Senior Data Scientist
Senior Data Scientist
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Job Description
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 datadriven solutions that optimize incident management workflows improve SLA adherence and reduce MTTR. The Senior Data Scientist will work closely with crossfunctional 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 multisystem 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 endtoend incident workflows across multiple systems.
Leverage machine learning to automate detection triage and escalation processes.
Monitor and finetune 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 datadriven enhancements.
Stay updated on industry trends tools and technologies to incorporate best practices into the teams 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 nontechnical stakeholders effectively.
Qualifications:
Bachelors or Masters 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 Scikitlearn 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 problemsolving skills.
Ability to work collaboratively in a crossfunctional environment.
Excellent communication skills with the ability to explain complex concepts to nontechnical stakeholders.
Preferred:
Handson experience in Predictive and Proactive Operations or similar domains.
Knowledge of incident event or workflow management processes.
Familiarity with SLAdriven operational environments.
Datadriven mindset with a focus on customercentric solutions.
Proactive and adaptable with a passion for continuous learning.
Collaborative and teamoriented with a strong ability to work across departments.
Ability to design and implement models that enhance multisystem 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:
Start date:
End date:
Employment Type
Full Time
