**Experienced Full Stack Data Scientist – AI and Machine Learning Engineer (Part Time/Remote)**

At arenaflex, we're revolutionizing the healthcare industry with cutting-edge technology and innovative solutions. As a Data Scientist and AI Engineer, you'll play a crucial role in developing and scaling out AI and machine learning models that improve the resilience and efficiency of our IT operations. Join our high-performing team and contribute to the development of a world-class AIOps platform that anticipates and resolves issues before they impact our customers.

• *About arenaflex**

arenaflex is a leading healthcare company dedicated to providing innovative solutions that improve the lives of our customers. With a strong focus on collaboration and creativity, we're committed to building a culture that fosters growth, learning, and success. Our team is passionate about using technology to drive positive change, and we're seeking talented individuals who share our vision.

• *Job Summary**

As a Data Scientist and AI Engineer, you'll work closely with our team to design, develop, and deploy AI and machine learning models that drive business value and improve operational efficiency. You'll be responsible for building and scaling out AI and machine learning models that predict and prevent issues, as well as analyzing and interpreting complex data to inform business decisions. If you're a creative problem-solver with a passion for AI and machine learning, we want to hear from you.

• *Key Responsibilities**

• Collaborate with cross-functional teams to design and develop AI and machine learning models that drive business value and improve operational efficiency
• Build and scale out AI and machine learning models that predict and prevent issues, using techniques such as predictive analytics, natural language processing, and computer vision
• Analyze and interpret complex data to inform business decisions and drive strategic initiatives
• Develop and maintain data pipelines and architectures that support AI and machine learning model development
• Work with data engineers to design and implement data warehouses and data lakes that support business intelligence and analytics
• Collaborate with software engineers to develop and deploy AI and machine learning models in production environments
• Develop and maintain technical documentation and knowledge bases to support model development and deployment
• Participate in code reviews and provide feedback to ensure high-quality code and best practices

• *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-driven predictive modeling and analysis
• Strong programming skills in languages such as Python, R, or SQL
• Experience with data extraction, processing, and analysis, including data visualization and reporting
• Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning
• Experience with cloud-based platforms such as GCP, AWS, or Azure
• 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 deep learning and neural networks
• Experience with natural language processing and text analysis
• Experience with computer vision and image analysis
• Experience with data engineering and data architecture
• Strong understanding of software development principles and best practices
• Experience with agile development methodologies and version control systems

• *Skills and Competencies**

• Strong analytical and problem-solving skills, with the ability to analyze complex data and drive business insights
• Excellent 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, including data visualization and reporting
• Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning
• Experience with cloud-based platforms such as GCP, AWS, or Azure
• Strong understanding of software development principles and best practices
• Experience with agile development methodologies and version control systems

• *Career Growth Opportunities and Learning Benefits**

At arenaflex, we're committed to providing opportunities for growth and development. As a Data Scientist and AI Engineer, you'll have access to:

• Ongoing training and development programs to enhance your skills and knowledge
• Opportunities to work on high-impact projects that drive business value and improve operational efficiency
• Collaborative and dynamic work environment that fosters creativity and innovation
• Recognition and rewards for outstanding performance and contributions
• Opportunities to mentor and develop junior team members

• *Work Environment and Company Culture**

arenaflex is a dynamic and fast-paced work environment that values collaboration, creativity, and innovation. Our team is passionate about using technology to drive positive change, and we're committed to building a culture that fosters growth, learning, and success. As a Data Scientist and AI Engineer, you'll have the opportunity to work with a talented team of professionals who share your passion for AI and machine learning.

• *Compensation, Perks, and Benefits**

arenaflex offers a competitive compensation package that includes:

• Salary: $25/hour
• Benefits: comprehensive health insurance, 401(k) matching, and paid time off
• Perks: flexible work arrangements, professional development opportunities, and recognition and rewards for outstanding performance and contributions

• *How to Apply**

If you're a creative problem-solver with a passion for AI and machine learning, we want to hear from you. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you!