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

Remote · USA Full-time New today

Join blithequark, a pioneering organization in the healthcare industry, as we embark on a transformative journey to revolutionize the CVS Wellbeing framework with an AIOps platform that enhances the mental fortitude of our system. As a key member of our team, you will collaborate with experienced professionals and colleagues to design and scale out AI and machine learning solutions that identify, predict, and prescribe solutions for critical issues before they impact our operations, thereby improving the efficiency, reliability, and performance of our IT activities.

About blithequark

blithequark is a leading organization in the private sector, dedicated to providing innovative solutions that improve the lives of individuals and communities. Our commitment to excellence and customer satisfaction drives us to push the boundaries of what is possible, and we are seeking talented individuals who share our passion for making a difference.

Job Summary

We are seeking an experienced Full Stack Data Scientist to join our team on a part-time remote basis. As a Data Scientist, you will work closely with our team to develop and implement AI and machine learning solutions that drive business value and improve operational efficiency. Your expertise in AI, machine learning, and data analysis will enable you to design and deploy predictive models that identify potential issues and provide actionable insights to our stakeholders.

Key Responsibilities

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

  • Develop and deploy predictive models using AI, machine learning, and data analysis techniques to identify potential issues and provide actionable insights to stakeholders
  • Work with large datasets to extract insights and develop data-driven solutions that improve business outcomes
  • Design and implement data pipelines to collect, process, and analyze data from various sources
  • Develop and maintain high-quality code in Python, R, SQL, and other programming languages
  • Collaborate with data engineers to design and implement data architectures that support business needs
  • Communicate complex technical concepts to non-technical stakeholders and provide recommendations for business improvement
  • Stay up-to-date with industry trends and emerging technologies to ensure that our solutions remain cutting-edge and effective

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, machine learning, and data analysis
  • Proficiency in programming languages such as Python, R, SQL, and other relevant languages
  • Experience working with large datasets and data pipelines
  • Strong understanding of data structures, algorithms, and software design patterns
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams

Preferred Qualifications

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

  • Experience working with cloud-based platforms such as GCP, AWS, and other relevant platforms
  • Experience developing and deploying AI and machine learning models using deep learning techniques
  • Experience working with unstructured data sources and designing new data elements
  • Ability to provide technical expertise and mentorship to junior team members
  • Strong understanding of data visualization and communication techniques

Skills and Competencies

* Strong analytical and problem-solving skills, with the ability to extract insights from complex data sets

  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Strong understanding of AI, machine learning, and data analysis techniques
  • Proficiency in programming languages such as Python, R, SQL, and other relevant languages
  • Experience working with large datasets and data pipelines
  • Strong understanding of data structures, algorithms, and software design patterns
  • Ability to stay up-to-date with industry trends and emerging technologies

Career Growth Opportunities and Learning Benefits

* Opportunities for career growth and advancement in a dynamic and innovative organization

  • Access to training and development programs to enhance your skills and knowledge
  • Collaborative and supportive work environment that encourages learning and growth
  • Opportunities to work on high-impact projects that drive business value and improve operational efficiency
  • Recognition and rewards for outstanding performance and contributions to the organization

Work Environment and Company Culture

* Remote work arrangement with flexible hours and work-from-home options

  • Collaborative and supportive work environment that encourages learning and growth
  • Opportunities to work with a diverse and talented team of professionals
  • Recognition and rewards for outstanding performance and contributions to the organization
  • Access to training and development programs to enhance your skills and knowledge

Compensation, Perks, and Benefits

* Competitive hourly rate of $25/hour

  • Opportunities for career growth and advancement in a dynamic and innovative organization
  • Access to training and development programs to enhance your skills and knowledge
  • Collaborative and supportive work environment that encourages learning and growth
  • Recognition and rewards for outstanding performance and contributions to the organization
  • Flexible hours and work-from-home options

How to Apply

If you are a motivated and talented individual with a passion for AI, machine learning, and data analysis, 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 for this job

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