Qualys Hiring Drive 2024 For Data Scientist | Location Pune

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Qualys Hiring Drive 2024: Qualys Hiring Drive 2024 for its Data Scientist. Qualys Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a BS-MS, or Ph.D. degree in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence/Machine Learning, or equivalent fields. if you are interested, please apply as soon as possible.

Company Name: Qualys

Role: Data Scientist

Location: Pune

Experience: 0-3 years

Qualification: BS or MS or Ph.D. in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence/Machine Learning, or equivalent fields

Batch: Any

Job Type: Full Time

Salary: 14.67 LPA (Expected)

Qualys Hiring Drive 2024

Job Description:

  • We are seeking a Data Scientist to help build next-generation Security Analytics products.
  • Working with a team of engineers and architects, you will be responsible for prototyping, designing, developing, and supporting a highly scalable SaaS-based Security Analytics product.
  • This is a great opportunity to be an integral part of a team-building Qualys’ next-generation Micro-Services based technology platform processing over 100 million transactions and terabytes of data per day, leverage open-source technologies, and work on challenging and business-impacting projects.
  • We are looking for Data Scientist, who will support our Research and Development team with insights gained from analyzing security data.
  • The ideal candidate has a background in a quantitative or technical field, is adept at using large data sets to find opportunities for product and process optimization, and using models to test the effectiveness of different courses of action.
  • They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.

Analytics Jobs Hiring Drive 2024 For Data Science Engineer | Work From Home


  • 0-3 years of work experience with BS or MS or Ph.D. in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence/Machine Learning, or equivalent fields. Specialization in data science/machine learning is preferred.
  • Publication of original research in the field of AI/ML in reputed and peer-reviewed journals or conferences is highly desirable
  • Experience with data cleansing, data engineering, data quality assessment, and using analytics for data assessment.
  • Understanding and demonstrated project work in Object-oriented programming concepts – Python, Java, Scala etc.
  • Hands-on Experience in Data science programming skills – Python, R
  • Solid theoretical and practical understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Experience of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Having experience in developing some use cases related to Cyber Security.
  • Familiarity with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Flink, Spark, Cassandra, etc.
  • Experience in visualizing/presenting data for stakeholders using: Matplotlib, Seaborn, ggplot or any data visualization tool.
  • Java knowledge would be an add-on.
  • Good communication skills and a Team player.
  • Can’t find a suitable opening?


  • Extract analysis/insights on given data using Data Mining and exploratory data analysis method.
  • Designing and deploying Machine Learning Algorithms – both Shallow learning models and Deep learning models
  • Develop custom data models and algorithms to apply to data sets.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Collaborate with data and subject matter experts throughout the organization to identify opportunities for leveraging data to drive business solutions.
  • Understand the Distributed Ecosystem/Cloud computing services and deploy ML models on the same.

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