Data Scientist - Ad Campaign Performance

Experienced Data Scientist
12 month contract TBC
Market Rate - Depending on experience level
IR35 Status Outside TBC
Hybrid/Remote (UK Right to work) with Travel to London

Experienced Data Scientist working on a new initiative to build and deploy a modelling solution to predict & optimise advertising campaign performance as part of a productionised, customer-facing SaaS product. Ideally looking for experience in Media/Advertising sector or similar.

Experience - Must-haves:

• Must have a number of years working commercially as a Data Scientist
  
• Solid understanding of & real-world experience implementing data science & statistical principles - e.g. applied statistics, model selection, cross-validation, objective functions, hyperparameter tuning, continuous & discrete optimisation problems, etc.
  
• Strong interpersonal skills & ability to explain data science principles with clarity to non-technical stakeholders when required
  
• Extensive knowledge of Python programming principles including object-oriented programming, performance optimisation
  
• Experience developing & deploying productionised Machine Learning applications on a cloud platform (GCP ideal, AWS & Azure also acceptable)
  
• Experience with common Python packages for Machine Learning - examples include PyTorch, TensorFlow, XGBoost, scikit-learn, SciPy, NumPy, pandas, etc.
  
• Strong knowledge of SQL and its use for data preparation & feature engineering
  
• Understanding of & practical experience with implementing MLOps principals - including automated model retraining, monitoring & deployment strategies
  
• Some knowledge of containerisation & use of tools like Docker & Docker Compose
  
  Nice-to-haves (Mix of the following but not all essential):
  
• Experience working with Google Cloud products for ML including Vertex AI Pipelines & BigQuery
  
• Experience with dbt (data build tool)
  
• Previous experience working with advertising data
  
• Experience with FastAPI or other Python API frameworks
  
• Experience with dashboarding tools such as Looker Studio, Tableau or PowerBI
  
• Experience working on a SaaS (Software-as-a-Service) application
  
• Experience working with Kubeflow Pipelines
  
• Experience developing on a Mac / Unix environment
  
• Knowledge of CICD pipeline design & implementation
  
• Experience modelling using GenAI, LLMs or neural networks in general
  
• A/B testing experience / Statistical hypothesis testing experience
  
  Everybody is welcome
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