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| Job Family |
Description |
| Machine Learning Engineer |
Responsible for designing, building, and deploying machine learning models. They work closely with data scientists to implement algorithms and ensure models are scalable and efficient. |
| Data Scientist |
Focuses on analyzing complex datasets to extract insights and build predictive models. They are skilled in statistics, machine learning, and data visualization. |
| Research Scientist |
Conducts research to develop new algorithms and techniques for data analysis. They often work on cutting-edge projects to advance the field of data science. |
| Statistician |
Specializes in statistical analysis and hypothesis testing. They play a crucial role in designing experiments, interpreting results, and ensuring the validity of statistical models. |
| Data Engineer |
Responsible for building and maintaining data pipelines and infrastructure. They ensure data is collected, stored, and processed efficiently for use in analytics and modeling. |
| Model Governance |
Focuses on establishing processes and frameworks for managing and monitoring models throughout their lifecycle. They ensure models are accurate, compliant, and ethical. |
| Product Manager |
Coordinates the development and deployment of models within products or services. They work with cross-functional teams to define requirements, prioritize features, and drive product strategy. |
| Domain Expert |
Brings domain-specific knowledge and expertise to the model development process. They provide insights into industry trends, business requirements, and user needs to inform model design and implementation. |
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