Experienced Full Stack Data Scientist – AI and Machine Learning Development

Join arenaflex, a leading innovator in the private sector, as we revolutionize the healthcare industry with cutting-edge AI and machine learning solutions. At arenaflex, we're on a mission to harness the power of artificial intelligence and machine learning to transform the CVS Wellbeing framework. As a key member of our high-performing team, you'll collaborate with experienced professionals to design, develop, and scale out AI and machine learning solutions that predict, prevent, and prescribe solutions to critical issues before they impact the business. Your work will focus on improving the efficiency, reliability, and performance of CVS Wellbeing's IT operations.

About arenaflex

arenaflex is a pioneering organization that's redefining the healthcare industry with its innovative approach to AI and machine learning. Our collaborative and dynamic work environment is designed to foster creativity, teamwork, and growth. We're committed to empowering our employees with the tools, resources, and opportunities they need to succeed and thrive in their careers.

Job Summary

We're seeking an experienced Full Stack Data Scientist to join our team of innovators and problem-solvers. As a key member of our AI and machine learning development team, you'll work closely with colleagues to design, develop, and deploy AI and machine learning solutions that drive business value and improve operational efficiency. Your expertise in AI, machine learning, and data science will be instrumental in helping us achieve our mission to revolutionize the healthcare industry.

Key Responsibilities

* Collaborate with cross-functional teams to design, develop, and deploy AI and machine learning solutions that drive business value and improve operational efficiency

• Develop and maintain complex AI and machine learning models using Python, R, SQL, and other programming languages
• Work with large datasets to extract insights, identify patterns, and make predictions using data-driven statistical modeling and machine learning techniques
• Design and implement data pipelines to extract, transform, and load data from various sources
• Develop and deploy AI and machine learning models on cloud-based platforms such as GCP, AWS, and others
• Collaborate with data engineers to design and implement data architectures that support AI and machine learning workloads
• Provide technical guidance and support to the broader team on AI and machine learning concepts and best practices
• Stay up-to-date with the latest developments in AI and machine learning and apply this knowledge to drive innovation and improvement in our solutions

Essential Qualifications

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

• 2+ years of experience in AI and machine learning with a focus on data-driven statistical modeling and machine learning techniques
• 2+ years of experience in programming languages such as Python, R, SQL, and others
• 2+ years of experience in data extraction, transformation, and analysis using various tools and techniques
• Strong understanding of AI, machine learning, and data science concepts and best practices
• Excellent communication, collaboration, and problem-solving skills

Preferred Qualifications

* Experience working with large datasets and cloud-based platforms such as GCP, AWS, and others

• Experience developing and deploying AI and machine learning models on cloud-based platforms
• Experience investigating and executing measurable models, AI calculations, or other tailored solutions that show significant impact on complex business issues
• Experience upgrading existing data pipelines by investigating unstructured data sources and designing new features
• Graduate degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, or a related field
• Knowledge of AI, Data Mining, Statistics, Applied Science, or a related field

What We Offer

* Competitive hourly rate of $25/hour

• Flexible part-time schedule with 8 hours of work per week
• Remote work options to support work-life balance
• Opportunities for professional growth and development in a dynamic and innovative organization
• Collaborative and supportive work environment with experienced professionals
• Access to cutting-edge tools, technologies, and resources to support AI and machine learning development
• Comprehensive benefits package, including health insurance, retirement savings, and paid time off

How to Apply

If you're a motivated and experienced data scientist with a passion for AI and machine learning, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you! Apply Now! Apply for this job