Key Responsibilities
- Develop predictive models and algorithms to extract insights from complex datasets
- Design and implement A/B testing frameworks to evaluate model performance
- Collaborate with engineering teams to deploy scalable data pipelines
- Analyze large-scale biological or experimental data for pattern recognition
- Create interactive dashboards and reports for stakeholder communication
Requirements
- Master's degree in Data Science, Computer Science, or related quantitative field
- 2+ years of hands-on experience with machine learning and statistical analysis
- Proficiency in Python and SQL with experience in data visualization tools
- Familiarity with bioinformatics or experimental data analysis is a plus
- Strong problem-solving skills and ability to communicate technical findings