Lead Data Scientist Job in Yellomonkey Labs

Lead Data Scientist

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Job Summary

Responsibilities:

  • Collaborate with product and business teams to understand all aspects of the problem
  • Define the right target metrics that best represent the end-user value
  • Apply knowledge of ML, statistics, and advanced mathematics to conceptualize, experiment and design an intelligent system
  • Build efficient systems for processing large amounts of data; be proficient with distributed programming frameworks such as Hadoop/Spark
  • Solid background in at least two of the following areas: Natural language processing, statistical ML techniques, graph algorithms, constraint optimization, signal processing (speech or vision), deep learning, distributed systems
  • Work closely with Data Scientists and come up with scalable system and model architectures for enabling real-time ML/AI services
  • Build ML pipelines end-to-end, including stages such as data pre-processing, model generation, cross-validation, and share feedback

Qualifications:

  • A Bachelor s degree or a higher degree in Computer Science, Statistics, Mathematics, or a related field.
  • Strong problem-solving and programming skills
  • Solid understanding of mathematical underpinnings behind Machine Learning algorithms and proficiency in probability, statistics, linear algebra, calculus, and optimization.
  • Must have experience in ML with a proven record of successful ML projects with strong individual contribution
  • Experience with NLP, Distributed Systems, large scale computing, Big Data technologies like Hadoop and Spark are plus.
  • Solid background in at least two of the following areas: Natural language processing, statistical ML techniques, graph algorithms, constraint optimization, signal processing (speech or vision), deep learning, distributed systems.
  • Proficiency with Database systems, schema design (SQL and noSQL)
  • Must have solid Experience on any of these tools CNN, LSTM, Resnet
Experience Required :

Fresher

Vacancy :

2 - 4 Hires

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