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.

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: $87,568 - $189,732 / 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: $87,568 - $189,732 / 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: $87,568 - $189,732 / 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. Telecommuting is permitted from anywhere in the U.S.

**Minimum Qualifications:**

Minimum Qualifications:

12. PhD in Computer Science, Engineering, Analytics, Statistics, Mathematics, or a related field. Foreign degree equivalent accepted.

13. Requires Completion of a university-level course, research project, or internship involving the following:

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

15. 2. Solving analytical problems using quantitative approaches

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

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

18. 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

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

20. 7. Java, C++, Perl, PHP, or Python.

**Public Compensation:**

$214,032/year to $240,240/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.

**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: $87,568 - $189,732 / 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: $87,568 - $189,732 / ANNUAL

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

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.

**The Role:**

**The Logitech for Business Marketing Analytics team is passionate about using data to help make better decisions and serve insights with strategic implications. We are seeking for a Marketing Data Scientist intern who can work hands-on with Machine Learning and Big Data technologies and build scalable machine learning data solutions for our marketing and sales team. You will be working cross-functionally with internal and external stakeholders to identify insight requirements and apply creativity to test hypotheses, prepare data, build models, analyze and visualize results, and integrate the solution into innovative ways to meet and optimize marketing ROI.**

**Who we’re looking for:**

**You are a team player who enjoys a challenge, someone who is able to support others selflessly. Always eager to find solutions, you are resourceful and self-motivated to learn.**

**What you’ll do:**

+ **Enhance the current customer model as additional data points become available through iterative improvements and Martech initiatives.**

+ **Design and evaluate conversion lift experiments to optimize campaigns and measure their incremental impact**

+ **Expand our market and sales model that drive personalization for customer engagement on owned and paid marketing channels by mapping out our buyers’ journey.**

**We love to hear from you if you are:**

+ **BA/MSc in Data Science, Business Analytics, Computer Science, Math, Statistics, Economics, or other quantitative fields; Masters desirable.**

+ **Experience in building marketing models.** **These methods include but are not limited to** **regression analysis, anomaly detection, NLP, and end-to-end machine learning modeling (decision tree, clustering, ensemble and boosting methods, feature selection)**

+ **Write production quality codes in SQL, Python (pandas, numpy, scikit-learn, keras…), and/or R**

+ **Experience in developing data pipelines via SQL and Python-based ETL framework**

+ **Ability to partner with the data engineering and BI teams to run workflows, requirements, and project roadmap to ensure consistent data availability, data quality, and data accessibility.**

+ **Conceive and implement the design of end-to-end scripted analytics solutions using SQL as well as modern analytical systems in Snowflake, GitHub, AWS, as well as experience using Jupyter Notebooks.**

+ **A self-starting mindset along with strong communication and collaboration skills**

**Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it.** **As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot** **to be in and we’re always striving to keep it that way.** This position offers an hourly rate typically between $31.00 hourly- $39.00 hourly commensurate to the level of degree program in which an applicant is actively enrolled.

**“** **_All qualified applicants will receive consideration for employment_** **_without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.”_**

**_If you require an accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 510-713- 4866 for assistance._**

Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.

Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!

We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.

All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.

Senior Environmental Scientist or Engineer

Requisition ID: 137476

Location:

Claypool, AZ, US, 85532

Category: Environmental

Share this Job

Why You Should Apply For This Job:

_At Freeport-McMoRan, we are committed to providing an employment package that recognizes excellence, encourages safe production and a culture supported by our core values. Here, you’ll find a collaborative environment where safety is a top priority, all opinions are valued, and people are empowered to grow in their career._ **_Apply Today! _**

**Where You Will Work **

Our Miami smelter and rod plant is nestled just 90 miles east of Phoenix. The smelter processes copper concentrate primarily from our company’s Arizona copper mines and is the most significant source of sulphuric acid for our North American leaching operations. Arizona’s Globe-Miami historic mining district offers natural beauty and a rich mining heritage. The Tri-Town of Globe, Claypool and Miami offers convenient shopping locales, including Walmart, Safeway, Fry’s and other local stores. Here, our employees and their families can connect with the outdoors and enjoy the family-friendly atmosphere. VisitGlobe-Miami.com) (https://www.globemiamichamber.com/) to learn more.

**Description**

Under general supervision, provides technical expertise, guidance and leadership for Environmental projects and programs at assigned site.

+ Determines and assesses environmental risk and develops regulatory documentation of results

+ Performs hazardous waste site inspections and recommends appropriate action to management in compliance with regulations

+ Reviews and develops appropriate recommendations regarding planned expansion, modification or closure of facilities which affect environmental discharges, emissions, and hazardous materials

+ Serves as Project Manager or technical expert on large/complex environmental projects (e.g., compliance, remediation, or reclamation)

+ Evaluates and administers contracts with vendors for the provision of services and equipment

+ Provides guidance and counsel to the site management team on applicable programs, practices, and existing/proposed local, state, and federal regulations

+ Contributes to site strategic planning and budgeting efforts for environmental systems and issues

+ Maintains current working knowledge of Federal, State and local environmental and occupational health regulations (e.g., CERCLA, NEPA, SARA, RCRA, Clean Air and Water Acts)

+ Provides leadership to less experienced engineers and technicians

+ May represent the site on company-sponsored steering teams

+ Performs other duties as required

**Qualifications**

**Minimum Requirements:**

**Senior Environmental Scientist**

+ Bachelor's degree in Environmental Science, Environmental Technology, Earth Science or related Natural Science (such as Biology, Chemistry, Geology, Hydrology, Forestry, Agriculture, Meteorology, Environmental/Natural Resource Management), or Mathematics/Computer Science including Accounting and Finance, or Business Management, or other bachelor’s degree and five (5) years of related experience, OR

+ Master's degree in a related field and three (3) years of related experience

**Senior Environmental Engineer**

+ Bachelor's degree in Engineering (such as Environmental, Civil, Chemical, Agriculture, Mining, Metallurgical, Geological, or similar Engineering discipline) and five (5) years of Engineering experience in Environmental Management, including Project Management experience, OR

+ Master's degree in Engineering (such as Environmental, Civil, Chemical, Agricultural, Mining, Metallurgical, Geological, or similar Engineering discipline) and three (3) years of Engineering experience in Environmental Management, including Project Management experience

+ Master's degree in a related field and three (3) years of related experience

**Applies to all positions above:**

+ Additional certification or licensure appropriate to the job may be required or preferred (US examples include HAZWOPER, Method 9, DOT, EMS, Auditor, Asbestos, Water Treatment Operator, CHMM)

**Preferred Qualifications:**

**Applies to all positions above:**

+ Experience with personnel supervision

+ Project management experience

+ Knowledge/ experience with Federal and Arizona State solid waste regulation and programs

**What We Offer You**

The estimated annual pay range for this role is currently **$93,000-$130,000** . This range reflects base salary only and does not include bonus payments, benefits or retirement contributions. Actual base pay is determined by experience, qualifications, skills and other job-related factors. This role is eligible for additional discretionary and incentive payment considerations based on company and individual performance. More details will be shared during the hiring process. **Click here (https://performancemanager4.successfactors.com/doc/custom/freeportmc/COP\_Total\_Rewards\_Estimate\_3\_6\_24v2.pdf)** to view a sample of Total Rewards Estimate for this role.

+ Affordable medical, dental and vision benefits

+ Company-paid life and disability insurance

+ 401(k) plan with employer contribution/match

+ Paid time off, paid sick time, holiday pay, parental leave

+ Tuition assistance

+ Employee Assistance Program

+ Discounted insurance plans for pet, auto, home and vehicle

+ Internal progression opportunities

+ Learn more (https://jobs.fcx.com/content/Benefits/?locale=en\_US) about our competitive and comprehensive benefits package!

** What We Require **

+ Candidates may be required to pass a medical exam.

+ Candidates must pass all required training and/or testing.

+ Employees may be required to work a non-standard schedule, which may include shift work (other than day shift) at a 24/7, 365-day operation.

+ Freeport-McMoRan promotes a drug/alcohol-free work environment using mandatory pre-employment drug testing and on-going drug and alcohol testing, as allowed by applicable laws.

**Equal Opportunity Employer **

_Please be advised that Freeport-McMoRan will never request payment for job-related expenses from applicants. If you receive any suspicious emails, please disregard them, and report the incident to_ _HRSC@fmi.com_ _._

**What’s Under the Hood**

DriveTime Family of Brands includes in-house financing and servicing through Bridgecrest, which is one of the country’s leading financial servicing providers. Bridgecrest services roughly $17 billion in finance receivables for DriveTime and other third parties. We service auto loans across a wide credit spectrum with the intent of creating a strong path to vehicle ownership for our customers.

**That’s Nice, But What’s the Job?**

**_This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship now or in the future are not eligible for hire at this time._**

In short, as a Data Scientist II you will design, develop and implement analytical solutions to support multiple products, business units and verticals.

In long, the Data Scientist II is responsible for:

+ Work with business partners to define objectives and build appropriate analytical solutions

+ Partner with business customers to manage data for modeling and analytics

+ Partner with Machine Learning Engineers in development and implementation of models

+ Present results of analysis to leaders and colleagues

+ Work with Jr Data Scientist(s) to develop and implement analytical solutions

**So What Kind of Folks Are We Looking for?**

+ **Excellent verbal and written communication skills.** The ability to talk and write with confidence, charisma and competence for a wide variety of audiences including management.

+ **Organization and time management skills in spades.** You’ll be handling multiple projects and deadlines that will require you to prioritize then re-prioritize… then… re-prioritize again.

+ **Intellectual curiosity.** Why? What? How? Do you find yourself always wanting to learn more and broaden your knowledge base? If so, this could be the role for you.

+ **Agile in a fast-paced environment.** We move, and we move quickly. Thriving in an environment that never stops, is a must.

+ **Rebel with a cause.** You are always looking beyond the obvious for continuous improvement.

**The Requirements.**

+ Bachelor’s Degree in Math, Statistics, Physics, Computer Science, or related discipline. Master’s degree preferred

+ Credit/lending risk modeling experience preferred

+ 2+ Years of Experience Working in a Data Scientist or Statistician Role

+ Demonstrated expertise in Python

+ Expertise leveraging MLOps methodology in Azure, AWS or GCP. Cloud certifications is a plus

+ Experience coaching Jr Data Scientists and leading complete data science projects end-to-end

+ Expertise in RDBMS and Big Data environments such as Snowflake.

+ Demonstrated experience in developing and deploying statistical learning/machine learning techniques with significant business outcomes

+ Expertise with git/version control and build/release pipelines.

\#Dice

**So What About the Perks? Perks matter**

+ **Medical, dental, and vision, oh my!** DriveTime Family of Brands covers a sizable amount of insurance premiums to ensure our employees receive top-tier healthcare coverage.

+ **But Wait, There’s More.** 401(K), Company paid life insurance policy, short and long-term disability coverage to name a few.

+ **Growth Opportunities.** You grow, I grow, we all grow! But seriously, DriveTime Family of Brands is committed to providing its employees with every opportunity to grow professionally with roughly over 1,000 employees promoted year over year.

+ **Tuition Reimbursement.** We’re as passionate about your professional development as you are. With that, we’ll put our money where our mouth is.

+ **Wellness Program.** Health is wealth! This program includes self-guided coaching and journeys, cash incentives and discounts on your medical premiums through engaging in fun activities!

+ **Gratitude is Green.** We offer competitive pay across the organization, because, well… money matters!

+ **In-House Gym.** We want our employees to be the best versions of themselves. So come early, take a break in your day or finish strong with a workout!

+ **Give Us a Reason (or not), and We’ll Celebrate.** Regardless of whether there is a holiday or not, we are finding ways to kick back and enjoy each other’s company outside of day-to-day work.

+ **Smart-Casual Dress.** Come dressed in jeans (you’ll fit right in with the rest of us).

+ **Paid Time Off.** Not just lip service: we work hard, to play hard! Paid time off includes (for all full-time roles) wellness days, holidays, and good ole' fashioned YOU time! For our Part-timers, don't fear you get some time too...vacation time is available - the more you work, the more you earn!

**Anything Else? Absolutely.**

DriveTime Family of Brands is Great Place to Work Certified! And get this: 90% of our rockstar employees say they feel right at home here. We could spend a lot of time having you read about ALL our awards, but we’ll save time (and practice some humility) just naming a few others; Comparably Awards: Best Company for Diversity, Best Company Culture and Best Company Leadership, oh and don’t forget Phoenix Business Journal Healthiest Employers (okay, we’ll stop there)!

Hiring is contingent upon successful completion of our background and drug screening process. DriveTime is a drug-free, tobacco-free workplace and an Equal Opportunity Employer.

And when it comes to hiring, we don't just look for the right person for the job, we seek out the right person for DriveTime. Buckle up for plenty of opportunities to grow in a professional, fun, and high-energy environment!

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities

+ Work with data science techniques and libraries to show data's applicability to the clients' business problems.

+ Perform exploratory data analysis to define analytical models.

+ Develop advanced quantitative models using Python, PySpark, and associated libraries to support predictive assessments.

+ Explain analytics model behavior/results in business-friendly language.

+ Build, test, validate, and demonstrate analytical models through various relevant error metrics and calibration techniques.

+ Apply algorithms that require multiple models/methods to be used in an ensemble.

+ Utilize SQL to query, manipulate and extract data to drive business insights

+ Deploy models into production with Airflow.

+ Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.

+ Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational

The Team

As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.

Qualifications

Required

+ 5+ Years experience as a Data Scientist

+ 5+ Years experience conducting Time-Series Analysis and Anomaly Detection

+ 5+ Years experience using the following tools: SQL, Tableau, and Python

+ Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

+ Limited immigration sponsorship may be available

+ Must be able to sit onsite in Cupertino, CA

+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

+ A background in marketing analytics, market research, or sales analytics

+ Analytical/ Decision Making Responsibilities

+ Analytical ability to manage multiple projects and prioritize tasks into manageable work products

+ Can operate independently or with minimum supervision

+ Excellent Written and Communication Skills

+ Ability to deliver technical demonstrations

For individuals assigned and/or hired to work in California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington State, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington state and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $109,000 to $170,000.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.