Data Science Strategist
10 hours ago
We are seeking a Data Science Strategist to play a critical role in driving the development of AI and machine learning models to enhance Predictive and Proactive Operations. The ideal candidate will have 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:- 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.
The ideal candidate will possess a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, along with 5+ years of experience in data science, focusing on machine learning and predictive analytics.
Preferred qualifications include certifications in AI, machine learning, or data engineering, as well as experience deploying machine learning models in production environments. Additionally, proficiency with programming languages like Python, R, and SQL is essential, along with familiarity with cloud platforms and MLOps tools.
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