Data-Driven Decision Maker

6 hours ago

Stockholm, Stockholm, Sweden Professional Galaxy AB Full time

Role Description

We are seeking a highly skilled Data-Driven Decision Maker to join our team at Professional Galaxy AB. As a Data-Driven Decision Maker, you will play a key role in developing and implementing AI and machine learning models to enhance Predictive and Proactive Operations.

Main Responsibilities:

  • Data Science and Model Development:
    • Design and implement predictive and prescriptive models to address operational challenges.
    • Develop algorithms to optimize multi-system incident workflows and improve SLA compliance.
    • Collaborate with data engineers to build scalable data pipelines and ensure efficient data processing.
  • Incident Management Solutions:
    • Apply advanced analytics to enhance end-to-end incident workflows across multiple systems.
    • Leverage machine learning to automate detection, triage, and escalation processes.
    • Monitor and fine-tune models to ensure accuracy, efficiency, and reliability.
    • Partner with product teams, service delivery managers, and architects to align solutions with business goals.
    • Act as a subject matter expert in data science, providing insights and recommendations to improve processes.
    • Translate business requirements into actionable data science solutions.
    • Analyze existing processes to identify inefficiencies and propose data-driven enhancements.
    • Stay updated on industry trends, tools, and technologies to incorporate best practices into the team's work.
    • Contribute to building a library of reusable models and solutions to support the broader organization.
    • Develop dashboards and reports to visualize insights, track SLA adherence, and measure MTTR improvements.
    • Communicate findings and progress to both technical and non-technical stakeholders effectively.

Requirements:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Certifications in AI, machine learning, or data engineering are a plus.
  • 5+ years of experience in data science, with a focus on machine learning and predictive analytics.
  • Proven experience deploying machine learning models in production environments.
  • Experience in incident management or operational optimization is highly desirable.
  • Strong programming skills in Python, R, and SQL.
  • Proficiency with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch.
  • Familiarity with cloud platforms (e.g., Azure, GCP, AWS) and MLOps tools.
  • Experience with ITSM platforms (e.g., ServiceNow) and monitoring tools (e.g., Splunk, Dynatrace).
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively in a cross-functional environment.
  • Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.

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