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Senior Data Scientist (Databricks experience)

Tagus Park

Job description

To integrate the Customer Intelligence department, the client is looking for a Senior Data Scientist.

Tasks:

​Translation of business needs into technical requirements and analytics solutions;
Development of Machine Learning models, with a focus on commercial opportunities, segmentation, customer retention, and personalized digital experiences. For example: propensity for acquisition and upsell, recommendation & personalization of banking products and digital content, prioritizing the most relevant communications based on customer preferences, channels, timing, and context.
Monitoring, evaluating, and maintaining developed models. Implementation and scaling of model launch methodologies (e.g., A/B Testing). Deep knowledge of evaluation metrics, applicability, and relevance to each type of model and business context. Proactively identifying opportunities for model improvement, retraining, and recalibration to add value to the business.
Implementation of best practices in Data Science. Developing processes and tools that increase team efficiency, model reliability, and scalability. Ability to pass on and scale technical knowledge to junior data scientists, fostering a culture of excellence, continuous learning, collaboration, and innovation;
Proactively identifying Data Science applications to banking use cases. Ability to identify customer problems and translate them into innovative solutions. Collaborating with cross-functional teams to transform ideas into practical Data Science projects aligned with the bank's strategic goals.
​

Requirements

  • Bachelor's or Master's/Postgraduate degree in Data Science, Mathematics, Statistics, Computer Engineering, or related fields;
  • 5+ years of experience in Data Science, preferably in the banking sector;
  • Databricks experienced
  • Experience in structuring, developing, and monitoring predictive analysis and modeling projects in Customer and Marketing areas;
  • Experience in mentoring and developing junior team members, with demonstrated impact on their growth;
  • Experience in effective collaboration with data partners (e.g., Data Analysts, ML Engineers, etc.);
  • Experience in leading and executing Data Science projects with tangible and measurable business impact.
  • High analytical ability, critical thinking, and the ability to deconstruct complex problems;
  • Excellent written and verbal communication skills at different levels within the organization, with both technical and non-technical profiles;
  • Solid knowledge of database technologies (SAS or SQL);
  • Advanced experience in Python and libraries typically used in Data Science;
  • Experience with Reporting tools (preferably PowerBI) for model performance monitoring;
  • Knowledge of best practices in data management within the banking context;
  • Experience in developing ML models in Databricks (preferred).


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