Data Science Lead

6 hours ago


Stockholm, Stockholm, Sweden TN Sweden Full time

About TN Sweden

TN Sweden is a leading provider of innovative technology solutions, driving growth and optimization through strategic business insights. Our team of experts combines cutting-edge technology with tailored consultancy services to streamline processes and elevate our clients' competitive edge.

Overview:

The Senior Data Scientist will play a pivotal role in developing AI and machine learning models to enhance Predictive and Proactive Operations. This requires a blend of technical expertise, analytical thinking, and collaborative skills to create innovative data-driven solutions that optimize incident management workflows, improve SLA adherence, and reduce MTTR.

Key Responsibilities:

  1. 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.
  2. 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.

Qualifications:

  1. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  2. Certifications in AI, machine learning, or data engineering are a plus.
  3. 5+ years of experience in data science, with a focus on machine learning and predictive analytics.
  4. Proven experience deploying machine learning models in production environments.
  5. Experience in incident management or operational optimization is highly desirable.


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