Data Scientist
| Data
Scientist | |
| Experience | 4–7 years |
| Requirements | |
| 1 | 4–7 years of data science
experience |
| 2 | Proficiency in SQL and Excel |
| 3 | Production engineering best
practices: Git, Docker |
| 4 | Working knowledge of AWS Cloud |
| 5 | Foundational ML: regression,
classification, optimisation techniques |
| Responsibilities | |
| 1 | Analyse structured and
unstructured data; build and deploy ML models |
| 2 | Collaborate cross-functionally
for scalable, actionable insights |
| 3 | Design and execute A/B testing
experiments |
| 4 | Develop subject matter expertise
across diverse project domains |
| 5 | Translate analytical findings
into clear recommendations for stakeholders |
| 6 | Work with data engineering to
operationalise models and pipelines |
| 7 | Create visualisations to
communicate data insights effectively |
| 8 | Stay updated on emerging data
science tools and techniques |