Predictive Model Developer

5 days ago


Stockholm, Stockholm, Sweden TN Sweden Full time
Job Requirements

To be successful as a Senior Data Scientist at TN Sweden, you will need to have a strong background in data science, machine learning, and statistics. You should have 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 is also essential.

You should have a 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. Strong programming skills in Python, R, and SQL are required, as well as proficiency with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch.

Familiarity with cloud platforms (e.g., Azure, GCP, AWS) and MLOps tools is highly desirable. Experience with ITSM platforms (e.g., ServiceNow) and monitoring tools (e.g., Splunk, Dynatrace) is also beneficial. Strong analytical and problem-solving skills, as well as excellent communication skills, are necessary for this role.

Key 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.


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