COMPANY INFORMATION
All the health information we need is within us. Just below the skin. SAVA is redefining the way people interact with their health by developing the most advanced biosensing technology science has to offer, capable of accessing bodily information in a painless, real-time and affordable way.
DESCRIPTION
As a Junior Data Scientist at Sava, you will be key in our data analytics efforts, helping to improve our glucose biosensor technology. You will work with the data team to analyze data, use statistical models, and find insights that will guide product development and optimization. Your work will directly enhance the performance of our biosensor, ultimately improving health outcomes for our users.
RESPONSIBILITIES
- Utilize data analytics techniques to derive actionable insights from data.
- Develop and apply statistical models and regression analyses to interpret complex datasets.
- Collaborate with cross-functional teams to provide data-driven solutions.
- Develop and maintain dashboards and reports for internal stakeholders.
REQUIREMENTS
- 1-2 years of experience in a similar or equivalent role
- Master's degree in Statistics, Data Science, Engineering, Computer Science, or a related field.
- Proficiency in Python, particularly with libraries such as pandas and scikit-learn.
- Experience with SQL for data manipulation and querying.
- Familiarity with Git and collaborative development workflows.
- Familiarity with Power BI or similar data visualization tools.
- Experience with signal processing and time-series analysis is considered a plus.
- Strong understanding of statistical modelling and regression analysis techniques.
- Strong analytical skills with the ability to understand and interpret complex data relationships.
- Excellent communication and problem-solving skills.
- Ability to work both independently and collaboratively in a team environment.
- High attention to detail and a passion for delivering high-quality data solutions.