Unlock Business Value with Advanced Data Science

17 hours ago

Dublin, Dublin City, Ireland beBeeData Full time €80,000 - €115,000
Data Scientist & AI Role

As a key team member, this Data Scientist and AI role plays a pivotal part in enabling clients to derive value from information assets. The team embeds innovative data analytics solutions into existing business areas and transforms data into strategic assets.

We are seeking a highly motivated Data Scientist who is passionate about leveraging data to solve complex problems and drive business outcomes. The role involves developing new and existing client relationships and delivering first-class customer experience on high-profile engagements.

The ideal candidate will be responsible for:

  • Big Data Analysis: Analyzing large and complex datasets to extract actionable insights, identify trends, patterns, and anomalies to inform business strategies.
  • Statistical Modeling: Applying statistical techniques to extract insights, build predictive models, interpret data, and support data-driven decision making.
  • Machine Learning and AI Model End-to-End Management: Building and managing the full lifecycle of ML models, including development, validation, deployment, and monitoring in production environments.
  • Collaboration: Working with cross-functional teams to develop, test, and deploy advanced ML models, ensuring alignment with business objectives and seamless integration into client operations.
  • Communication: Communicating complex analytical findings and model results to stakeholders in business terms to inform decision-making.
  • Continuous Learning: Staying informed of the latest data science advancements to keep the team at the cutting edge.

To qualify for the role, you must have:

  • Experience: A minimum of 6 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications.
  • Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch.

Ideally, you will also have:

  • Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data-driven solutions.
  • Collaborative Development: Working under the guidance of senior data scientists and solution architects to build models that align with strategic visions and client needs.
  • Data Pipeline Management: Designing, implementing, and maintaining data pipelines critical for model training and deployment, ensuring the reliability and efficiency of data infrastructure.

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