Senior Data Scientist

Position Overview:

Senior Data Scientist Engineer

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.

Job Location

Qualifications:

The ideal candidate must have the following qualifications:

• 6 + 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 understanding and usage of LLM models and Prompt engineering is preferred.
• 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 delivers the industry’s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more.

Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana’s software solutions for over a decade.

Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success.

Company Profitable Growth and Recognition

In FY2023 (Fiscal year ending January 2023), Virtana earned:

— Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably

— Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth

— Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue

— Positive Cash Flow, 171% YoY cash flow growth