Terumo Medical Corporation (TMC) develops, manufactures, and markets a complete, solutions-based portfolio of high-quality medical devices used in a broad range of applications for numerous areas of the healthcare industry. TMC places a premium on providing customers with world-class products, training and education programs that drive clear economic value, better clinical outcomes and improved quality of life for patients. TMC is part of Tokyo-based Terumo Corporation; one of the world’s leading medical device manufacturers with $6+ billion in sales, 30,000+ employees worldwide and operations in more than 160 nations. Terumo Medical Corporation is comprised of two strategic business divisions: Terumo Interventional Systems and Terumo Medical Products.
We believe that the future is bright for everyone at Terumo. We work with the future in mind to generate lasting change, create a bigger impact and produce greater outcomes for today, and for decades to come.
At Terumo we believe in the power of personal growth and will encourage you to get in the driver's seat - progressing in the direction you want to go by deepening your skills throughout your career. We want you to be bold, think outside the box, experiment, innovate and deliver what's next for quality healthcare. You will be part of a collaborative, respectful and resilient team of associates and leaders around the world, working together as partners to achieve more than you thought possible, providing real-world, impactful solutions for patients.
Join us and help shape wherever we go next!
Advancing healthcare with heart
This position will leverage cloud computing technologies to develop, deploy, and manage predictive models that support decision-making processes across the Terumo organization. The role will involve collecting, cleaning, and preprocessing large datasets to prepare them for analysis, designing and building predictive models using machine learning algorithms, and deploying models in a cloud environment. The Data Scientist, Machine Learning Engineer will also be responsible for continuously monitoring model performance, making adjustments as needed to improve accuracy and efficiency.
Job Details/Responsibilities
- Data Exploration and Preprocessing: Collect, clean, and preprocess large datasets to prepare them for analysis. Identify patterns, outliers, and trends within the data.
- Model Development: Design and build predictive models using machine learning algorithms. Experiment with various algorithms and tuning parameters to optimize model performance.
- Cloud Deployment: Deploy models in a cloud environment, ensuring they are scalable, reliable, and secure. Utilize cloud services (e.g., AWS, Azure, Google Cloud) for computing resources, data storage, and model hosting.
- Performance Monitoring: Continuously monitor model performance, making adjustments as needed to improve accuracy and efficiency. Implement A/B testing and other techniques to validate models.
- Collaboration: Work closely with data engineers, cloud architects, and business analysts to integrate predictive models into business processes. Provide insights and recommendations based on model outputs.
- Documentation and Reporting: Document the modeling process, including data sources, model choices, and parameter configurations. Prepare reports and visualizations to communicate findings to non-technical stakeholders.
- Perform other job-related duties as required
Knowledge, Skills and Abilities (KSA)
- Experience with big data technologies (Hadoop, Spark) and understanding of data architecture principles.
- Familiarity with DevOps practices for data science, including CI/CD pipelines for model deployment.
- Certifications in cloud computing platforms and machine learning are a plus.
- Excellent analytical and problem solving skills and ability to work with large, complex data sets.
- Outstanding written and verbal presentation skills.
- Experience with forecasting methodologies and ability to work with limited information to create forecasts.
- Advanced proficiency with data mining, mathematics, and statistical analysis
- Advanced pattern recognition and predictive modeling experience
- Knowledge of machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Experience with agile methodology
- Must be able to work independently with minimal direction.
- Must exhibit strong teamwork and be adapt at working cross-functionally.
Qualifications/ Background Experiences
- Bachelor’s in Computer Science, Data Science, Statistics, or equivalent work experience.
- Minimum 5 years’ experience in data science, with experience in predictive modeling and unsupervised machine learning.
- Experience in programming languages (such as Python or C#) and familiarity with SQL required
- Experience deploying data/code to cloud computing platforms (such as AWS, Azure, Google Cloud) and their data analytics services preferred
It is Terumo’s policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As a Company, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment.
