Data Scientist
ENGIE Energy Access
Lagos
5d ago
source : BetaJob

Location : Lagos

Department : Central Digital and IT - Data

Reporting line : Head of Data

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 team members on data tools / skills to grow data capacity and culture at EEA.

Qualifications

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

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

Language(s) : English

English

French 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)

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