Data Scientist - Medical Device Manufacturing
Join PT Epic Medical Solutions, a leader in medical device innovation, as a Data Scientist and drive transformative change in healthcare manufacturing. In this role, you will develop cutting-edge data-driven models and machine learning solutions to optimize manufacturing processes in Jakarta Utara. As part of our team, you'll work on real-world problems that impact patient care and operational efficiency.
PT Epic Medical Solutions is a trusted name in the medical device industry, known for our commitment to quality and innovation. We're looking for a Data Scientist who can leverage their expertise in Python, SQL, and machine learning frameworks like TensorFlow or PyTorch to help us achieve our goals.
In this role, you'll spend your days analyzing complex datasets, building predictive models, and collaborating with cross-functional teams to implement data-driven solutions. This is an exciting opportunity to work in a dynamic environment where your work directly contributes to improving healthcare outcomes.
๐ Tanggung Jawab Pekerjaan
- Develop and implement machine learning models to optimize manufacturing processes
- Analyze large datasets using Python and SQL to identify trends and insights
- Create data visualizations to communicate findings to stakeholders
- Collaborate with engineers and manufacturing teams to implement data-driven solutions
- Continuously monitor and improve existing models
- Stay updated with the latest advancements in data science and machine learning
- Participate in cross-functional projects to drive innovation in medical device manufacturing
- Provide data-driven recommendations to improve operational efficiency
๐ Kualifikasi & Syarat
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
- 3-5 years of experience in data science or machine learning
- Proficiency in Python and SQL
- Experience with machine learning frameworks such as TensorFlow or PyTorch
- Strong understanding of statistical methods and data visualization tools
- Experience working with large datasets and data warehousing tools
- Excellent communication and collaboration skills
- Ability to work in a fast-paced, dynamic environment
๐ ๏ธ Keahlian
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang