Chemists

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

**Position Summary**

CVS Health’s Analytics & Behavior Change (A&BC) is an organization within CVS Health working to solve some of the most challenging problems at the intersection of technology, analytics, and healthcare. A&BC leverages advanced analytics (AI, ML, LLM), user-centric product design, and a hypothesis-driven top-down approach to transform data into actionable and customer-centric insights, predictions, and products. A&BC’s aim is to drive growth, improve health outcomes and expand access to healthcare for all our members and customers.

The Care Delivery Analytics & Behavior Change team is part of the overall Analytics and Behavior Change organization (A&BC). The team plays a key role in shaping the future of CVS Health’s growing care delivery ecosystem (i.e., HealthSpire) by collaborating with key business areas across CVS Health to deliver impactful analytic solutions, insights, predictions, and digital products. We are a fast-paced, collaborative, disruptive and fun team focused on building innovation that aims to make CVS’s healthcare ecosystem better for all those involved in it. The Sr. Data Scientist role within CVS Health Care Delivery Growth team is on the front line of driving innovation and directly impacting business decisions.

As a Senior Data Scientist, you will play a crucial role in shaping the future of healthcare delivery. Your work will directly contribute to improving health outcomes for our members and enhancing the overall patient experience. This team works with business partners to understand their goals and objectives and generates insights connecting analytical results with business problems/goals and present recommendations to internal teams and business partners. You will get the opportunity to build ML models to predict future outcomes, solve highly complex business problems, and support decision making. In addition, you will also analyze large data sets in real-time databases, develop insights, and influence business operations to enhance performance.

The ideal candidate is a flexible collaborator and team player who can contribute to all phases of the project including data preparation, data cleaning and interpretation, analysis, model building, quality assessments and presentation of results.

**Position Responsibilities**

+ Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.

+ Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.

+ Collaborates with cross-functional business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.

+ Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions.

+ Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.

+ Uses strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.

+ Uses strong programming skills to explore, examine and interpret large volumes of data in various forms.

+ Join forces with the Data Engineering team to ensure the availability and integrity of data required for analytics, ML ops for deployment, and identify opportunities for data integration, automation, and augmentation.

**Required Qualifications**

+ 5+ years' experience in data science and advanced analytics

+ 5+ years' experience writing complex and efficient SQL code and leveraging exploratory data analysis techniques to develop insights from data

+ 3+ years' experience with Python

+ 3+ years' experience building ML models ( e.g., Vertex AI or Amazon Sagemaker )

+ 2+ years' experience leveraging Cloud technologies (e.g. GCP, Azure, AWS, Snowflake, Databricks)

+ Proven experience overseeing end-to-end model development from ideation through solution development to deployment/monitoring including in standard and advanced ML modeling techniques (e.g., Regression Models, Decision Trees, Neural Networks, etc.)

+ Solid understanding of the US healthcare system including provider, payor, and regulatory landscape.

**Preferred Qualifications**

+ Experience at a top-tier management consulting firm or an in-house consulting role

+ Strong business acumen and problem-solving skills with ability to communicate technical concepts and implications to business partners

+ Forward-thinking, anticipates and prevents problems and roadblocks before they occur

+ Solid understanding of the US healthcare system including provider, payor, and regulatory landscape and understanding of Medicare and Medicaid programs. Thorough understanding of care delivery solutions (e.g., Value Based Care, In-Home Evaluations, e-consults, etc.)

+ Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team

+ Experience within an agile product development framework

**Education**

+ Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline

+ Master’s degree preferred

**Anticipated Weekly Hours**

40

**Time Type**

Full time

**Pay Range**

The typical pay range for this role is:

$83,430.00 - $222,480.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

**Great benefits for great people**

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .

+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 04/08/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

**Your Future Evolves Here**

Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones.

Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business.

Join Evolent for the mission. Stay for the culture.

**What You’ll Be Doing:**

We are seeking an exceptionally innovative **Data Scientist** to join our team and lead the development and scaling of AI-driven solutions. This role is ideal for a proactive individual with expertise in multi-modal AI techniques, a deep understanding of the latest AI tools, and a proven track record of building AI systems that drive tangible business outcomes.

This position offers an opportunity to work on groundbreaking AI applications, collaborate with cross-functional teams, and contribute to our mission of transforming healthcare.

**What You Will Be Doing:**

+ Independently analyze complex business problems including those unrelated to their area of expertise and design AI-driven solutions, selecting tools and strategies that fit the problem

+ Design, build, and scale AI systems and pipelines tailored to healthcare administration challenges alongside a Data Engineer and a Senior Data Scientist Lead

+ Apply multi-modal AI techniques, including NLP, computer vision, and structured data modeling, to develop innovative solutions

+ Rapidly prototype and iterate on AI models while evaluating emerging AI tools and technologies

+ Work closely with data engineers, software engineers, product managers, and domain experts to implement scalable AI solutions

+ Optimize AI models for performance, scalability, and reliability in a production environment

+ Build, modify, and enhance existing pipelines to perform advanced AI processing of documents

+ Support migration of pipeline technologies from one platform to another

**Qualifications Required and Preferred:**

+ Bachelor’s and Master’s degree in Computer Science, AI, Data Science, or a related field.

+ 5+ years of hands-on experience in AI model development and deployment.

+ Strong expertise in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.

+ Experience in developing multi-modal AI systems integrating text, images, and structured data.

+ Knowledge of cloud-based AI/ML infrastructure on AWS, Azure, or GCP.

+ Proficiency in data pipeline and workflow orchestration tools like Apache Airflow.

+ Strong problem-solving, critical thinking, and ownership mindset with the ability to work independently.

+ Passion for AI innovation and a deep curiosity for exploring new AI advancements.

**Technical Requirements:**

We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.

**Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.** **If you need reasonable accommodation to access the information provided on this website, please contact** **recruiting@evolent.com** **for further assistance.**

The expected base salary/wage range for this position is $120,000 - 130,000. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

**Role Description:**

The Data Analyst will be responsible for creating ad hoc analyses and reports that interpret and analyze data trends for all teams at Oak Street Health. This role will handle all data requests and provide data reports to assist in programmatic decisions. The data analyst will also assist in determining future analyses and metrics and the development of meaningful performance indicators. The scope of this role will focus on medical economics and finance related data requests and analysis along with special projects.

**Core Responsibilities:**

+ Identify, analyze, and interpret trends or patterns in complex data sets

+ Prepares and disseminates analysis reports, and presentations to various audiences both internal and external

+ Collaborates with internal program staff around all evaluation and analysis activities

+ Handles all data requests and special analyses for internal and external partners

+ Assists in developing actionable metrics to quantify the impact of programming

+ Establishes relationships with internal and external partners to obtain and validate quality data

+ Assists in creating uniform business rules that will be used in all ad-hoc analyses

+ Other duties as assigned.

**What are we looking for?**

We're looking for a motivated data analyst with:

+ Undergraduate degree, preferably in Computer Science, Business or Analytics

+ 2 or more years of relevant work experience

+ Proficient in writing SQL queries and stored procedures on large data sets with complex data models

+ Advanced Microsoft Excel skills (PowerPivot, functions, VBA)

+ Data management experience; knowledgeable in database rules, writing queries, and relational database creation and management (create, query, relate)

+ An analytical mind and inclination for problem-solving

+ Ability to manage deadlines and deliverables and communicate them to business owners

+ Ability to communicate clearly to stakeholders

+ Business process understanding

+ US work authorization

+ Someone who embodies being "Oaky"

**What does being "Oaky" look like?**

+ Radiating positive energy

+ Assuming good intentions

+ Creating an unmatched patient experience

+ Driving clinical excellence

+ Taking ownership and delivering results

+ Being relentlessly determined

**Why Oak Street Health?**

Oak Street Health is on a mission to "Rebuild healthcare as it should be'', providing personalized primary care for older adults on Medicare, with the goal of keeping patients healthy and living life to the fullest. Our innovative care model is centered right in our patient's communities, and focused on the quality of care over volume of services. We're an organization on the move! With over 150 locations and an ambitious growth trajectory, Oak Street Health is attracting and cultivating team members who embody "Oaky" values and passion for our mission.

**Oak Street Health Benefits:**

+ Mission-focused career impacting change and measurably improving health outcomes for medicare patients

+ Paid vacation, sick time, and investment/retirement 401K match options

+ Health insurance, vision, and dental benefits

+ Opportunities for leadership development and continuing education stipends

+ New centers and flexible work environments

+ Opportunities for high levels of responsibility and rapid advancement

Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply.

Learn more at www.oakstreethealth.com/diversity-equity-and-inclusion-at-oak-street-health

**Anticipated Weekly Hours**

40

**Time Type**

Full time

**Pay Range**

The typical pay range for this role is:

$64,890.00 - $173,040.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

**Great benefits for great people**

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .

+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 09/30/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

**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.

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**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.