Senior Data Scientist
We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana.
If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you're seeking an environment for continuous learning and improvement, we'd love to hear from you!
Virtana is a remote first work environment so you'll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies.
Role Responsibilities:
- Research and test machine learning approaches for analyzing large-scale distributed computing applications.
- Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness
- Work closely with other functional teams to integrate implemented systems into the SaaS platform
- Suggest innovative and creative concepts and ideas that would improve the overall platform
Qualifications:
The ideal candidate must have the following qualifications:
- 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
- MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
- In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
- Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
- Experience in working on modeling graph structures related to spatiotemporal systems
- Programming skills in Python is a must
- Experience in developing and deploying on cloud (AWS or Google or Azure)
- Good verbal and written communication skills
- Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
About Virtana:
Virtana is the leader in observability for hybrid infrastructure. The AI-powered Virtana Platform delivers a unified view across applications, services, and underlying infrastructure, correlating user impact, service dependencies, performance bottlenecks, and cost drivers in real time. Trusted by Global 2000 enterprises, Virtana helps IT, operations, and platform teams improve efficiency, reduce risk, and make faster, AI-driven decisions across complex, dynamic environments. Learn more at virtana.com.
Virtana is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees.
Recent milestones include:
- The acquisition of Zenoss to create a unified observability platform combining deep infrastructure analytics, AI-driven event intelligence, and service-level visibility.
- Launching AI Factory Observability (AIFO) to meet the demanding visibility, performance, cost, and risk challenges of AI infrastructure, including tight integration with GPU workloads and modern hybrid environments.
Virtana is trusted by Global 2000 enterprises to optimize performance, reduce risk, and control costshelping them drive business outcomes with complete observability across every layer of infrastructure.
Mission & What We Believe:
Virtana's mission is to empower IT, operations, and platform engineering teams to see everything, understand everything, and act with confidence, especially in complex, hybrid, and AI-intensive environments. The company believes:
- Observability isn't optional in modern infrastructure; it's foundational.
- Deep, correlated visibility (across computing, storage, network, service/app dependencies, AI workloads) drives better performance, cost efficiency, and risk mitigation.
- AI/ML, topology mapping, event intelligence, root cause analysis, and cost forecasting are essential differentiators.
- Customers want not just metrics, but insight, predictability, and control.
