Unlock Your Potential as a Data Scientist at Aetna
Aetna, a leading name in the healthcare industry, is now part of CVS Health, one of the most innovative and dynamic companies in the healthcare sector. We're on a mission to revolutionize healthcare through technology and innovation. As a key player in this transformation, we're seeking a talented and experienced Data Scientist to join our team on a part-time, remote basis. If you're passionate about harnessing the power of AI, Machine Learning, and data analysis to drive business solutions and improve healthcare outcomes, this is an exciting opportunity you won't want to miss.
About the Role
As a Data Scientist at Aetna, you'll be an integral part of our AIOps team, working on cutting-edge projects that involve developing and implementing AI and Machine Learning solutions to enhance the efficiency, reliability, and performance of CVS Health's IT operations. You'll collaborate closely with senior leaders and cross-functional teams to design, develop, and deploy models that predict and analyze data on hardware and software systems, preventing outages and pinpointing errors. Your work will be pivotal in driving innovation and excellence in our operations.
Key Responsibilities
- Develop and deploy AI and ML models using technologies like Python, R, and SQL to analyze and predict hardware and software system data.
- Work collaboratively with teams to integrate bought solutions and implement systems into production, ensuring seamless execution.
- Design, code, test, troubleshoot, and document AI/ML solutions, maintaining high standards of quality and reliability.
- Support processes related to the execution of systems into production, including integration and troubleshooting.
- Analyze complex data sets to identify trends, create data visualizations, and inform business decisions.
- Stay updated with the latest advancements in AI, ML, and data science, applying this knowledge to improve our solutions.
Essential Qualifications
To succeed in this role, you should have:
- A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
- At least 2 years of experience in AI/ML with domain knowledge and hands-on experience in data-driven statistical modeling, discriminative techniques, feature extraction, and supervised learning.
- Proficiency in programming languages such as Python, R, or SQL, with a minimum of 2 years of experience.
- Experience in data extraction, wrangling, visualization, and analysis, with a strong understanding of data pipelines.
- Excellent communication, collaboration, and problem-solving skills, with the ability to work effectively in a team environment.
Preferred Qualifications
While not mandatory, having the following qualifications can give you a competitive edge:
- Experience working with large data sets across different sources and big data platforms like GCP or AWS.
- Background in developing scalable AI/ML models and solutions that can be applied across various business contexts.
- Experience in analyzing and executing statistical models, ML algorithms, or custom solutions that have a significant business impact.
- A graduate degree in a quantitative field or equivalent experience, demonstrating advanced knowledge and expertise.
- Knowledge of AI, Information Mining, Statistics, Applied Science, or a related field, with the ability to apply this knowledge in practical scenarios.
Skills and Competencies
We're looking for someone who not only has the technical skills but also embodies our company values. Key competencies include:
- Collaboration: Ability to work effectively with others, sharing knowledge and expertise to achieve common goals.
- Communication: Outstanding verbal, written, organizational, presentation, and interpersonal skills.
- Creativity: Capacity to innovate and come up with creative solutions to complex problems.
- Attention to Detail: Meticulous in researching future solutions and current issues.
- Strong Work Ethic: Inherent drive to deliver high-quality work.
- Passion: Drive to deliver products and services that exceed client expectations.
Career Growth and Learning Benefits
At Aetna, we're committed to your professional growth and development. As a Data Scientist, you'll have access to:
- Continuous learning opportunities, including training programs and workshops on the latest AI/ML technologies.
- Career advancement opportunities, with a clear path for progression within the company.
- Collaboration with cross-functional teams, exposing you to diverse challenges and experiences.
Work Environment and Company Culture
As a part-time, remote employee, you'll enjoy the flexibility of working from anywhere while being part of a dynamic team. Our company culture values innovation, teamwork, and excellence, providing a supportive environment where you can thrive.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:
- A hourly rate of $25.
- A comprehensive benefits package, ensuring your well-being and financial security.
- Opportunities for professional growth and development.
- A dynamic and supportive work environment that encourages innovation and excellence.
Join Our Team
If you're a motivated and talented Data Scientist looking for a challenging and rewarding role, we encourage you to apply. This is an opportunity to be part of a pioneering team that's shaping the future of healthcare through technology and innovation. Don't miss out on the chance to make a real impact and grow your career with Aetna.
Apply Now
Apply Now