Tech Lead Analyst, Software Engineering and Data Science (Open to Internal and External applicants)
Tasks
- Apply model interpretability techniques
- Define technical standards architecture and implementation approaches
- Design proactive communications and service delivery mechanisms
- Develop analytical and machine learning models
- Ensure data quality consistency traceability and governance
- Establish versioning documentation reproducibility and code quality best practices
- Guide data architecture and interoperability decisions
- Lead data modeling integration and transformation
- Oversee data pipeline development maintenance and documentation
- Perform exploratory data analysis and validation
- Provide technical guidance and facilitate team collaboration
- Support solution sustainability maintainability and scalability
- Test monitor and refine models
- Translate analytical results into recommendations and data products
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | BigQuery | Cloud Computing | Cloud platform | DBT | Dashboard Development | Data Analysis | Data Architecture | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Data Quality | Data Visualization | Data Warehousing | Data integration | ETL | Exploratory Data Analysis | Git | Google Cloud | Google Cloud Platform | LIME | Machine Learning | Model Interpretability | Model Monitoring | Pandas | Prefect | Python | SHAP | SQL | Scikit-learn | StatsModels
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
Analyst | Data Scientist | Engineer | Lead Analyst | Scientist | Software Engineer | Tech Lead | Tech Lead Analyst
Regions
Countries
States
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