Arbetsbeskrivning

Overview:The Senior Data Scientist will play a critical role in driving the development of AI and machine learning models to enhance Predictive and Proactive Operations. The role 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. The Senior Data Scientist will work closely with cross-functional teams and contribute to building a robust and efficient operational framework.

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. • 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. 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.• 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.Preferred:• Hands-on experience in Predictive and Proactive Operations or similar domains. • Knowledge of incident, event, or workflow management processes. • Familiarity with SLA-driven operational environments. • Data-driven mindset with a focus on customer-centric solutions. • Proactive and adaptable, with a passion for continuous learning. • Collaborative and team-oriented, with a strong ability to work across departments. • 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 adherence. • Contribution to building scalable and reusable data science solutions.

Offer due date:2025-01-04

Start date:2025-01-06

End date:2025-12-31