Rapidai Hiring Drive 2024: Rapidai Hiring Drive 2024 for its Data Analyst. Rapidai Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s Degree in Computer Science, Mathematics, Automation, Bioengineering, Healthcare Informatics, Economics, Finance, or related fields. if you are interested, please apply as soon as possible.
Company Name: Rapidai
Role: Data Analyst
Location: Bengaluru
Experience: 1 – 3 years
Qualification: Bachelor’s Degree in Computer Science, Mathematics, Automation, Bioengineering, Healthcare Informatics, Economics, Finance or related fields.
Batch: Any
Job Type: Full Time
Salary: 3.0 To 7.0 LPA (Expected)
Rapidai Hiring Drive 2024
Job Description:
- Study and transform data science prototypes in the Healthcare domain.
- Research and implement appropriate algorithms and tools according to requirements.
- Select appropriate datasets and data representation methods.
- Run computerized tests and experiments.
- Perform statistical analysis and fine-tuning using test results.
- Train and tune systems as necessary.
- Extend existing libraries and frameworks.
- Keep abreast of developments in the field.
- This position does not have direct reports.
- Perform any other related activities assigned by reporting manager.
Requirements:
- Understanding of data structures, data modeling and software architecture.
- Knowledge of math, probability, statistics and algorithms.
- Ability to write robust code in Python.
- Good communication skills.
- Ability to work in a team.
- Outstanding analytical and problem-solving skills.
- Bachelor s Degree in Computer Science, Mathematics, Automation, Bioengineering, Healthcare Informatics, Economics, Finance or related fields.
Skills:
- Computer science
- software architecture
- Automation
- Data modeling
- Analytical
- Data structures
- Workflow
Company Overview:
- RapidAI is the global leader in using AI to combat life-threatening vascular and neurovascular conditions.
- From home to hospital and ER to OR, RapidAI is leading the next evolution of clinical decision-making and patient workflow, bringing the end-to-end patient journey into focus.
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