Data Scientist jobs at Humana

**Become a part of our caring community and help us put health first** The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence. We are seeking a Lead Data Scientist to define and drive the new frontier of AI-Human interaction. You will lead the design of adaptive, human-aware AI systems that learn form, respond to, and collaborate with humans in real-world environments. This role blends cutting-edge research, robust experimentation, and product-focused execution to improve user trust, alignment, usability, and agent cooperation across intelligent interfaces. **Key** **R** **esponsibilities** + Develop and own ML pipelines for evaluating and improving human-AI interaction across modalities (text, speech, UI/UX feedback, behavioral signals) + Design adaptive models for intent recognition, dialog state tracking, preference learning, and multi-turn personalization + Lead human-in-the-loop data collection strategies and feedback integration to fine-tune agent behaviors + Partner with UX, engineering, and safety teams to embed explainability, user control, and alignment into AI systems + Develop and monitor human-centered evaluation metrics (e.g., helpfulness, latency, trust calibration, long-term engagement) + Construct causal inference and A/B testing to assess impact of interaction strategies on behavior and outcomes + Mentor a team of data scientists and collaborate with AI researchers and product leaders on foundational interaction improvements + Experience in creating reports, projections, models, and presentations to executives **Technical skills** + Proficiency in SQL, Python, and data analysis/data mining tools. + Experience with machine learning frameworks like Pytorch, JAX, LangChain, or LangGraph + Experience with high performance, large-scale ML systems + Experience with language modeling with transformers + Experience designing human-centered evaluation protocols, metrics, and pipelines + Experience with +5 years of experience in applied ML, with at least 3+ in conversational AI, human-in-the-loop systems, or agent UX optimization + Experience with large-scale ETL **Use your skills to make an impact** **Required Qualifications** + Master's Degree and 4+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions + 2+ years of experience leading development of AI/ML systems + Proven track record building production-grade AI models with strong UX and behavioral outcomes + Expertise in supervised learning, reinforcement learning from human feedback (RLHF), or preference modeling + Strong communication skills with ability to bridge data science, product, and engineering **Preferred Qualifications** + Ph.D. in in Machine Learning, Human-Computer Interaction, Cognitive Science, NLP, or related field + LLM-based agent or copilot systems (e.g., OpenAI GPT agents, Claude, Gemini, Mistral, open-agent frameworks) + Experience working with voice assistants, AR/VR interfaces, or embodied agents + Familiarity with ethical considerations and safety alignment in interactive systems + Contributions to human-AI interaction research or open-source tools **Additional Information** **Location/Work Style:** Remote US **Why Humana?** At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few: + Work-Life Balance + Generous PTO package + Health benefits effective day 1 + Annual Incentive Plan + 401K - Excellent company match + Well-being program + Paid Volunteer Time Off If you share our passion for helping people, we likely have the right place for you at Humana. **Work at Home Guidance** To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: + At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested + Satellite, cellular and microwave connection can be used only if approved by leadership + Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. + Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. + Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information **SSN Alert Statement** Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from ******************** with instructions on how to add the information into your official application on Humana's secure website. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $142,300 - $195,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 12-18-2025 **About us** Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ***************************************************************************

Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience. **Job Duties** - **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. - **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements. - **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization - **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. - **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes. - **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 10+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - **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:** PHD or additional experience **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. \#PJCorp2 \#LI-AC1 To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $117,731 - $275,491 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

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. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 6+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - 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:** PHD or additional experience **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. To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $107,028 - $250,446 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience. **Job Duties** - **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. - **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements. - **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization - **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. - **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes. - **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 10+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - **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:** PHD or additional experience **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. \#PJCorp2 \#LI-AC1 To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $117,731 - $275,491 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

**Become a part of our caring community and help us put health first** The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence. We are building advanced agentic systems capable of autonomously managing and decomposing complex goals. We are seeking an expert in agent design, planning, and control to develop and evaluate agents that can set, adapt, and execute goals in dynamic, real-world environments. You'll contribute to the scientific and engineering foundations that make AI agents reliable, interpretable, and robust across long-horizon tasks. **Key** **R** **esponsibilities** + Architect goal setting and goal decomposition mechanisms for autonomous agents operating in uncertain or open-ended environments + Design and implement dynamic planning systems (e.g., hierarchical planning, curriculum learning, scratchpad/self-refinement loops) + Collaborate on memory, tool-use, and feedback-loop designs enabling multi-step, self-directed agent behavior + Develop evaluation frameworks for alignment with human intent, consistency, progress against long-horizon objectives + Prototype agents that interface with APIs, MCP servers, search engines, databases, or real-world actuators to pursue goals safely and efficiency + Explore mechanisms to detect and mitigate goal misalignment, looping behavior, or undesirable emergent strategies + Work across teams to integrate goal alignment with safety, alignment, and operational reliability mechanisms **Technical skills** + Proficiency in SQL, Python, and data analysis/data mining tools. + Experience with machine learning frameworks like Pytorch, Jax, LangChain, LangGraph or AutoGen + Experience with high performance, large-scale ML systems + Experience with language modeling with transformers + Experience with symbolic planning, causal reasoning, and model-based RL + Experience with large-scale ETL **Use your skills to make an impact** **Required Qualifications** + Master's Degree and 4+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions + 2+ years of experience leading development of AI/ML systems **Preferred Qualifications** + Ph.D. in Computer Science, Data Science, Machine Learning, or a related field + Demonstrated experience shipping autonomous, or semi-autonomous agents in production or simulation + Experience with LLM-based agents with scratchpad/self-reflection or hierarchical task decomposition + Understanding of autonomy risk mitigation strategies, including off-switch protocols, or bounded rationality **Additional Information** **Location/Work Style:** Remote US **Why Humana?** At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few: + Work-Life Balance + Generous PTO package + Health benefits effective day 1 + Annual Incentive Plan + 401K - Excellent company match + Well-being program + Paid Volunteer Time Off If you share our passion for helping people, we likely have the right place for you at Humana. **Work at Home Guidance** To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: + At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested + Satellite, cellular and microwave connection can be used only if approved by leadership + Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. + Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. + Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information **SSN Alert Statement** Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from ******************** with instructions on how to add the information into your official application on Humana's secure website. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $142,300 - $195,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 12-18-2025 **About us** Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ***************************************************************************

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. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 6+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - 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:** PHD or additional experience **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. To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $107,028 - $250,446 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience. **Job Duties** - **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. - **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements. - **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization - **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. - **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes. - **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 10+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - **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:** PHD or additional experience **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. \#PJCorp2 \#LI-AC1 To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $117,731 - $275,491 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience. **Job Duties** - **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. - **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements. - **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization - **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. - **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes. - **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 10+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - **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:** PHD or additional experience **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. \#PJCorp2 \#LI-AC1 To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $117,731 - $275,491 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

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. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 6+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - 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:** PHD or additional experience **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. To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $107,028 - $250,446 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

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. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 6+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - 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:** PHD or additional experience **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. To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $107,028 - $250,446 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience. **Job Duties** - **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. - **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements. - **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization - **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. - **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes. - **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 10+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - **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:** PHD or additional experience **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. \#PJCorp2 \#LI-AC1 To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $117,731 - $275,491 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience. **Job Duties** - **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. - **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements. - **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization - **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. - **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes. - **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 10+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - **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:** PHD or additional experience **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. \#PJCorp2 \#LI-AC1 To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $117,731 - $275,491 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience. **Job Duties** - **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. - **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements. - **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization - **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. - **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes. - **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 10+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - **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:** PHD or additional experience **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. \#PJCorp2 \#LI-AC1 To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $117,731 - $275,491 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

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. - Mentors, coaches, and provides guidance to newer data scientists. - Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. - Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate - Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. - Use a broad range of tools and techniques to extract insights from current industry or sector trends **Job Qualifications** **REQUIRED EDUCATION:** Master's Degree in Computer Science, Data Science, Statistics, or a related field **REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:** - 6+ 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) - Familiar with relational database concepts, and SDLC concepts - Demonstrate critical thinking and the ability to bring order to unstructured problems - 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:** PHD or additional experience **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. To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $107,028 - $250,446 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

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. • Mentors, coaches, and provides guidance to newer data scientists. • Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. • Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate • Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. • Use a broad range of tools and techniques to extract insights from current industry or sector trends Job Qualifications REQUIRED EDUCATION: Master's Degree in Computer Science, Data Science, Statistics, or a related field REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES: • 6+ 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) • Familiar with relational database concepts, and SDLC concepts • Demonstrate critical thinking and the ability to bring order to unstructured problems • 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: PHD or additional experience 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. To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

**Become a part of our caring community and help us put health first** Humana is seeking a Senior Responsible AI Data Scientist to champion the ethical development of artificial intelligence across our organization. This is a highly cross-functional position requiring deep technical expertise in AI and machine learning and a passion for advancing Responsible AI initiatives through collaboration with diverse stakeholders across the enterprise, including legal, compliance, education, and IT. In this role, you will contribute to both research and development (R&D) and software development efforts while supporting the implementation of scalable frameworks for ethical, transparent, fair, and organizationally-aligned AI solutions. You will help ensure that our AI systems are innovative, high-impact, and always guided by Humana's core values and regulatory standards. **Key Responsibilities** + Support initiatives to ensure responsible use of AI across the enterprise, including model risk assessments, fairness evaluations, and compliance with ethical and regulatory standards. Champion transparency, accountability, and trust in all AI and data science practices. + Drive and contribute to R&D efforts to advance innovative, high-impact, and ethically-grounded AI solutions in healthcare. + Design and implement processes, tools, and frameworks for the evaluation, monitoring, and documentation of AI systems to ensure ongoing compliance with ethical and regulatory standards. + Stay current with emerging research, regulations, and industry best practices in Responsible AI, translating learnings into actionable recommendations for Humana's AI ecosystem. + Partner cross-functionally with legal, compliance, IT, education, and other teams to operationalize Responsible AI principles throughout the organization. + Support and help evolve Humana's Responsible AI governance initiatives, policies, and standards. + Serve as an internal consultant and subject matter expert on Responsible AI topics such as fairness, transparency, privacy, safety, and risk mitigation. + Facilitate Responsible AI education and awareness initiatives, including the development of training materials and guidance for technical and non-technical stakeholders. **Use your skills to make an impact** **Required Qualifications** + Bachelor's degree with 5+ years of experience, Master's degree with 3+ years of experience, or PhD in a quantitative field. + Proficiency in development of Python software tools and applications for data scientists. + Demonstrated proficiency in applying software development best practices, including code versioning, testing, documentation, and secure coding standards + Extensive hands-on experience developing and deploying Generative AI and traditional machine learning applications at scale + Experience with analysis of structured and unstructured data, and building end-to-end analytical workflows. + Demonstrated experience developing tools, frameworks, or processes that operationalize Responsible AI principles (e.g., fairness, transparency, privacy, safety, accountability) in real-world projects. + Proven ability to collaborate with cross-functional teams to address complex governance challenges. + Excellent communication skills, with the ability to convey technical and ethical considerations to non-technical stakeholders. **Preferred Qualifications** + Prior experience working in healthcare, health tech, or highly regulated industries. + Record of publication or thought leadership in Responsible AI or related fields. **Additional Information** **Location/Work Style:** Remote US **Why Humana?** At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few: + Work-Life Balance + Generous PTO package + Health benefits effective day 1 + Annual Incentive Plan + 401K - Excellent company match + Well-being program + Paid Volunteer Time Off If you share our passion for helping people, we likely have the right place for you at Humana. **Work at Home Guidance** To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: + At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested + Satellite, cellular and microwave connection can be used only if approved by leadership + Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. + Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. + Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information **SSN Alert Statement** Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from ******************** with instructions on how to add the information into your official application on Humana's secure website. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $117,600 - $161,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 12-29-2025 **About us** Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ***************************************************************************

This role is responsible for leveraging your expertise in data analytics, advanced statistical methods, and programming to derive insights from clinical data. As a member of the Enterprise Data Science team, this role will be responsible for analyzing complex clinical datasets, developing data visualizations and dashboards, assisting with data model and/or feature development, and translating insights into actionable recommendations for improving patient care and operational outcomes. Responsibilities: Collaborate with cross-functional teams including clinical leaders, data scientists, and software engineers to identify data-driven opportunities for enhancing clinical processes and patient care. Utilize cloud-based technologies, such as Google Cloud Platform (GCP), for scalable data processing and analysis. Develop easily consumable dashboards from complex clinical and operational data to provide visualizations derived from best practices and data consumption theory that drive healthcare and business performance. Implement best practices for data management, including data quality assessment, data validation, and data governance. Utilize Python programming and associated libraries such as PyTorch, Keras, Pandas and NumPY to create, train, test and implement meaningful data science models. Lead the analysis of operational data to identify patterns, trends, and correlations relevant to healthcare outcomes. Collaborate with healthcare professionals and domain experts to understand operational needs and design data-driven solutions. Design and conduct experiments, interpret results, and communicate findings to both technical and non-technical stakeholders Requirements: Master's degree in Data Science, Data Analytics, Computer Science, or a related field. Proven experience in analyzing complex healthcare data and building customer facing dashboards and data visualizations. Proficiency in Python programming and associated libraries. Experience with cloud-based platforms such as Google Cloud Platform (GCP) for data storage, processing, and deployment. Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced environment. Excellent communication and presentation skills with the ability to translate technical concepts to non-technical audiences.

We are seeking a highly specialized and experienced Enterprise Data Scientist to drive data quality, standardization, and insight generation across our core Oracle operational suite. This role serves as the authoritative expert on translating complex, high-volume data from Oracle Supply Chain Management (SCM), Oracle Procurement, Oracle Revenue Cycle Management (RCM), and Oracle Inventory into actionable business intelligence. The successful candidate will be focused on ensuring absolute data integrity-a critical function in a regulated healthcare environment-and transforming raw transactional data into high-value operational reports, interactive dashboards, and predictive models that optimize cost-per-case, enhance inventory accuracy, and accelerate the revenue cycle. Essential Functions 1. Data Validation, Integrity, and Compliance (Critical Focus) Healthcare Data Quality Assurance: Design and implement automated data validation frameworks specific to healthcare operations, ensuring transactional data (e.g., supply usage, procedure charging, contract pricing) is accurate. Compliance Verification: Develop reports and monitoring tools to detect anomalies and discrepancies that could impact regulatory reporting, financial audits (e.g., SOX implications), or compliance with GPO contracts and payer rules. Revenue Leakage Identification: Specifically focus on validating the link between inventory consumption (SCM) and patient billing (RCM) data to prevent charge capture errors, ensuring accurate patient bills and maximizing appropriate reimbursement. Root Cause Analysis: Investigate and diagnose data errors originating in Oracle system configurations (EBS or Fusion), ensuring the integrity of critical data points like item master definitions, vendor codes, and pricing tiers. 2. Standardized Operational Analytics and Reporting KPI Development (Healthcare Specific): Define, standardize, and institutionalize critical operational metrics across the organization, such as: Inventory Accuracy Rate for Critical Supplies Procurement Compliance Rate (Off-Contract Spend) Days of Supply (DOS) for high-value pharmaceuticals and implants Cost-Per-Case Variance analysis (linking supply cost to procedure type) Claims Denial Rate Analysis linked to operational inputs High-Value Reporting: Develop and maintain standardized operational reports and interactive dashboards (e.g., Tableau, Power BI) focused on optimizing the efficiency and spend within the OR, Clinics, and centralized purchasing departments. Executive Insights: Create visually compelling and accurate reports for executive leadership on the overall health and financial performance driven by Oracle system outputs. 3. Advanced Modeling and Process Optimization Predictive Inventory Modeling: Develop sophisticated models to forecast demand volatility (e.g., flu season spikes, pandemic-related surges) for critical supplies and pharmaceuticals, minimizing shortages and excess waste. Revenue Cycle Modeling: Build predictive models to forecast cash flow, anticipate denials based on procurement/charging patterns, and prioritize RCM work queues based on expected return. Efficiency Optimization: Utilize machine learning techniques to optimize logistics (e.g., warehouse routing, supply replenishment schedules) and procurement processes (e.g., automated purchase order generation based on consumption velocity). 4. Collaboration and System Expertise Serve as the technical data expert for functional Oracle teams (Finance, Clinical Operations, Materials Management), bridging the gap between business needs and data structure. Document data lineage, metric definitions, and model methodologies to ensure transparency and trust in derived insights across the enterprise. Required Qualifications: Education: Master's degree in Data Science, Health Informatics, Statistics, Industrial Engineering, or a related quantitative field. Experience: 2+ years of experience in a specialized data science, BI, or analytics role, working within a large healthcare system, hospital, or payer environment. Deep Oracle Domain Expertise (Mandatory): Proven practical experience analyzing, querying, and understanding the complex data models within at least two of the following Oracle applications (EBS or Fusion): Oracle Supply Chain Management (SCM) & Inventory: Specific understanding of item masters, warehouse transactions, and consumption data. Oracle Procurement: Expertise in purchase order data, contract management, and vendor performance metrics. Oracle Revenue Cycle Management (RCM): Understanding of charge capture, billing, and the data linkage to operational inputs. Technical Proficiency: Expert-level SQL skills for complex database querying, including experience navigating Oracle tables/views. Proficiency in Python or R, with experience in statistical modeling, time series analysis, and machine learning libraries. Experience developing advanced visualizations using industry-leading tools (Tableau, Power BI). Demonstrable experience working with large-scale Enterprise Data Warehouses (EDW) in a regulated environment. Preferred Skills and Attributes Familiarity with clinical coding standards (CPT, ICD-10) as they relate to procedure costing and RCM data. Understanding of HIPAA, HITECH, and general healthcare data governance standards. Experience with advanced analytics applied to surgical services or procedural areas. Excellent collaboration and communication skills, with the ability to present complex analytical findings to clinical and executive audiences. Certification in Oracle applications or cloud platforms is a plus.

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: Designs and develops of scalable solutions using AI tools and machine-learning models. Performs research and testing to develop machine learning algorithms and predictive models. Utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions. Leads model brainstorming conversations with new potential internal customers interested in AI/ML capabilities Leads the design, development, and research around complex AI/ML models to apply appropriate datasets for data modeling and statistical analysis Works alongside internal customers that are requesting AI/ML capabilities to understand overall business objective & impact when requesting an AI/ML model Analyzes use cases of ML algorithms and apply findings to enable business decisions by deriving insights through data visualization Writing complex SQL and Python/R code to extract data from a variety of databases and data sources Explores and visualizes data to gain an understanding of it and verify data quality, and/or ensure data quality via data cleaning Conduct exploratory data analysis from complex data sources and build key data sets to support company mission operational analysis. Builds complex ML/AI models using common methods within R and Python Analyzes the ML algorithms that could be used to solve a given problem and rank them by their success probability Analyzes errors of the model and design strategies to overcome errors Develop logging, alerting, and mitigation strategies for handling model errors Development of AI/ML models to distinguish relevant content or events and recognize patterns Designs and develops AI/ML models to predict member outcomes or future impact of key member decisions Evaluate and design experiments to monitor key model metrics and identify improvement opportunities Participate in presentations and communicate results of research analysis and findings to non-technical business partners Produces fairness review for each developed model, to ensure model is free of bias Set up continuous integration/continuous deployment (CI/CD) pipelines used for model automation Model deployment with containers such as Kubernetes and/or Docker Produce clean & readable code that has been properly unit tested and optimized for performance Completes proper deployment integration testing to ensure seamless deployment Maintains and supports AI/ML patterns by reviewing and solving issues and running ML/AI models Leads team-wide initiatives that help develop templates and define best practices to improve model building and deployment workflow (ex. Model drift detection) Performs other duties as assigned Complies with all policies and standards Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. 5+ years Intermediate knowledge & experience with SQL required. 5+ years Experience in developing Machine learning/AI/Predictive Models in R or Python required. 5+ years Intermediate knowledge of Git required. Experience using DataBricks platform preferred. Technical Skills: One or more of the following skills are desired. Experience with SQL (Programming Language) Experience with Machine Learning; Machine Learning Algorithms; Statistics Experience with Python (Programming Language); R (Programming Language) Knowledge of Continuous Integration; Software Engineering Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude Pay Range: $119,100.00 - $220,500.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act