We are looking for a Data Scientist interested in solving one of the world's largest problems.

  • Our team is doing cutting edge work in the field of Data Science and Machine Learning, using unique data to give people in emerging markets access to something that they’ve never had before.
  • Our Data Scientists work directly with Credit, Engineering, and Data Analytics teams to develop and iterate models that promote our vision of financial access for a billion people in emerging markets around the world.
  • We leverage a unique, diverse, and deep data set, including text, network analysis, and image recognition, you’ll be surprised by the connections between our different data sources!
  • If you are motivated to change the world through financial freedom and love working with people and data to achieve this mission, we want you here at Neural Nest AI.
  • What You'll Do
  • Leverage a unique, diverse, and deep data set to find connections across these data sources.
  • Communicate findings to the team and integrate them into models.
  • Own the full-cycle of a model from ideation and training through deployment into our production environment.
  • This might be a credit model, fraud model, marketing model, or an iteration of an existing model.
  • Monitor model performance once deployed and iterate rapidly if necessary.
  • Contribute and share your findings and knowledge of data science and other modeling with all appropriate cross-functional teams.

What you'll need:

  • 1+ years of experience in a data science role or equivalent position
  • Fluent in Python and packages related to machine learning
  • Experience with maintaining data science models in a production environment

Job Details

Total Positions:
5 Posts
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Minimum Education:
Bachelors
Career Level:
Entry Level
Minimum Experience:
Less than 1 Year
Apply Before:
Feb 01, 2021
Posting Date:
Jan 20, 2021

NeuralNest AI (Pvt) Ltd.

Information Technology · 1-10 employees - Lahore

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