Data Scientist

Job Description

MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable, but must have strong quantitative and applied mathematical skills. Certification courses in Data Science/ML will be an added advantage.

Responsibilities

Passionate about technology, with personal ownership for the work you do. Work directly with server-side developers.

  • Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on live customer data to improve efficacy, and robustness
  • Work closely with other functional teams to integrate implemented systems into the SaaS platform
  • Create use cases with respect to domain for solving a business problem.
  • Research and test novel machine learning approaches for analyzing large-scale distributed computing applications.
  • Suggest innovative and creative concepts and ideas that would improve the overall platform
  • Strong understanding of the most recent trends around telecom industry and adoption.

Requirements

  • Extensive experience handling data analytics in the telecom industry or on telecom products.
  • Exposure or Experience in building Recommendation engine in a large scale.
  • In-depth working knowledge beyond coursework, familiarity with statistical techniques and current ML techniques, both supervised and unsupervised learning techniques and other ML Techniques.
  • Experience on end to end ML models deployment in production.
  • Experience in working on modeling graph structures related to spatiotemporal systems.
  • Keras, TensorFlow,PyTorch. And knowledge of Big Data tools and environment.
  • Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization.
  • Knowledge of MySQL/No SQL is an added advantage.
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