Data Scientist

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EASE Defined: Entrepreneurs, Adopting, To Serve, Each Other

EASE offers A predictive freelance management system that gives organizations access to a tailored and screened pool of on-demand remote talent.

Job Description: Ease is seeking Data science to support our client's research and development needs. As a Data Scientist, you will be a part of Digital Transformation team solving complex business problems using data and analytics-driven approach. In this role, you will be responsible for analyzing structured and unstructured datasets, perform data wrangling and feature engineering, devise innovative data science solutions and build production-ready models. You will work in a cross-disciplinary team comprising data engineers, software developers, and product champions among others.

Requirements :

  • You have 4+ years of experience as a Data Scientist in a medium to large organization, with a proven record of analysis and research that positively impacts your team.
  • You have superior knowledge of statistical analysis methods, such as input selection, logistic and standard regression, random forests, etc.
  • You have extensive experience with pandas, NumPy, and sklearn. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, or similar) is a plus
  • You are capable of working with engineers to build an actual production system that uses machine learning and artificial intelligence. We don’t expect you to write production-quality code, but you should have some programming experience.
  • You are comfortable with at least “medium data” technologies and how to transcend the “memory-bound” nature of most analytics tools.
  • You possess excellent SQL/relational algebra skills, ideally with at least a basic knowledge of how different types of databases (e.g.: column vs row storage) work.
  • You possess excellent communication skills and the ability to clearly communicate technical concepts to a non-technical audience.