Artificial Intelligence Data Analyst

3 semanas atrás


Lisboa, Lisboa, Portugal Unit4 Tempo inteiro

We are seeking an experienced Data Scientist to drive the automation of business processes across the customer lifecycle.

Key Responsibilities:
  • Data Integration & Automation: Develop and deploy machine learning models to automate processes and integrate customer data across multiple systems of record, reducing manual effort within the customer lifecycle stages.
  • Process Optimization: Analyze and improve customer workflows to identify opportunities for automation and remove manual tasks.
  • Predictive & Prescriptive Analytics: Build predictive models to anticipate customer needs, enabling proactive support and decision-making within the Customer Success team.
  • Tool Development: Create tools and frameworks to enable Customer Success Managers (CSMs) to interact with automated insights, reducing repetitive tasks and enhancing customer interaction efficiency.
  • Collaborative Solution Design: Work closely with cross-functional teams to ensure AI solutions align with customer outcomes and business objectives.
  • Continuous Improvement: Regularly evaluate the performance of deployed models and adjust them to meet evolving customer and business needs.

Key Accountabilities:

  • Process Automation Implementation: Design, test, and deploy machine learning models and automation solutions to achieve seamless integration of customer data.
  • Performance Monitoring & Adjustments: Track the success of automation tools and adjust algorithms to optimize their effectiveness and align with customer outcomes.
  • Data Accuracy & Integration: Ensure data consistency across systems and work to enhance data integration for a seamless end-user experience.
  • Stakeholder Communication: Regularly report on automation initiatives and impact metrics to stakeholders, demonstrating value and return on investment.

Benefits of this Role:

  • A competitive salary of $120,000 - $150,000 per year, based on location and experience.
  • The opportunity to work with cutting-edge technology and develop innovative solutions.
  • A collaborative and dynamic work environment with talented colleagues.
  • A commitment to sustainability and social responsibility, with initiatives such as the Act4Good program.
  • A safe and inclusive working environment, supported by Employee Resource Groups.


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