Experienced Full Stack Data Scientist – AI and Machine Learning Engineer for AIOps Platform Development

Are you a highly motivated and innovative data scientist looking to join a dynamic team that is revolutionizing the healthcare industry? Do you have a passion for developing and implementing AI and machine learning solutions that drive business growth and improve patient outcomes? If so, we have an exciting opportunity for you to join our team as a Full Stack Data Scientist – AI and Machine Learning Engineer for AIOps Platform Development.

About Us

Aetna is a leading health insurance company that is committed to delivering innovative and personalized healthcare solutions to our customers. We are a part of the CVS Health family, which is dedicated to transforming the healthcare industry through the use of technology and data analytics. Our team is passionate about developing and implementing AI and machine learning solutions that improve the efficiency, reliability, and effectiveness of our IT operations.

Job Summary

We are seeking an experienced Full Stack Data Scientist – AI and Machine Learning Engineer to join our team and contribute to the development of our AIOps platform. As a key member of our team, you will work closely with our data scientists, engineers, and business stakeholders to design, develop, and deploy AI and machine learning solutions that drive business growth and improve patient outcomes. You will be responsible for developing and implementing predictive models, data pipelines, and machine learning algorithms that drive insights and recommendations for our business stakeholders.

Key Responsibilities

* Collaborate with data scientists, engineers, and business stakeholders to design, develop, and deploy AI and machine learning solutions that drive business growth and improve patient outcomes

• Develop and implement predictive models, data pipelines, and machine learning algorithms that drive insights and recommendations for our business stakeholders
• Work closely with our data engineering team to design and develop data pipelines that support our AI and machine learning solutions
• Collaborate with our software engineering team to develop and deploy AI and machine learning models in production
• Develop and maintain high-quality documentation of our AI and machine learning solutions, including data pipelines, models, and algorithms
• Participate in code reviews and contribute to the development of our team's technical capabilities
• Collaborate with our business stakeholders to identify business needs and develop solutions that meet those needs
• Develop and maintain relationships with our business stakeholders to ensure that our AI and machine learning solutions meet their needs and expectations

Essential Qualifications

* Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field

• 2+ years of experience in AI and machine learning, with a focus on data science and engineering
• 2+ years of experience in a programming language such as Python, R, SQL, or Java
• 2+ years of experience in data extraction, fighting, perception, and analysis
• Strong understanding of AI and machine learning concepts, including data-driven statistical modeling, discriminative techniques, feature extraction and analysis, and supervised learning
• Experience working with large datasets and data pipelines
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Preferred Qualifications

* Experience working with cloud-based platforms such as GCP, AWS, or Azure

• Experience developing and deploying AI and machine learning models in production
• Experience working with big data technologies such as Hadoop, Spark, or NoSQL databases
• Experience with data visualization tools such as Tableau, Power BI, or D3.js
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with containerization technologies such as Docker or Kubernetes
• Experience with DevOps practices and tools such as Jenkins, Git, or Puppet

Skills and Competencies

* Strong understanding of AI and machine learning concepts, including data-driven statistical modeling, discriminative techniques, feature extraction and analysis, and supervised learning

• Experience working with large datasets and data pipelines
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Strong problem-solving skills, with the ability to analyze complex problems and develop effective solutions
• Strong technical skills, with the ability to design, develop, and deploy AI and machine learning solutions
• Strong business acumen, with the ability to understand business needs and develop solutions that meet those needs

Career Growth Opportunities and Learning Benefits

* Opportunities for career growth and advancement, with a focus on developing and deploying AI and machine learning solutions

• Access to training and development programs, including online courses, workshops, and conferences
• Opportunities to work on high-impact projects that drive business growth and improve patient outcomes
• Collaborative and dynamic work environment, with a focus on innovation and experimentation
• Competitive salary and benefits package, including health insurance, retirement plan, and paid time off

Work Environment and Company Culture

* Collaborative and dynamic work environment, with a focus on innovation and experimentation

• Opportunities to work on high-impact projects that drive business growth and improve patient outcomes
• Competitive salary and benefits package, including health insurance, retirement plan, and paid time off
• Access to training and development programs, including online courses, workshops, and conferences
• Opportunities for career growth and advancement, with a focus on developing and deploying AI and machine learning solutions

Compensation, Perks, and Benefits

* Competitive salary: $25/hour

• Comprehensive benefits package, including health insurance, retirement plan, and paid time off
• Access to training and development programs, including online courses, workshops, and conferences
• Opportunities for career growth and advancement, with a focus on developing and deploying AI and machine learning solutions
• Collaborative and dynamic work environment, with a focus on innovation and experimentation

How to Apply

If you are a highly motivated and innovative data scientist looking to join a dynamic team that is revolutionizing the healthcare industry, please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you! Apply for this job