Requirements
Education
-
Bachelor/Honors, Computer Engineering (CSE), Machine Learning
Additional Requirements
- Proficiency in programming languages such as Python, R, and SQL.
- Experience with machine learning frameworks like TensorFlow, Scikit-learn, or PyTorch.
- Strong analytical skills with experience working on large datasets, particularly in healthcare (e.g., EHR, medical imaging).
- Solid knowledge of statistical techniques, hypothesis testing, predictive modeling, and data mining.
- Experience using data visualization tools like Tableau, Power BI, or Matplotlib.
- Excellent problem-solving skills with a sharp attention to detail and accuracy.
- A strong understanding of healthcare regulations and data privacy laws (e.g., HIPAA) is highly preferred.
- Strong communication skills with the ability to present findings to both technical and non-technical audiences.
Responsibilities & Context
We are seeking a highly skilled Data Scientist to join our team. In this role, you will apply data science techniques, machine learning, and statistical modeling to healthcare data to uncover insights, build predictive models, and enhance patient outcomes. The ideal candidate is passionate about working with healthcare data, possesses a strong analytical mindset, and is motivated to tackle complex challenges.
- Collect, clean, and preprocess structured and unstructured healthcare data from various sources, including patient records, imaging data, and clinical studies.
- Develop predictive models and machine learning algorithms to enhance diagnosis, treatment recommendations, and operational efficiency.
- Conduct statistical analyses and build models to identify trends, patterns, and insights that inform better healthcare decision-making.
- Collaborate with software engineers, clinicians, and product managers to integrate data-driven insights into company products and services.
- Utilize data visualization techniques to effectively communicate complex findings to non-technical stakeholders.
- Evaluate and optimize models and algorithms for accuracy, scalability, and interpretability.
- Stay current with advancements in data science, machine learning, and healthcare analytics.
- Ensure adherence to data privacy regulations and healthcare standards (e.g., HIPAA).
- Document methodologies, processes, and model outputs for internal and external stakeholders.
Compensation & Other Benefits
-
Salary Review: Yearly
-
Festival Bonus: 2
Other Benefits
- We offer a competitive salary along with a comprehensive benefits package.
- Enjoy opportunities for career growth and ongoing professional development.
Work Place
Work from Office
Employment Status
Type:
Full Time/Permanent
Shift:
Day Shift
