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Data Scientist
Networking & Cybersecurity Solutions
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Data Scientist

at Networking & Cybersecurity Solutions

Agency job
4 - 8 yrs
₹40L - ₹60L / yr
Bengaluru (Bangalore)
Skills
skill iconData Science
Data Scientist
skill iconR Programming
skill iconPython
skill iconAmazon Web Services (AWS)
Spark
Kafka
  • Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Keep up-to-date with latest technology trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design

Qualifications/Requirements:

  • Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
  • Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
  • 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
  • Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
  • Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
  • Good team worker with excellent communication skills written, verbal and presentation

Desired Experience:

  • Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
  • Knowledge and experience with NLP technology
  • Previous work in a start-up environment
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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