Data Scientist
1 week ago
About the role:
We are looking for a Data Scientist with 2-4 years of experience, preferably with experience within digital ecosystems, to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling to drive data-driven decision-making for our Living app.
What you’ll do:
Data Analysis and Interpretation
- Analyze large datasets to extract actionable insights.
- Apply statistical techniques to interpret data patterns and trends.
Machine Learning Model Development
- Develop, implement, and optimize machine learning models.
- Perform model validation and testing to ensure accuracy and reliability.
Data Integration and Management
- Work with diverse data sources to gather, clean, and process data.
- Ensure data integrity and consistency across all datasets.
Business Insights and Reporting
- Collaborate with stakeholders to understand business requirements.
- Communicate findings through clear and compelling data visualizations and reports. Continuous Improvement
- Stay updated with the latest industry trends and best practices. Implement new techniques and tools to enhance data analysis and modeling processes
What we are looking for
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- 2-4 years of experience as a Data Scientist.
- Experience in digital ecosystems is preferred.
- Proficiency in programming languages such as Python or R.
- Strong skills in SQL and experience with data manipulation tools.
- Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, scikitlearn).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Experience with product analytics tools (e.g., MixPanel)
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to translate complex data into understandable insights. Preferred Qualifications:
- Experience in MLOps
- Experience with MLOps practices to streamline and automate the deployment and monitoring of machine learning models.
Why RoundGlass:
RoundGlass was built on the vision that wellbeing should be at the very center of our life journey. We are reimagining how the world experiences wellbeing and how companies (like our own) support the wellbeing of their people.
We’re a group of talented, socially-conscious, gritty, innovators using technology and human energy to create a vibrant wellness ecosystem. Together, we’ve built an amazing community and we are always looking for people who share our passion.
To learn more, visit our Website, Facebook, Instagram and LinkedIn.
RoundGlass does not discriminate against race, color, religion, sex, sexual orientation, gender identity, gender expression, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment.
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