Senior Data Scientist, Enterprise AI
SGD 105K-148K (estimate) Senior-level Full Time
Tasks
- Build and productionize AI pipelines
- Conduct data exploration and experimentation
- Design and deploy enterprise AI solutions
- Detect anomalies and risks in real time
- Develop causal inference analyses
- Execute A B tests and segmentation
- Integrate models into enterprise platforms
- Lead data science initiatives
- Monitor model governance and explainability
- Optimize pricing strategies
- Perform forecasting
- Provide technical mentorship and code reviews
- Run scenario testing with digital twins
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Amazon Web Services | Apache Airflow | Apache Spark | Azure | B testing | Bitbucket | Boosted Trees | Causal Inference | Cloud platform | Clustering | Data Visualization | Databricks | Design of Experiments | Digital Twins | Fine Tuning | Generative AI | GitHub | GitLab | Google Cloud | Google Cloud Platform | Gradient Boosted Trees | Hadoop | Hive | Language Models | Large Language Models | MLflow | Machine Learning | Model Explainability | Model Governance | Model Monitoring | Neural Networks | Power BI | Prompt engineering | Python | Red Teaming | SQL | Segmentation | Series forecasting | Statistical modeling | Supervised Learning | Time Series | Time Series Forecasting | Version control | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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