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Website Ecom Express

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Lead/Collaborate with a team of data scientists in developing and delivering machine learning models for production setting
  • Improve key organizational metrics through developing data-science based solutions
  • Perform data wrangling and due diligence activities on data quality
  • Supervising the data acquisition & labeling process if more data is needed
  • Performing Exploratory Data Analysis (EDA), defining the preprocessing or feature engineering to be done on a given dataset, developing Machine Learning models, validating models, deployment, etc.
  • Collaborate with the application development team for deploying the models
  • Proactively drive impact to business by owning the data science initiatives end-to-end and collaborating with other stakeholders
  • Collaborate with the Operations, Network, Control Tower and Business Analysis team to
  • develop cutting edge analytics solutions that improve the business
  • Maintain thorough and comprehensive documentation of data science initiatives
  • Develop robust work products by following best practices through all stages of development, testing & deployment

ELIGIBILITY:

  • BE/Tech in Engineering, Masters/PhD candidates preferred
  • Strong background in strong in Data Science, Computer Science, Operations Research & Statistics concepts
  • Deep understanding of statistical modeling, machine-learning approaches & deep-learning
  • Experience in optimization algorithms, or experience working with unstructured datasets
  • for Natural Language Processing or Image Analytics would be preferred
  • Extensive experience solving analytical problems using quantitative approaches for large datasets. Experience in using Big Data platforms, Spark & Hadoop platform would be preferred
  • Proficient in Python & R, with sound knowledge of OOPS concepts
  • 1-3 years of experience in AI solution development and / or integration
  • Excellent communication skills and ability to effectively manage stakeholders
  • Experience with working on a variety of data science use-cases across multiple domains
  • Excellent understanding of statistics, probability, linear algebra and other mathematical concepts that supports modern ML and AI concepts and should be able to optimize AI/ ML outcomes

Experience with REST APIs, Python Django/Flask

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