7G TECHNOLOGY & IT SOLUTIONS LLP | Jobs | Senior Data Scientist | BigDataKB.com | 03-02-22

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Job Location: Bangalore/Bengaluru

Experience: 5 to 10 yrs

Location: Bangalore

Required Skills:

  • Minimum 5+ years of working experience as a hands-on data scientist is must
  • Programming experience with Python Data Science / Data Mining Candidates with expertise in SAS
  • Prior experience with applied statistics, experimental design, machine learning and Gitlab version control is a must
  • Experience with experimenting on different modeling techniques (supervised and unsupervised learning) and develop data visualization for data stories
  • Experience working with Agile methodologies (SCRUM) Able to build and deploy AI models into production with focus on scaling, monitoring and performance
  • A self-starter with high levels of drive, energy, resilience and a desire for professional excellence with a passion for data and data science Lover of math with a strong understanding of statistical methods
  • Solid understanding of statistics, probability, optimisation, ML and DL- Understanding of classical ML techniques (RDF, Boosting, Regression etc), statistical tests, dimensionality reduction techniques.
  • Understanding of Neural networks, CNNs, LSTMs,GRUs and Transformer architectures.
  • Previous experience in at least one domain of computer vision or NLP related problems.
  • Proficiency with any one of pytorch/tensorflow with a history of implementation of some of the above architectures in either of them.
  • Expertise in designing, deploying and maintaining ML model servers in python (both using the sync and async framework).
  • Experience working with any cloud solution (preferably AWS) for hosting and deployment of model servers.
  • Translating business requirements to data science hypotheses and the outcomes back into business impact projections.
  • Able to recognize business needs and ability to communicate with multiple stakeholders including PMs, business owners and operational teams Able to work independently and collaboratively in an interdisciplinary team environment

Apply Here

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