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Data Scientist

IT, Non IT
Posted 8 months ago


  • Selecting features, building and optimizing models using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Adopting new research methodologies including deep learning (CNNs LSTMs)on projects

Either experienced in computer vision or NLP (text analytics)

  • Excellent understanding of machine learning techniques and algorithms
  • Proficiency with R/ Octave for modeling, Python & Java for production-ready code.
  • Experience with common data science toolkits, such as R/ Octave for modeling, Python & Java for production-ready code. Excellence in at least one of these is highly desirable.
  • Experience with data visualization and extracting insights from them.
  • Proficiency in using query languages such as SQL, Learning in the area of NLP, predictive models & recommendation engines is a big plus
  • Crunch a large volume of data, observe trends and build scalable & analytical models.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills
  • Data-oriented personality
  • Good knowledge of databases like NoSQL, MongoDB, Postgre, etc.
  • Perform Exploratory Data Analysis and Statistical Analysis; clearly present the results of an analysis to customers and management.
  • Experience with AWS, Google Cloud is a plus
  • Exposure with deep learning algorithms is a big plus

BTech/MTech preferable in IT/computer science Background

2+ years of work experience

Job Features

Job Category

Part time, Permanent

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