Senior Data Scientist
Rasulson Consulting AB / Datajobb / Stockholm
2024-12-13
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hela Sverige Visa alla jobb hos Rasulson Consulting AB i Stockholm,
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hela Sverige The Senior Data Scientist will play a vital role in advancing AI and machine learning capabilities aimed at Predictive and Proactive Operations. This position requires a combination of technical expertise, analytical thinking, and collaboration to develop data-driven solutions that enhance incident management workflows, ensure SLA compliance, and reduce MTTR. The Senior Data Scientist will work closely with cross-functional teams to build and optimize a robust operational framework.
Key Responsibilities:
Data Science and Model Development:
• Design and implement predictive and prescriptive models to address operational challenges.
• Develop algorithms aimed at optimizing incident workflows across multiple systems and improving SLA adherence.
• Collaborate with data engineers to build scalable data pipelines and ensure efficient data processing.
Incident Management Solutions:
• Apply advanced analytics to improve end-to-end incident workflows across various systems.
• Leverage machine learning to automate detection, triage, and escalation processes.
• Monitor and continuously refine models to ensure accuracy, efficiency, and reliability.
Collaboration and Stakeholder Engagement:
• Work closely with product teams, service delivery managers, and architects to align data science solutions with business objectives.
• Serve as a subject matter expert, providing insights and recommendations to enhance operational processes.
• Translate business requirements into actionable data science solutions.
Continuous Improvement:
• Analyze existing processes to identify inefficiencies and propose data-driven improvements.
• Stay current with industry trends, tools, and technologies to integrate best practices into team workflows.
• Contribute to building a library of reusable models and solutions to support the broader organization.
Data Visualization and Reporting:
• Develop dashboards and reports to visualize insights, track SLA compliance, and measure improvements in MTTR.
• Effectively communicate findings and progress to both technical and non-technical stakeholders.
Required Qualifications:
• 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.
Experience:
• 5+ years of experience in data science, focusing on machine learning and predictive analytics.
• Proven track record of deploying machine learning models in production environments.
• Previous experience in incident management or operational optimization is highly desirable.
Technical Proficiency:
• Strong programming skills in Python, R, and SQL.
• Proficiency in 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).
Skills:
• Strong analytical and problem-solving capabilities.
• Ability to work effectively in cross-functional teams.
• Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
Preferred Qualifications:
• Hands-on experience with Predictive and Proactive Operations or similar domains.
• Knowledge of incident, event, or workflow management processes.
• Familiarity with SLA-driven operational environments.
Key Behaviors:
• Data-driven mindset focused on customer-centric solutions.
• Proactive and adaptable, with a passion for continuous learning.
• Strong collaborative skills, with the ability to work across different teams and departments.
Specific Needs in Predictive and Proactive Operations:
• Ability to design and implement models that enhance multi-system operational efficiency.
• Focus on reducing IT operations incidents, false positive alerts, MTTR, and improving SLA compliance.
• Contribution to the development of scalable and reusable data science solutions.
Så ansöker du Sista dag att ansöka är 2025-01-05
Klicka på denna länk för att göra din ansökan E-post:
contact@rasulson.com Omfattning Detta är ett heltidsjobb.
Arbetsgivare Rasulson Consulting AB (org.nr 559322-0733)
Kontakt SAIDOBID RASULSON
contact@rasulson.com 0142-150 00 Jobbnummer 9059174