Applied Data Science Lead
Tasks
- Build statistical and machine learning models
- Create documentation and reusable assets
- Create feature engineering and repeatable model runs
- Develop data pipelines in Python and SQL
- Extract clean and structured data from multiple sources
- Lead applied data science work
- Present methodology and results to stakeholders
- Test and validate model methodology
- Translate outputs into client narratives
- Translate strategic questions into analytical approaches
Perks/Benefits
- Annual holiday
- Employer pension contribution
- Income protection
- Learning Opportunities for Diversity and Inclusion
- Life assurance
- Mentoring programs
- Private healthcare
- Subsidized gym membership
Skills/Tech-stack
API | Classification | Clustering | DBT | Data cleaning | Data pipeline | Dimensional Modeling | Feature Engineering | Machine Learning | Marketing Analytics | Model Validation | OAuth | Python | REST | Regression | SQL | Statistics
Education
N/A
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