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Sr. Data Scientist
Sr. Data Scientist
Virtana's logo

Sr. Data Scientist

Krutika Devadiga's profile picture
Posted by Krutika Devadiga
6 - 10 yrs
Best in industry
Chennai
Skills
skill iconPython
pandas
SciPy
NumPy
Supervised learning
Unsupervised learning
Clustering Algorithms
feature engineering
model elvaluation
model valuation
hyperparameter tunning
Scikit-Learn
TensorFlow
Keras

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. 


Work Location- Chennai


Job Type- Hybrid


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 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 

 

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About Virtana

Founded :
2008
Type :
Product
Size :
100-500
Stage :
Profitable

About

Virtana’s AI-powered platform delivers the deepest hybrid infrastructure observability, empowering you to optimize performance, reduce costs, and mitigate risks.


Founded in 2008, more than 150 Global 2000 enterprise customers such as AstraZeneca, Dell, Apple, Geico, Costco, Nasdaq, and Boeing, have long valued Virtana's software solutions. With advanced AI-powered capabilities, Virtana helps IT teams proactively address issues, streamline operations, and transform infrastructure into strategic assets in today's rapidly evolving digital landscape.


In 2023 Virtana Corp. was named:

  • Top 20 Coolest Cloud Monitoring Companies (Cloud 100) by CRN.
  • Best Place to Work in the Bay Area by Comparably.
  • In eight Gartner® reports for innovation in Infrastructure Monitoring and Artificial Intelligence for IT Operations (AIOps).


💰 Funding details

In the most recent funding round, Virtana raised $73 million in Series C funding in January 2022, led by Atalaya Capital Management and Elm Park Capital Management, among others. Virtana has raised a total of $192.42 million so far!

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Candid answers by the company

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Virtana builds the industry’s deepest hybrid infrastructure observability platform, giving enterprises unmatched visibility into their complex IT environments -whether on‑premises, in the cloud, or across both.

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Experience the power of complete infrastructure visibility and AI-driven intelligence across your entire IT ecosystem. From cost optimization to performance enhancement, Virtana Platform transforms complex data into actionable insights—empowering you to make decisions that drive business success.
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