testing
Training
Partnership
Brand

Advanced Analytics
Health Informatics
Innovation
Deep Learning
Business Requirements Gathering
IT Risk
HEDIS
Finance
Performance Monitoring
Algorithms
Operational Efficiency
Cost Control
Data Cleansing
Collaboration
KPI
Dashboard
Decision-making
Leadership
Predictive Modelling
Regulatory Compliance
Privacy
HIPAA
Data Integrity
Documentation
Mathematics
Computer Science
Data Science
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Databricks
Snow Flake Schema
Natural Language Processing
Generative Artificial Intelligence (AI)
Prompt Engineering
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Evaluation
Risk Management
Statistical Models
Machine Learning (ML)
Predictive Analytics
Python
R
Data Manipulation
Data Visualization
SQL
Statistics
Linear Regression
Emerging Technologies
Large Language Models (LLMs)
Natural Language
Named-Entity Recognition (NER)
Modeling
Text Classification
Data Extraction
Forms
Invoices
Optical Character Recognition
API
Pharmacy
Electronic Health Record (EHR)
Health Information Exchange
Utilization Management
Health Care
Data Analysis
Optimization
Artificial Intelligence
Analytical Skill
Problem Solving
Conflict Resolution
Critical Thinking
Project Management
Communication
Presentations
Research
System Integration Testing
Training
Partnership
Brand

Summary

Job Summary:

The Applied AI Scientist III is responsible for the development and application of cutting-edge advanced analytics solutions using emerging Artificial Intelligence (AI) technologies such as Agentic AI, Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Natural Language Processing (NLP) and Generative AI solutions to enhance healthcare operations, patient care, and overall health plan performance and efficiency. This position requires a highly skilled AI expert capable of delivering complex data science projects independently while guiding other data scientists through technical expertise and code reviews.

Essential Functions:

Evaluate emerging technology in LLMs, NLP, Generative AI, and healthcare informatics, integrating these advancements into the projects to drive continuous innovation.
Utilize NLP algorithms and other deep learning techniques to process and analyze unstructured healthcare data, such as clinical notes, patient feedback, and medical literature, to extract meaningful insights.
Lead development from prototype through production in partnership with engineering/architecture.
Co-own operational readiness (evaluation, monitoring requirements, documentation, safeguards) and support post-release tuning of Generative AI solutions (such as prompt engineering and RAG).
Lead initiatives specializing in NLP and predictive analytics, ensuring the successful delivery of projects that align with organizational goals.
Work closely with interdisciplinary teams across IT, risk adjustment, program integrity, HEDIS, healthcare operations, finance, and clinical departments to identify and capitalize on opportunities for data-driven innovative solutions using cutting-edge emerging technologies.
Develop and implement predictive models, algorithms, and statistical techniques to extract insights from large and complex healthcare datasets.
Define and execute evaluation strategies for ML and LLM solutions, including quality metrics, bias and safety checks, and performance monitoring after deployment.
Utilize machine learning algorithms to identify patterns, trends, and opportunities for improving operational efficiency, cost containment, and patient care.
Conduct rigorous data analysis, including data cleansing, feature engineering, and exploratory data analysis, to derive meaningful insights and actionable recommendations.
Collaborate with stakeholders to define key performance indicators (KPIs), develop metrics, and create dashboards and reports that effectively communicate insights and support decision-making.
Provide strategic guidance and recommendations to senior leadership based on data analysis and predictive modeling results.
Ensure compliance with data privacy and security regulations, including HIPAA and PHI handling as applicable and maintain the highest standards of data integrity, model governance, and documentation.
Lead cross-functional projects with occasional light project management across teams to deliver results.
Represent the department in project meetings and other meetings that require subject matter knowledge and input.
Perform any other job related duties as requested.

Education and Experience:

Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required
Master's or PhD degree preferred
Equivalent years of relevant work experience may be accepted in lieu of required education
Five (5) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations required
One (1) year of experience in the healthcare industry required
One (1) year of experience with cloud services (such as Azure, AWS or Google Cloud Platform) and modern data stack (such as Databricks or Snowflake) required
One (1) year of experience in development and deployment of an NLP and Generative AI solution in the healthcare industry required

Competencies, Knowledge and Skills:

Familiarity with Agentic AI, LLM architecture, prompt engineering, RAG, and evaluation metrics
Familiarity with MLOps and LLMOps practices such as CI/CD, model registry, experiment tracking, automated evaluation, monitoring, and reproducible pipelines
Understanding of model risk management, AI governance, and responsible AI
Strong expertise in statistical modeling, machine learning techniques, and predictive analytics tools such as Python, or R
Expert in data manipulation, data visualization, and SQL for data extraction and analysis
Ability to perform advanced statistical analysis and modeling such as linear and non-linear regression, sampling, and Markov chains
Expertise in emerging technologies and tools such as large language models, natural language understanding, sentiment analysis, named entity recognition, topic modeling, and text classification
Expertise in Optical Character Recognition (OCR) technologies, including data extraction from scanned documents, forms, and invoices, and proficiency in OCR tools and libraries
Familiarity with web app and API development and deployment in production environment
Detailed knowledge of healthcare data, including medical and pharmacy claims, EMR data, HIE data, UM data, and demographic and population data
Knowledge of healthcare operations, payer and provider models, and industry trends
Proficient in feature engineering techniques and exploratory data analysis
Knowledge of optimization techniques and artificial intelligence methods
Excellent analytical, problem-solving, and critical-thinking skills, with the ability to translate complex data into actionable insights
Strong project management skills, with the ability to lead and prioritize multiple projects simultaneously in a fast-paced environment
Excellent written and verbal communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
Comfortable reading academic research papers and applying them in the models

Licensure and Certification:

None

Working Conditions:

General office environment; may be required to sit or stand for extended periods of time
Up to 15% (occasional) travel to attend meetings, trainings, and conferences may be required

Compensation Range:
$94,100.00 - $164,800.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.

Compensation Type (hourly/salary):
Salary

Organization Level Competencies

Fostering a Collaborative Workplace Culture
Cultivate Partnerships
Develop Self and Others
Drive Execution
Influence Others
Pursue Personal Excellence
Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
#LI-GB1

Brand=CareSource

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX11f1ed
Position Id: 7c7856a187cfc3de09432c160317aab0
Posted 30+ days ago

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Remote or Dayton, Ohio

•

Today

Job Summary: The Director, Model Engineering & Operations is responsible for leading the strategy, development, implementation, and optimization of enterprise AI and machine learning solutions that support core health plan operations and business objectives. This role provides leadership for the design and delivery of scalable, secure, and compliant AI/ML platforms and production systems, while overseeing the end-to-end machine learning lifecycle. The Director leads a team of machine learning e

Full-time

USD 135,600.00 - 237,400.00 per year

Sr Data Scientist- Generative AI

Columbus, Ohio

•

Today

Job Description Join a team where innovation meets impact. As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) systems, AI agents, and intelligent automation capabilities. You will work across business, technology, risk, and compliance teams to deliver responsible, scalable, and production-ready GenAI solutions that improve

Full-time

USD 124,000.00 - 165,000.00 per year

Sr. Data Scientist (Causal Inference & Experimentation)

Cincinnati, Ohio

•

5d ago

Duration: 12+ Months (Contract-to-Hire)Location: Cincinnati, OH (Onsite 5 Days/Week)Candidates willing to relocate within the first 2 months will be considered. Job Summary: o Seeking a Senior Data Scientist to develop and scale AI and advanced analytics solutions focused on experimentation, causal inference, and customer insights. The ideal candidate will have expertise in statistical modeling, econometrics, Generative AI, and production machine learning while partnering with cross-functional

Easy Apply

Contract

70 - 75

Senior Applied AI Engineer

Remote

•

Today

Omada Health is on a mission to bend the curve of chronic disease. Job overview: Omada Health is a digital care provider that empowers individuals to reach their health goals through sustainable behavioral change. Exceptional software with targeted AI applications is essential for delivering effective care at a broad scale. As a Senior AI Engineer at Omada, you will lead the deployment of sophisticated AI models and applications using state-of-the-art tools and platforms. This is a critical ro

Full-time

USD 200,560.00 - 250,700.00 per year