Job Description
We are seeking a proactive and analytical Associate Data Scientist to join our data team. The successful candidate will possess a foundational understanding of data analysis, data science, and machine learning techniques and is keen to contribute to our data-driven projects. You will collaborate with cross-functional teams to generate insights, build data models, and support decision-making.
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
Requirements
- 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.
When you join us, you’ll also be joining Danaher’s global organization, where 80,000 people wake up every day determined to help our customers win. As an associate, you’ll try new things, work hard, and advance your skills with guidance from dedicated leaders, all with the support of powerful
Danaher Business System tools and the stability of a tested organization.
At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
If you’ve ever wondered what’s within you, there’s no better time to find out.