Docsumo | Jobs | Lead Engineer ( Data Science ) | BigDataKB.com | 23-02-22

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Job Location: Remote

Responsibilities:
  • You will hire, train & lead a team of 5 to 10 ML engineers and data scientists to build models for information extraction from unstructured data.
  • You will combine data sciences depth, programming expertise, and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem-solving across the enterprise.
  • Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems.
  • Build data products in collaboration with the engineering team.
  • Explore and recommend new tools and processes which can be leveraged across the data preparation pipeline for capabilities and efficiencies
  • Communicate with clients and convert the requirement to product feature and sprint planning.
Requirements
  • Weโ€™re looking for someone with 5+ years of experience manipulating data sets and building statistical models, with a Bachelorโ€™s/Masterโ€™s/PhD degree in Statistics, Mathematics, Computer Science or another quantitative field.
  • Previously handled team of at least 5+ DS and ML engineers.
  • Data-oriented personality. Strong problem solving skills with an emphasis on product development.
  • Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms.
  • Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance.
  • Great communication skills. Excellent written and verbal communication skills for coordinating across teams.
  • Working with OpenCV, TensorFlow and Keras
  • Working with Python: Numpy, Scikit-learn, Matplotlib, Pandas
  • Familiarity with docker, kubernetes and MLops.
  • Good knowledge of AWS or GCP infrastructure.
  • Theoretical and practical knowledge of NoSQL databases with hands-on experience in at least one database system.

Apply Here

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