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  • Posted: Oct 6, 2022
    Deadline: Not specified
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    ENGIE is a leading global energy company that builds its businesses around a model based on responsible growth to take on energy transition challenges. We provide individuals, cities and businesses innovative solutions based on our expertise in 4 key sectors: independent power production, natural gas, renewable energy and energy efficiency services to a low...
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    Data Scientist

    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) 

    Method of Application

    Interested and qualified? Go to Engie Africa on boards.greenhouse.io to apply

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