Required skills
- Data Science
- Data Strategy
- Data Analytics
- Python
- AWS SageMaker
- Churn Prediction
- Survival Analysis
- Customer Lifetime Value (CLV)
- Propensity Modelling
- Uplift Modelling
- Explainability
- SHAP
- Fairness
- A/B Testing
- Causal Inference
- Agentic Orchestration
- LLM Orchestration
- Telecommunications
Languages: German
Job description
Seeking a Senior Data Scientist with over 7 years of experience for an 8-month, 100% project in telecommunications in Zurich. The role focuses on developing and evaluating ML models on AWS for customer behavior prediction and personalization.
Responsibilities
- Evaluates the existing churn model and an agentic recommender
- Defines features, labels, and evaluation for churn, CLV, and propensity
- Designs the CLV methodology and the measurement design for live waves
- Develops models for personalization and engagement windows per customer
Requirements
If you are available and meet the requirements, please click 'Interest'.
If you are not available, please enter your earliest availability date in the calendar.
For questions, please contact your Freelancer Team via [contact removed].
Thank you and best regards
Your Freelancer Team
Iskander Business Partner
- More than 7 years of experience in Data Science with productive models
- Experience with Python and AWS SageMaker
- Experience with Churn, Survival Analysis, and Customer Lifetime Value
- Experience with Propensity and Uplift Modelling
- Experience with Explainability, especially SHAP, and Fairness
- Experience with A/B Testing and Causal Inference
- Experience with Agentic or LLM orchestration
- Experience in the Telco environment
- Fluent English skills
- Location in Zurich or willingness to travel or short-term mobilizability to Zurich
Project details
Zurich
asap
8 months
Utilization: 100 %
Remote share: 40 %
Background of the task: For our client in the telecommunications sector, we are looking for a Senior Data Scientist. The project involves ML models on AWS for churn, customer lifetime value, propensity, personalization, and the optimal contact time per customer, deployed via Adobe AEP/AJO and BSI. The role is responsible for evaluating existing models as well as developing and methodologically designing further productive data science use cases in the Telco B2C environment.
- Start: flexible
- Location: Zürich, DE
- Languages: German
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