Astronomers

**Job Description**

**Job Summary**

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

**Job Duties**

• **Data Analysis and Interpretation:** Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.

• **Machine Learning Model Development:** Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.

• **Agentic Workflows Implementation:** Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.

• **RAG Pattern Utilization:** Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.

• **Model Fine-Tuning:** Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.

• **Data Cleaning and Preprocessing:** Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.

• **AI Model Deployment and Monitoring:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.

• **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.

• **Research and Development:** Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.

• **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.

**Job Qualifications**

**REQUIRED EDUCATION:**

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

**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**

• 3+ years’ work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered

• Knowledge of big data technologies (e.g., Hadoop, Spark

• Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.

• Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.

• Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.

• RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.

• Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.

• Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.

• Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.

**PREFERRED EDUCATION:**

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

**PREFERRED EXPERIENCE:**

• Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.

• Familiarity with natural language processing (NLP) and computer vision techniques.

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: $88,453 - $206,981 / ANNUAL

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

**Job Description**

**Job Summary**

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

**Job Duties**

• Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.

• Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.

• Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.

• RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.

• Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.

• Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.

• AI Model Deployment and Monitoring: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.

• Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.

• Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.

• Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.

• 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.

**Job Description**

**Job Summary**

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

**Job Duties**

• Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.

• Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.

• Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.

• RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.

• Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.

• Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.

• AI Model Deployment and Monitoring: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.

• Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.

• Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.

• Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.

• 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.

**Job Description**

**Job Summary**

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

**Job Duties**

• Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.

• Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.

• Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.

• RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.

• Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.

• Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.

• AI Model Deployment and Monitoring: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.

• Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.

• Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.

• Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.

• 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.

**Job Description**

**Job Summary**

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

**Job Duties**

• Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.

• Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.

• Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.

• RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.

• Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.

• Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.

• AI Model Deployment and Monitoring: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.

• Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.

• Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.

• Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.

• 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.

**Job Description**

**Job Summary**

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

**Job Duties**

• **Data Analysis and Interpretation:** Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.

• **Machine Learning Model Development:** Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.

• **Agentic Workflows Implementation:** Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.

• **RAG Pattern Utilization:** Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.

• **Model Fine-Tuning:** Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.

• **Data Cleaning and Preprocessing:** Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.

• **AI Model Deployment and Monitoring:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.

• **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.

• **Research and Development:** Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.

• **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.

**Job Qualifications**

**REQUIRED EDUCATION:**

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

**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**

• 3+ years’ work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered

• Knowledge of big data technologies (e.g., Hadoop, Spark

• Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.

• Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.

• Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.

• RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.

• Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.

• Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.

• Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.

**PREFERRED EDUCATION:**

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

**PREFERRED EXPERIENCE:**

• Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.

• Familiarity with natural language processing (NLP) and computer vision techniques.

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: $88,453 - $206,981 / ANNUAL

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

**Summary:**

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We’re building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user’s intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action.

**Required Skills:**

Research Scientist - CTRL Labs Responsibilities:

1. Research and develop Deep Learning or other computational models

2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets

3. Set technical direction for a project of 2-3 researchers and engineers

4. Help transition and deliver our work from research into product

5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

**Minimum Qualifications:**

Minimum Qualifications:

6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics

8. Experience with developing machine learning models at scale from inception to business impact

9. Programming experience in Python and hands-on experience with frameworks such as PyTorch

10. Exposure to architectural patterns of large scale software applications

11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

**Preferred Qualifications:**

Preferred Qualifications:

12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP)

13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

14. Experience bringing machine learning-based products from research to production

**Public Compensation:**

$177,000/year to $251,000/year + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**Job Description**

**Job Summary**

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

**Job Duties**

• Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.

• Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.

• Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.

• RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.

• Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.

• Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.

• AI Model Deployment and Monitoring: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.

• Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.

• Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.

• Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.

• 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.

**Job Description**

**Job Summary**

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

**Job Duties**

• **Data Analysis and Interpretation:** Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.

• **Machine Learning Model Development:** Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.

• **Agentic Workflows Implementation:** Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.

• **RAG Pattern Utilization:** Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.

• **Model Fine-Tuning:** Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.

• **Data Cleaning and Preprocessing:** Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.

• **AI Model Deployment and Monitoring:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.

• **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.

• **Research and Development:** Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.

• **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.

**Job Qualifications**

**REQUIRED EDUCATION:**

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

**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**

• 3+ years’ work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered

• Knowledge of big data technologies (e.g., Hadoop, Spark

• Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.

• Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.

• Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.

• RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.

• Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.

• Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.

• Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.

**PREFERRED EDUCATION:**

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

**PREFERRED EXPERIENCE:**

• Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.

• Familiarity with natural language processing (NLP) and computer vision techniques.

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: $88,453 - $206,981 / ANNUAL

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

**Job Description**

**Job Summary**

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

**Job Duties**

• **Data Analysis and Interpretation:** Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.

• **Machine Learning Model Development:** Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.

• **Agentic Workflows Implementation:** Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.

• **RAG Pattern Utilization:** Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.

• **Model Fine-Tuning:** Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.

• **Data Cleaning and Preprocessing:** Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.

• **AI Model Deployment and Monitoring:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.

• **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.

• **Research and Development:** Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.

• **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.

**Job Qualifications**

**REQUIRED EDUCATION:**

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

**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**

• 3+ years’ work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered

• Knowledge of big data technologies (e.g., Hadoop, Spark

• Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.

• Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.

• Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.

• RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.

• Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.

• Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.

• Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.

**PREFERRED EDUCATION:**

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

**PREFERRED EXPERIENCE:**

• Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.

• Familiarity with natural language processing (NLP) and computer vision techniques.

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: $88,453 - $206,981 / ANNUAL

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