Data Scientist

Job Title: Data Scientist

Location: Kampala, Nairobi or Lagos

Position: Full-time

Team: Digital

Hay Grade: 15

Reporting To: Head of Data

Application Deadline: 14th December, 2022

About ENGIE Energy Access

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 $0.19 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 1.5 million customers and more than 8 million lives impacted so far, ENGIE Energy Access aims to remain the leading clean energy company, serving millions of customers across Africa by 2025.

www.engie-energyaccess.com

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)

Tableau/PowerBI

We thank all applicants for their interest, however due to the large volume of applications we receive, only shortlisted candidates will be contacted.

ENGIE is an equal opportunity employer, promoting diversity and committed to creating an inclusive environment for all. All applications are screened based on business needs, job requirements and individual qualifications, without any regard to origin, age, name, sexual identity, orientation or preference, religion, marital status, health, disability, political opinions, union involvement or citizenship. Our differences are our strengths!