Job Details
- Languages
- English
- Experience
- 3+ years
- Required Skills
- AWSPythonSQLArtificial IntelligenceData AnalysisMachine LearningPyTorchData scienceTensorflow
Requirements
- 3+ years of experience in a Data Scientist or similar quantitative role.
- Bachelor’s Degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); Master’s or PhD preferred.
- Expert proficiency in Python and SQL for data manipulation and analysis.
- Demonstrated experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical modeling and experimental design.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) AWS preferred.
- Ability to analyze and synthesize complex data into meaningful executive summary reports.
- Ability to innovate, execute and deliver results.
- Proficiency with Microsoft Office/Google Products.
- Strong attention to detail with the ability to meet tight deadlines.
- Ability to communicate professionally, both written and verbal.
- Effective problem solving and critical thinking skills.
Responsibilities
- Design, develop, and implement production-ready machine learning models and algorithms.
- Provide core analytical expertise for ZB Agent family by developing model logic.
- Develop and maintain robust, scalable data pipelines and data processing systems.
- Collaborate with Engineering and Product teams to deploy models into production.
- Adhere to data governance and ethical AI principles.
- Clean, transform, and preprocess raw data.
- Develop and implement MLOps strategies.
- Conduct A/B testing and leverage Active Learning principles.
- Partner with Product Managers and business stakeholders to define success metrics.
- Build and maintain reports to track key performance indicators.
- Participate in code reviews and contribute to shared codebase.
- Evaluate and recommend new tools, technologies, and methods for the data science stack.
