Data Scientist at Engie Africa

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 

• 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.  
• Contribute to design and maintenance of an analytics database to empower data-driven decisions by analysts and strategists across the organization. 
• Design randomized, controlled experiments to understand levers available to improve customer repayment. 
• Perform analyses, with statistical components as appropriate, for department leaders to evaluate the impact of pilots and other interventions. 
• Leverage external data sources to help EEA grow its business and maximize social impact on customers in emerging markets. 
• 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: 

• 3+ years of relevant experience 
• Strong Python, especially in a data analytics/science capacity (ex. pandas, numpy, sklearn, matplotlib) 
• Facility with MySQL/Redshift 
• Experience with experimental design, statistical analysis, and interpretation of qualitative and quantitative data. 
• Good knowledge of statistical tests and analysis 
• Ability to communicate model outputs and analyses to stakeholders at various levels of technical expertise
• Experience deploying predictive models at scale
• Keen eye for detail and thoughtful investigation of data before relying upon it
• Demonstrated expertise in strategic analysis to impact decisions
• Thrives on teamwork
• Bonus: Experience with financial data or credit scoring 

Qualifications: 

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

Language(s):  

• English 
• French, Swahili or Portuguese is a plus 

 Technology: 

• Python or R, jupyter notebooks 
• Airflow (or other workflow management systems, such as Luigi) 
• Knowledge of Amazon Web Services (AWS) and its services, such as, but not limited to, Cloudwatch, RDS, Redshift, Lambda, EMR, S3, SQS, EC2 
• AWS environment: Cloudwatch, RDS, Redshift, Lambda, EMR, SQS, EC2 
• Statistical analysis and predictive modeling in python (scipy, stats, sklearn, etc)