AI/Data Scientist (Part-Time/Remote)

Remote Full-time
About the Opportunity:
Join our innovative and collaborative team at Aeetna, a company at the forefront of developing an AIOps platform to enhance the resilience of the CVS Wellbeing framework. As an AI/Data Scientist, you'll play a critical role in building and scaling AI and machine learning solutions that proactively identify, anticipate, and resolve issues before they impact our IT operations. This is a part-time, remote position offering a competitive hourly rate of $25/hour.

Key Responsibilities:

Collaborate with colleagues to develop creative and complex AI-driven solutions.
Develop and implement machine learning models to predict and analyze data from equipment and software systems.
Support system implementation processes, including the integration of purchased solutions.
Perform configuration, coding, testing, troubleshooting, and documentation.
Act as a collaborative team member, sharing knowledge and contributing to team success.
Communicate effectively, both verbally and in writing.
Demonstrate creativity in problem-solving.
Maintain meticulous attention to detail.
Exhibits a strong work ethic and a drive for excellence.
Show enthusiasm for delivering high-quality products and services.


Qualifications:

Bachelor's degree in a quantitative field (Mathematics, Computer Science, or related) or equivalent work experience.
2+ years of experience with AI, including data-driven statistical modeling, predictive techniques, and feature extraction/analysis.
2+ years of experience with a programming language such as Python, R, or SQL.
2+ years of experience in data extraction, cleaning, monitoring, and analysis.


Preferred Qualifications:

Experience handling data from various sources and big data platforms (GCP, AWS, etc.).
Experience developing scalable AI models and systems.
Experience in statistical modeling, machine learning algorithms, or other advanced techniques to solve complex business problems.
Experience modernizing data pipelines by analyzing unstructured data sources and implementing new features.
Ability to provide technical support and expertise to the broader team.


We encourage applications from individuals who are passionate about AI and data science, even if they don't meet all the listed qualifications. We are looking for talented and enthusiastic people to join our team.

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