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

About Aetna and the Role Are you a highly motivated and innovative Data Scientist looking to join a dynamic team that's revolutionizing the healthcare industry with cutting-edge AI and machine learning solutions? Do you have a passion for developing and implementing data-driven strategies that drive business growth and improve patient outcomes? If so, we invite you to apply for the Experienced Full Stack Data Scientist – AI and Machine Learning Engineer for AIOps Platform Development role at Aetna. About Aetna Aetna is a leading health insurance company that's committed to delivering innovative and personalized healthcare solutions to its customers. With a rich history of over 160 years, Aetna has established itself as a trusted partner in the healthcare industry, providing a wide range of health insurance products and services to individuals, families, and businesses. About the Role As an Experienced Full Stack Data Scientist – AI and Machine Learning Engineer for AIOps Platform Development, you will play a critical role in designing, developing, and deploying AI and machine learning solutions that improve the efficiency, reliability, and effectiveness of CVS Health's IT operations. You will work closely with a talented team of data scientists, engineers, and business stakeholders to develop and implement data-driven strategies that drive business growth and improve patient outcomes. Key Responsibilities * Collaborate with cross-functional teams to design, develop, and deploy AI and machine learning solutions that improve the efficiency, reliability, and effectiveness of CVS Health's IT operations * Develop and implement data-driven strategies that drive business growth and improve patient outcomes * Work with large datasets to identify trends, patterns, and insights that inform business decisions * Design and develop predictive models using machine learning algorithms and statistical techniques * Collaborate with data engineers to design and implement data pipelines that support AI and machine learning workloads * Develop and maintain high-quality documentation of AI and machine learning solutions * Collaborate with business stakeholders to identify business needs and develop solutions that meet those needs * Stay up-to-date with the latest advancements in AI and machine learning and apply that knowledge to develop innovative solutions Essential Qualifications * Bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or engineering * 2+ years of experience in AI and machine learning with a focus on data science and engineering * Strong programming skills in languages such as Python, R, or SQL * Experience with data extraction, processing, and analysis using tools such as Apache Spark, Hadoop, or NoSQL databases * Strong understanding of machine learning algorithms and statistical techniques * Experience with data visualization tools such as Tableau, Power BI, or D3.js * Strong communication and collaboration skills with the ability to work effectively with cross-functional teams Preferred Qualifications * Master's degree or Ph.D. in a quantitative field such as mathematics, statistics, computer science, or engineering * Experience with cloud-based platforms such as AWS, GCP, or Azure * Experience with containerization and orchestration using tools such as Docker and Kubernetes * Experience with DevOps practices and tools such as Jenkins, GitLab, or CircleCI * Strong understanding of data governance and data quality principles * Experience with data storytelling and communication of complex technical concepts to non-technical stakeholders Skills and Competencies * Strong analytical and problem-solving skills with the ability to work with complex data sets and identify insights that inform business decisions * Strong communication and collaboration skills with the ability to work effectively with cross-functional teams * Strong programming skills in languages such as Python, R, or SQL * Experience with data extraction, processing, and analysis using tools such as Apache Spark, Hadoop, or NoSQL databases * Strong understanding of machine learning algorithms and statistical techniques * Experience with data visualization tools such as Tableau, Power BI, or D3.js * Strong understanding of data governance and data quality principles Career Growth Opportunities and Learning Benefits * Opportunities for career growth and advancement in a dynamic and innovative company * Access to cutting-edge technologies and tools that support AI and machine learning workloads * Opportunities for professional development and learning through training programs, conferences, and workshops * Collaborative and supportive work environment with a talented team of data scientists, engineers, and business stakeholders Work Environment and Company Culture * Collaborative and supportive work environment with a talented team of data scientists, engineers, and business stakeholders * Opportunities for flexible work arrangements and remote work options * Access to cutting-edge technologies and tools that support AI and machine learning workloads * Opportunities for professional development and learning through training programs, conferences, and workshops * Collaborative and supportive company culture with a focus on innovation, creativity, and teamwork Compensation, Perks, and Benefits * Competitive salary and benefits package * Opportunities for flexible work arrangements and remote work options * Access to cutting-edge technologies and tools that support AI and machine learning workloads * Opportunities for professional development and learning through training programs, conferences, and workshops * Collaborative and supportive company culture with a focus on innovation, creativity, and teamwork How to Apply If you're a highly motivated and innovative Data Scientist looking to join a dynamic team that's revolutionizing the healthcare industry with cutting-edge AI and machine learning solutions, we invite you to apply for the Experienced Full Stack Data Scientist – AI and Machine Learning Engineer for AIOps Platform Development role at Aetna. Please submit your resume and a cover letter that highlights your experience and qualifications for the role. Apply for this job