Danaher is currently seeking candidates for the role of Associate Data Scientist in the vibrant city of Hyderabad. To be eligible for this position, candidates are required to hold a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. The ideal candidate should have 1-2 years of relevant experience. As an Associate Data Scientist at Danaher, individuals will have the opportunity to apply their academic knowledge and practical experience in a dynamic work setting. The job location in Hyderabad adds to the appeal of this position, offering a mix of professional growth and a rich cultural experience.
Company Name: Danaher
Job Role: Associate Data Scientist
Education Required: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
Experience Required: 1-2 years
Job Location: Hyderabad
Role and Responsibilities:
- Collaborate with upper management / technical lead to determine programming goals.
- Write code based of requirements.
- Test code thoroughly and accurately.
- Deploy code using the proper guidelines.
- Maintain and ensure stability and performance of deployed code.
- Edit and improve code from existing systems.
- Follow standard naming conventions when writing code.
- Add comments to code whenever necessary.
- Follow best practices when writing code (e.g. using functions, etc.).
- Collaborate with cross functional team.
- Manage projects and tasks via Agile framework.
- Communicate with team and end users on status of projects and tasks effectively.
Required Skills and Qualification:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 1-2 years of relevant experience or equivalent combination of education and experience.
- Familiarity with data science toolkits such as Python, R, SQL, and data visualization tools.
- Basic understanding of machine learning algorithms and statistical techniques.
- Excellent problem-solving skills and ability to work in a collaborative environment.
- Strong communication skills to effectively present findings to non-technical stakeholders.
