Senior Data Scientist (Contractor)
Tasks
- Analyze A B test results with statistical rigour
- Architect fraud model components
- Architect multi horizon churn models
- Build Next Best Action decisioning engine
- Build churn intervention scoring layer
- Define and execute experiment designs for online evaluation
- Design and build agentic AI systems
- Lead NMLP recommendation engine
- Own full lifecycle of complex modelling programmes
- Produce model documentation and present results to stakeholders
- Set technical standards for MLOps and model documentation
Perks/Benefits
- International networking
- MyPOS Academy for upskilling and training
- Refer a friend bonus
- Social activities
- Teambuilding activities
- Unlimited access to courses on LinkedIn Learning
Skills/Tech-stack
A/B | A/B Testing | Agent Orchestration | Agent systems | Anomaly Detection | B testing | Bandits | BigQuery | CI/CD | Causal Inference | Contextual Bandits | Difference-in-differences | Drift monitoring | Feature Stores | Flink | GCP | Graph Neural Networks | Instrumental Variables | LLM Evaluation | Language Models | Large Language Models | LightGBM | Model Serving | Model registries | Multi-Agent | Multi-Agent Systems | Neural Networks | Next Best Action | Pandas | PyTorch | Python | RAG | Recommendation Systems | Reinforcement Learning | SQL | Scikit-learn | Sequence Modelling | Spark Streaming | Streaming Data | Survival analysis | TensorFlow | Time Series | Tool use | Tool-use agents | Uplift Modelling | XGBoost
Education
Roles
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