• Application Deadline:
• Position: Data Scientist


• Job Type Full Time


• Qualification BA/BSc/HND , MBA/MSc/MA , PhD/Fellowship


• Experience


• Location Lagos


• Job Field Data Science / Research  , ICT / Computer 
  

Job Purpose/Mission  

We are looking for a talented, full-stack data scientist to join the digital team to help deliver affordable solar power to emerging markets. This position offers a great opportunity to work alongside an elite team of data scientists and business professionals and directly contribute to the success of a mission driven company with social and environmental impact. Candidates will get the opportunity to work in a diverse technology stack at scale. . 

Responsibilities 

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  Deploy and maintain data pipelines and machine learning models to predict repayment, solar system device performance, credit scoring and other metrics which are key to the business.  

  
  


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  Contribute to design and maintenance of an analytics database to empower data-driven decisions by analysts and strategists across the organization. 

  
  


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  Design randomized, controlled experiments to understand levers available to improve customer repayment. 

  
  


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  Perform analyses, with statistical components as appropriate, for department leaders to evaluate the impact of pilots and other interventions. 

  
  


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  Leverage external data sources to help EEA grow its business and maximize social impact on customers in emerging markets. 

  
  


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  Train data users across nine markets and the global team on data tools / skills to grow data capacity and culture at EEA. 

  
  

Knowledge and skills  

Experience: 

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  3+ years of relevant experience 

  
  


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  Strong Python, especially in a data analytics/science capacity (ex. pandas, numpy, sklearn, matplotlib) 

  
  


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  Facility with MySQL/Redshift 

  
  


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  Experience with experimental design, statistical analysis, and interpretation of qualitative and quantitative data. 

  
  


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  Good knowledge of statistical tests and analysis 

  
  


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  Ability to communicate model outputs and analyses to stakeholders at various levels of technical expertise

  
  


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  Experience deploying predictive models at scale

  
  


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  Keen eye for detail and thoughtful investigation of data before relying upon it

  
  


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  Demonstrated expertise in strategic analysis to impact decisions

  
  


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  Thrives on teamwork

  
  


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  Bonus: Experience with financial data or credit scoring 

  
  

Qualifications: 

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  MA or PhD in a relevant discipline (Data Science, Software Engineering, Statistics, or another relevant STEM field)  

  
  

Language(s):  

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  English 

  
  


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  French, Swahili or Portuguese is a plus 

  
  

 Technology: 

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  Python or R, jupyter notebooks 

  
  


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  Airflow (or other workflow management systems, such as Luigi) 

  
  


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  Knowledge of Amazon Web Services (AWS) and its services, such as, but not limited to, Cloudwatch, RDS, Redshift, Lambda, EMR, S3, SQS, EC2 

  
  


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  AWS environment: Cloudwatch, RDS, Redshift, Lambda, EMR, SQS, EC2 

  
  


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  Statistical analysis and predictive modeling in python (scipy, stats, sklearn, etc)