Machine Learning Expert
3 days ago
We are seeking a Senior Data Scientist to join our team 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 ideal candidate will 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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