Data Scientist
RamSoft
About Us
RamSoft is a global leader in Web based Radiology Solutions. With over 25 years of innovation in web radiology, we have provided several award-winning solutions to healthcare providers around the world. With state-of-art software and services, we are uniquely positioned to help Hospitals, Clinics and Physicians to deliver effective patient care. Our engineers continue to innovate using new technologies to help save patients.
RamSoft, is headquartered in Toronto, Canada. We are also present in USA, India, South Africa and Vietnam. RamSoft India's office is located in Bangalore.
Who are we looking for?
Our ideal candidate is deeply passionate about solving problems using data, who is knowledgeable of the different tools, technologies and techniques used to create an analytics platform enabling faster, empowered care for patients.
What will you do?
- Develop and productize machine learning models created from large, complex data sets to provide insights for OmegaAI users
- Monitor and evaluate the performance of models in production, identify and address any issues or anomalies, and provide recommendations for improvements.
- Own, design, and conduct experiments to test hypotheses, validate models, and make recommendations for continuous improvement.
- Stay up to date with the latest advancements in data science, machine learning, and analytics techniques, and apply them to OmegaAI.
- Collaborate with Product Management, Data Engineers, and other stakeholders to understand their data requirements and design scalable, high-performance solutions that meet those requirements
What will you bring to RamSoft?
- Experience converting a business idea into a functional end-2-end AI project
- Excellent programming skills in Python. Strong working knowledge of NumPy, Pandas, Scikit-learn, Jupyter
- Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised)
- Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.
- Functional knowledge of platforms like Azure Synapse, Azure Machine Learning
- Experience creating efficient data pipeline
- Experience performing complex data transformations
- Thriving in a fast-paced, quickly evolving, tech start-up environment
- Contributing to a collaborative, dynamic, and diverse team
You will REALLY stand out if you also have following:
- Experience with data quality monitoring and anomaly detection
- Deployed ML models in production