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4 days ago
Unlock Insights as a Data Analyst in the US Value & Access domain.
This role involves developing and deploying advanced analytics solutions to uncover business insights from large datasets. You will work with a cross-functional team to create predictive models, leveraging machine learning, operational research, and statistical methods.
Key Responsibilities- Data Analysis: Utilize technical skills like hypothesis testing, machine learning, and data retrieval processes to identify trends and analyze relevant information.
- Model Development: Develop and deploy advanced machine learning and statistical models, ensuring they meet SLA expectations.
- AI & Automation: Collaborate with technical teams to translate business needs into technical specifications, particularly for AI-driven automation and insights.
- Collaboration & Expertise: Work with a global, cross-functional team on the analytics roadmap, acting as a subject matter expert and solving development and commercial questions.
- A Master's degree with 1-3 years of experience or a Bachelor's degree with 3-5 years of experience in computer science, statistics, or other STEM majors.
- Experience with one or more analytic tools or languages like R and Python.
- A foundational understanding of the US pharmaceutical ecosystem, patient support services, and standard datasets.
- Strong foundation in machine learning algorithms and techniques, including regression, clustering, and classification.
- Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) is a plus.
- Problem-Solving: Outstanding analytical and problem-solving skills with the initiative to explore alternate technologies and approaches.
- Communication: Excellent communication and interpersonal skills to collaborate with global, virtual teams.
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