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.

• 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.

\#PJCorp

\#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: $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.

\#PJCorp

\#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: $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.

\#PJCorp

\#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: $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.

\#PJCorp

\#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: $107,028 - $250,446 / ANNUAL

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

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Research Scientist Responsibilities:

1. Perform research and develop solutions to computer software and computer hardware problems.

2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms.

3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.

4. Utilize technical research background, train new ranking models, and run experiments.

5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.

6. Use machine learning, statistics, or other data techniques to build algorithms.

7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.

8. Analyze and resolve computer challenges from a system engineering standpoint.

9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

11. Telecommute from anywhere in the U.S.

12. permitted.

**Minimum Qualifications:**

Minimum Qualifications:

13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field

14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:

15. 1. Algorithms, data structures, or systems software

16. 2. Solving analytical problems using quantitative approaches

17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources

18. 4. Communicating complex research in a clear, precise, and actionable manner

19. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision

20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines

21. 7. Devising better data-driven models of human behavior

22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models

23. and 9. Java, C++, Perl, PHP, or Python

**Public Compensation:**

$232,652/year to $290,180/year + bonus + equity + 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.

The Scientist within the Research Department team will serve as a subject matter expert for various production composite propellants and liners. The individual will conduct and supervise projects involving formulating, raw ingredient testing, lab scale mixing, batch size scale up, propellant property testing, and data reduction/analysis.

The position will report to and take direction from the Director of Research but will also work closely with the cross-functional program teams to support production programs.

How you will be awarded as a Research Scientist – Rocket Propellants, Explosives and Pyrotechnics

• Monday-Thursday work week working four 10-hour days

• Off on Fridays

• Generous paid time off and Holiday Pay

• Medical, Dental and Vision Insurance

• 401(K), employee assistance programs, health savings account

Primary Responsibilities:

• Apply chemical principles to safely analyze and conduct experiments on propellants, pyrotechnics, and/or explosives to meet program requirements or to make production improvements.

• Develop and/or modify formulas, processes, procedures, and techniques to manufacture propellant.

• Develop methods and analyzes and to create tests compositions to understand and modify chemical, physical, mechanical, ballistic, and hazard properties.

• Establish optimal trade-off of propellant properties by modifying composition to achieve objectives.

• Serve as a principal investigator to resolve propellant production issues.

• Follow standard laboratory practices and safety procedures.

• Coordinate and schedule support work for other departments.

• Make oral presentations outlining/summarizing progress on selected projects and programs to both internal and external customers.

• Prepare technical reports detailing work progression and results.

• Provide labor, equipment, and material estimates for laboratory work required to support production projects.

• Assign/delegate work to technicians and junior chemists.

• Provide training to technicians to perform chemical weigh out, small scale propellant mixing, laboratory testing, mechanical property testing, and burn rate testing.

• Review results of experiments and analyses performed by other scientists or technicians.

• Perform Statistical Process Control charting and predictive modelling to identify propellant performance and/or property trends.

Job Qualifications:

• Proficient with Microsoft Office, Word, Excel, and Power Point.

• Experience with various lab instruments for analysis and testing of energetic materials.

• Working knowledge of energetic material regulations and safe handling/measurement.

• Ability to work effectively and communicate well with the cross-functional NDS Mesa Team.

• Must have a strong work ethic and be well organized to manage multiple projects simultaneously.

• Must be able to wear safety equipment such as respirators or self-contained breathing apparatus.

• Must be able to exert up to 50 lbs. of force in the course of normal work.

• Must have the ability to obtain and maintain ATF Processor license.

**Note**: Due to US Export Control laws and regulations; applicants selected for employment must show proof of a U.S. Person status before employment may begin.

**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.

\#PJCorp

\#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: $107,028 - $250,446 / ANNUAL

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

**Overview**

GovCIO is currently hiring foran ETL Engineer (or Data Scientist) to join our ETL Team focusedon designing, developing, and maintaining robust ETL pipelines and data infrastructure within AWS GovCloud environments. This position will be located in Hanover, MD and will be a fully remote position.

**Responsibilities**

Design, develop, and maintain robust ETL pipelines and data infrastructure within AWS GovCloud environments. You will work closely with cross-functional teams to ensure that data from a variety of sources is efficiently processed, analyzed, and visualized to monitor and optimize system performance. You will use a combination of AWS native services and open-source software to create scalable and high-performance data pipelines, manage complex data flows, and contribute to operational monitoring efforts across a large AWS environment.

Data Pipeline Development:

+ Design and implement Extract, Transform, Load (ETL) solutions to move, process, and store data from a wide range of sources, including AWS S3, CloudWatch, EventBridge, and other cloud-based services.

+ Leverage AWS services such as Lambda, Kinesis, and Data Prepper to create data pipelines that span multiple AWS accounts.

+ Use AWS CloudFormation to deploy and manage data pipeline infrastructure in an Infrastructure-as-Code (IaC) environment.

+ Deploy and manage CloudWatch alarms and synthetic canaries to ensure system health and proactively detect issues before they impact users.

Log Aggregation & Metrics Collection:

+ Deploy and configure Fluent-bit agents to collect system and application logs from hundreds of critical systems.

+ Develop custom Lua functions and regex parsers for transforming and routing logs as required.

Data Analysis, Visualization & Alerting:

+ Design and build data visualizations, dashboards, and alerts to monitor and detect anomalous system activity.

+ Design, implement, and maintain AWS CloudWatch alarms to monitor the health and performance of cloud applications, infrastructure, and services.

+ Configure notifications for alerts using Amazon SNS, and integrate with communication tools (e.g., Slack, email) to ensure timely awareness of critical issues.

+ Develop custom visualizations using Vega, create alerts using Query DSL and Painless scripting, and produce reports via OpenSearch SQL.

Cluster Management & Data Storage:

+ Manage and maintain an OpenSearch cluster to support large-scale data ingestion and querying.

+ Implement explicit mappings for fields being ingested into OpenSearch and manage index state management policies for optimal performance.

+ Use Active Directory Federated Services to implement access control and multi-tenancy within the OpenSearch environment.

Application Performance Monitoring:

+ Instrument diverse applications using OpenTelemetry for OpenSearch APM to ensure visibility into application performance.

**Qualifications**

HS Diploma with 9+ years' experience/professional

Required Skills and Experience

+ Clearance required: Top Secret

+ Must have IAT level II/III certification (i.e., CompTIA Security+(CE))

+ Must have experience and certifications in Linux and/or AWS GovCloud technologies

Preferred Skills and Experience

+ Strong experience with AWS services such as Lambda, Kinesis, CloudWatch, S3, EventBridge, and CloudFormation.

+ Proficiency in Python for developing and maintaining data pipelines.

+ Experience managing distributed NoSQL databases such OpenSearch, Elasticsearch, MongoDB or Splunk.

+ Experience deploying and configuring agents for log aggregation and system monitoring.

+ Knowledge of Infrastructure-as-Code (IaC) principles, particularly with AWS CloudFormation.

+ Effective written and oral communication skills

+ Certification(s) in relevant technologies

\#NSS

\#DL

\#NSS

\#AR

**Company Overview**

GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens.

But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer?

**What You Can Expect**

**Interview & Hiring Process**

If you are selected to move forward through the process, here’s what you canexpect:

+ During the Interview Process

+ Virtual video interview conducted via video with the hiring manager and/or team

+ Camera must be on

+ A valid photo ID must be presented during each interview

+ During the Hiring Process

+ Enhanced Biometrics ID verification screening

+ Background check, to include:

+ Criminal history (past 7 years)

+ Verification of your highest level of education

+ Verification of your employment history (past 7 years), based on information provided in your application

**Employee Perks**

At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including:

+ Employee Assistance Program (EAP)

+ Corporate Discounts

+ Learning & Development platform, to include certification preparation content

+ Training, Education and Certification Assistance*

+ Referral Bonus Program

+ Internal Mobility Program

+ Pet Insurance

+ Flexible Work Environment

*Available to full-time employees

Our employees’ unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience.

**We are an Equal Opportunity Employer.** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets.

**Posted Pay Range**

The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an “at-will position” and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors.

**Posted Salary Range**

USD $140,000.00 - USD $160,000.00 /Yr.

Submit a referral to this job (https://careers-govcio.icims.com/jobs/6353/technical-data-scientist-etl-engineer/job?mode=apply&apply=yes&in\_iframe=1&hashed=-1834385473)

**Location** _US-Remote_

**ID** _2025-6353_

**Category** _IT Infrastructure & Network Engineering & Operations_

**Position Type** _Full-Time_

**THIS POSITION IS FULLY REMOTE!**

**Position Objective:** The Infections of the Nervous Systems Section (INSS), NINDS require a Scientist to study and develop inhibitors to treat neurological diseases and oncogenic malignancies associated with HERV-K/HML-2 expression. The Scientist-advisor will analyze the genome for HML-2 elements and design inhibitors of viral proteins to investigate as therapeutics for the associated diseases. Additionally, the Scientist will design and optimize HIV protease inhibitors as positron emission tomography (PET) ligands to image HIV viral reservoirs. These experiments will be performed by the Scientist, other INSS lab members, and contract research organizations. The Scientist will design experiments, process all experimental data generated, and perform computational experiments and bioinformatic analyzes. The Scientist will also write funding proposals and manuscripts and present research findings at scientific conferences.

**Duties and Responsibilities:**

+ Perform, and guide/train others to perform, a variety of experimental procedures.

+ Computational generation of homology and AlphaFold models, ligand docking experiments, structure-based drug design, ligand optimization experiments.

+ Chemical synthesis of HERV-K/HML-2 and HIV inhibitors and characterization by NMR, mass spectrometry, and HPLC.

+ Analysis of compound pharmacokinetics and pharmacodynamics.

+ Bioinformatic analysis of the human genome for HML-2 elements and computational analysis of their translational capacity.

+ Biochemical assays for inhibitor identification and characterization: protein expression, high throughput screening (HTS), fluorescence-based protease activity assays, differential scanning fluorimetry (DSF), enzyme kinetics.

+ Cell culture, stable cell line generation, drug toxicity assays, cell death mechanism analysis, fluorescent imaging, Western blot, and qRT-PCR.

+ Viral propagation and titration; assays to measure antiviral activity of novel compounds.

+ Plasmid design and preparation, cold fusion cloning, and transfections.

+ Generation of solution (NMR) and X-ray crystal structures.

+ Analyze experimental findings.

+ Process data (background subtractions, normalizations, etc.) and display results using Microsoft Excel and GraphPad Prism.

+ Determine statistical significance.

+ Compare compound activity to computational models; refine models as appropriate.

+ Use _in vitro_ activity and structural data to develop structure activity relationships (SAR) and improve compound activity.

+ Research and refine drug formulation protocols.

+ Analyze pharmacokinetic and pharmacodynamic data; make modifications to improve drug absorption, distribution, metabolism, and excretion (ADME).

+ Examine the literature and compare findings with similar experiments and controls.

+ Evaluate experimental protocols and make modifications based on the data, scientific literature, practical experience, and resources available.

+ Share scientific findings with the Nath research group and general scientific community.

+ Keep an organized and updated laboratory notebook.

+ Prepare project progress reports and presentations to convey findings internally.

+ Prepare scientific publications for submission to peer-reviewed journals.

+ Present findings at local, national, and international meetings.

+ Collaborate on projects with other NIH laboratories and departments.

**Qualifications**

**Basic Qualifications:**

+ **8 years relevant experience with a bachelor’s degree. Relevant experience may be substituted for education:**

+ **4+ years’ experience with a PhD;**

+ **6+ years’ experience with an MA/MS degree;**

**Minimum Qualifications:**

+ **Ability to communicate effectively, orally and in writing, with non-technical and technical staff**

+ **Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects**

***This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.**

**To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.**

**GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at** **recruiting@gapsi.com** **. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.**

**Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.**

**Why USAA?**

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

**The Opportunity**

We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL.

Relocation assistance is **not** available for this position.

The **Senior Data Scientist - Fraud Identity Analytics** is responsible for development and implementation of quantitative solutions that improve USAA’s ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes:

+ Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts

+ Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities

+ Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes

+ Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits

+ Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience

+ Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance

+ Exports insights to decision systems to enable better fraud targeting and model development efforts

+ Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks

+ Collaborate with the broader analytics community to share standard methodologies and techniques

**What you'll do:**

+ Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.

+ Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.

+ Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.

+ Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.

+ Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.

+ Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.

+ Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.

+ Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.

+ Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation.

+ Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.

+ Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.

+ Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.

+ Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.

+ Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.

**What you have:**

+ Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.

+ 6 years of experience in a predictive analytics or data analysis

+ 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.

+ 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.

+ Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency).

+ Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.

+ Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.

+ Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.

+ Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.

+ Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.

+ Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.

+ Experience guiding and mentoring junior technical staff in business interactions and model building.

+ Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.

**What sets you apart:**

+ US military experience through military service or a military spouse/domestic partner

+ Graduate degree in a quantitative subject area

+ Over 4 years of experience with model development or other advanced fraud detection algorithms

+ Over 3 years of experience with graph databases and graph solutions

+ Experience in fraud/financial crimes model development

**Compensation:** The salary range for this position is: **$138,230 - $248,810.**

**USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).**

**Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

**Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

_Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._

_USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran._

**If you are an existing USAA employee, please use the internal career site in OneSource to apply.**

**Please do not type your first and last name in all caps.**

**_Find your purpose. Join our mission._**

USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity.

USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself – you just need to share our passion for serving our more than 13 million members.

USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.

California applicants, please review our HR CCPA - Notice at Collection (https://statmcstg.usaa.com/mcontent/static\_assets/Media/enterprise\_hr\_cpra\_notice\_at\_collection.pdf) here.

USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.