Highly Experienced Data Professional Wanted

1 week ago

Dublin, Dublin City, Ireland beBeeDataScientist Full time €100,000 - €140,000

We are seeking an experienced data professional to join our team in developing and maintaining a unified platform for Small and Medium Enterprises.

This role will involve the design, development, and deployment of machine learning models and business intelligence projects. You will work closely with cross-functional teams to drive data-driven decision making throughout the organization.

The ideal candidate will have a strong foundation in software engineering and be proficient in using big data tools, programming languages, and statistics and machine learning libraries.

In addition to technical skills, the successful candidate will possess excellent communication and collaboration skills, enabling them to effectively translate statistical findings into actionable insights for stakeholders.

Key responsibilities include analyzing various data sources, developing sophisticated multivariate models, and communicating insights to cross-functional teams and business partners.

You will also be responsible for proactively identifying opportunities to leverage data insights and drive business outcomes.

About this role:

  • Analyze diverse data sets to deliver data-driven insights for small and medium-sized enterprises.
  • Develop complex analytics solutions, including machine learning models and dashboards.
  • Collaborate with cross-functional teams to identify areas for process improvement.
  • Communicate technical concepts to non-technical stakeholders.

Requirements:

  • Proven experience in data analysis, machine learning, and software development.
  • Strong understanding of big data tools, programming languages, and statistics and machine learning libraries.
  • Excellent communication and collaboration skills.
  • Able to work independently and as part of a team.

Benefits:

  • Opportunity to work on high-impact projects that drive business outcomes.
  • Collaborative and dynamic work environment.
  • Ongoing training and professional development opportunities.

Other information:

  • Demonstrated ability to combine, interrogate, and manipulate large data sets using big data tools.
  • Extensive experience in using common programming languages and different statistics and machine learning libraries.
  • Ability to directly communicate with business partners to translate statistical findings into business insights.
  • Experience in deploying machine learning models to cloud-based production environments.

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