- Ability to work on upgrades and manage the execution of Proprietary AI engine built to optimize Copay and other GTN initiatives
- Ensure models are trained with the latest data and meet the SLA expectations
- Act as a subject matter expert in solving development and commercial questions
- Work with a global cross functional team on the AI tool s road map
- Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
- Perform exploratory and targeted data analyses using descriptive statistics and other methods.
- Model/analytics experiment and development pipeline leveraging MLOps.
- Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights.
- Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications:
- Master s degree and 1 to 3 years of computer science, statistics or STEM majors with a minimum of 1 year of Information Systems experience OR
- Bachelor s degree and 3 to 5 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience OR
- Diploma and 7 to 9 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience
- Experience with one or more analytic software tools or languages like R and Python
- Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
- Strong foundation in machine learning algorithms and techniques
- Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
Preferred Qualifications:
- Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills
- Experience with data engineering and pipeline development
- Knowledge of NLP techniques for text analysis and sentiment analysis
- Experience in analyzing time-series data for forecasting and trend analysis
- Experience with AWS, Azure, or Google Cloud
- Experience with Databricks platform for data analytics and MLOps
Professional Certifications :
- Any AWS Developer certification (preferred)
- Any Python and ML certification (preferred)
Soft Skills:
- Initiative to explore alternate technology and approaches to solving problems.
- Skilled in breaking down problems, documenting problem statements, and estimating efforts.
- Excellent analytical and troubleshooting skills.
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation.
- Ability to manage multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals
