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Senior Data Scientist

@ Parity



Contract Typepermanent
Experience Level5Year (s)

More Info:

Pariti is a venture-backed startup building the infrastructure for entrepreneurship in emerging markets. 

We are looking for a Senior Data Scientist that can support us as we build out our community platform. We raised our seed round late last year and have been busy executing on our strategy to develop the African startup ecosystem. We are looking for hungry, committed and talented individuals to join our team and need support across product, operations, strategy, marketing and finance. We have tons of work for you to get involved with and if you're the right fit, we're confident you can add value.

The ideal candidate will have extensive experience in ML & AI and a background in a highly quantitative field (computer science, math, statistics, actuarial science, engineering, or related technical field), and should be able to design and run data science projects.


Here's what you'll be working on

  • Be responsible for our data science projects
  • Work closely with engineering to deploy models to production
  • Mentor data scientists in the team by providing actionable feedback
  • Own business KPIs attached to data science projects
  • Perform advanced feature engineering tasks across a variety of data sources to identify hidden patterns that can be used to improve business processes, algorithms and products
  • Choose the appropriate techniques and algorithms to solve various business problems based on technical, statistical and analytical approaches
  • Build, test, implement, deploy and monitor machine learning models
  • Build, deploy and maintain machine learning pipelines and infrastructure
  • Write production ready code that contributes to the core products of the company
  • Write clear and concise documentation for data science processes and algorithms
  • Create data visualizations, reports and dashboards


What will make you stand out

  • Very knowledgeable about various ML concepts and algorithms
  • Proficiency in Python and data science libraries such as Pandas, Numpy, Scipy, Scikit-learn, Pytorch or Tensorflow
  • Great communication skills, and ability to work closely with technical and non technical team members alike to solve real world problems
  • Ability to work independently in a remote-first company with lots of ambiguity

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