Job Title: Data Scientist
Organisation: ENGIE Energy Access
Duty Station: Kampala, Uganda
Reports to: Head of Data
About US:
ENGIE Energy Access is one of the leading Pay-As-You-Go (PAYGo) and mini-grids solutions provider in Africa, with a mission to deliver affordable, reliable and sustainable energy solutions and life-changing services with exceptional customer experience. The company is a result of the integration of Fenix International, ENGIE Mobisol and ENGIE PowerCorner; and develops innovative, off-grid solar solutions for homes, public services and businesses, enabling customers and distribution partners access to clean, affordable energy. The PAYGo solar home systems are financed through affordable installments from $0.14 per day and the mini-grids foster economic development by enabling electrical productive use and triggering business opportunities for entrepreneurs in rural communities. With over 1,700 employees, operations in 9 countries across Africa (Benin, Cote d’Ivoire, Kenya, Mozambique, Nigeria, Rwanda, Tanzania, Uganda and Zambia), over 1 million customers and more than 5 million lives impacted so far, ENGIE Energy Access aims to remain the leading clean energy company, serving millions of customers across Africa by 2025.
Job Summary: 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. .
Key Duties and 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.
Qualifications, Skills and Experience:
- The applicant must hold an MA or PhD in a relevant discipline (Data Science, Software Engineering, Statistics, or another relevant STEM field)
- The applicant must have at least three 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
- 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)
- Language(s): English French, Swahili or Portuguese is a plus
We thank all applicants for their interest, however due to the large volume of applications we receive, only shortlisted candidates will be contacted.
How to Apply:
All suitably qualified and interested applicants should apply online at the link below.
Deadline: 19th July 2022
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