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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 

What you’ll do here:

• Develop and maintain software applications using Python
• Collaborate with cross-functional teams to define software requirements and design specifications
• Conduct code reviews and provide constructive feedback to team members
• Troubleshoot and debug software issues, identify root causes, and implement effective solutions
• Contribute to the design and architecture of software systems
• Perform unit testing and integration testing to ensure software quality and reliability
• Keep up-to-date with the latest trends and best practices in software development
• Create and maintain detailed technical documentation for system designs, processes, and applications
• Mentor junior developers and provide technical guidance to ensure the delivery of high-quality solutions.

What you will need to thrive:

• Bachelor's degree in Computer Science or a related field
• 3+ years of Proven experience as a Python Engineer or similar role
• Strong understanding of relational databases like MySQL and NoSQL
• Experience with software development methodologies and best practices
• Solid knowledge of relational databases and SQL
• Exposure to front-end technologies such as JavaScript and React
• Flexibility to adapt to changing priorities and handle multiple tasks simultaneously
• Proven experience in mentoring junior developers and fostering a culture of continuous learning.
• Attention to detail and a commitment to delivering high-quality software solutions

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Job Description – Data Science  

Basic Qualification:

• ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
• Strong Analytical skills and application of Statistical techniques to problem solving
• Expertise in algorithms, data structures and performance optimization techniques
• Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
•   Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.

Responsibilities

The Data Engineer/Analyst will

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  
• Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
  
• Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
  
• Coordinate with different R&D and Business teams to implement models and monitor outcomes.
  
• Mentor team members towards developing quick solutions for business impact.
  
• Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.
  

• 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
  
• Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
  
• Knowledge on Microsoft Azure will be desired.
  
• Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
  
• Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
  
• Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
  
• Experience in infra development / building platforms is highly desired.
  
• A drive to learn and master new technologies and techniques.
  

Job Title : Analyst / Sr. Analyst – Data Science Developer - Python

Exp : 2 to 5 yrs

Loc : B’lore / Hyd / Chennai

NP: Candidate should join us in 2 months (Max) / Immediate Joiners Pref.