Description

Job Description:

  • The Senior Data Scientist is responsible for end-to-end data science solutions for our data products.
  • Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning
  • Works closely with data engineers, analysts, ML Engineers and application developers to help build ML and statistics driven models.
  • Have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people.
  • Good at analyzing existing code, finding bugs in the existing solutions and recommending how to improve or enhance the baseline.
  • Communicate complex models and analysis in a clear and precise manner coupled with actionable conclusions and recommendations.
  • You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.
  • You have experience with deep learning libraries like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop.
  • Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU.
  • Have applied industry experience in NLP/NLU, Forecasting and Anomaly detection solution development.
  • Build solutions that are easy to integrate into external frameworks or existing platforms.
  • You bring a strong engineering mindset and exposure to software engineering principles, Agile methodologies.
  • Functional knowledge of Google Cloud Platform or Azure Machine Learning Platform and their ML and compute components.
  • Experience in Retail customer behavior analysis and designing algorithms on Hadoop ecosystem at scale
  • Experience with data pipeline and workflow management tools: Airflow, Kubeflow & Kafka topic etc would be beneficial

Education

Bachelor’s Degree