About the Role

At Computer Associates, we are committed to driving innovation through data. As a Data Scientist in Monitoring Operations, you will play a critical role in analyzing vast datasets, optimizing operational efficiencies, and developing predictive models to enhance system monitoring and performance.

This role is ideal for analytical thinkers who thrive in a fast-paced environment and are passionate about leveraging data to solve complex problems. You will collaborate with cross-functional teams, design advanced algorithms, and ensure our monitoring systems operate with precision and efficiency.

Key Responsibilities

• Develop and implement machine learning models to improve system monitoring and anomaly detection.
• Analyze large datasets to identify trends, patterns, and areas for operational improvement.
• Design and refine predictive analytics tools to enhance monitoring efficiency.
• Work closely with IT, engineering, and operations teams to optimize system performance.
• Automate data processing pipelines and reporting for real-time insights.
• Ensure data quality and integrity while maintaining compliance with industry standards.

What We’re Looking For

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience in data science, machine learning, or analytics, preferably in monitoring operations.
• Proficiency in Python, R, SQL, or similar programming languages.
• Strong understanding of statistical modeling, anomaly detection, and time-series analysis.
• Hands-on experience with cloud computing platforms and big data technologies.
• Ability to work collaboratively in a dynamic, results-driven environment.

Why Join Us?

At Computer Associates, you’ll be part of a forward-thinking team that values innovation and problem-solving. We offer:

• A culture that fosters creativity and growth.
• Opportunities to work with cutting-edge technology and industry experts.
• Competitive salary and comprehensive benefits package.
• A collaborative and inclusive workplace where your ideas matter.