Data Scientist at Engie Energy Access
- Location: Lagos, Kampala; Uganda
- Job Type: Full Time
About ENGIE Energy Access
ENGIE Energy Access is the leading Pay-As-You-Go (PAYGo) and mini-grids solutions provider in Africa.
The company 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 instalments 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.
Job Purpose/Mission – Data Scientist at Engie Energy Access
- This position will be part of the Global Data team.
- This is an incredible opportunity to join a high-performing team that is passionate about pioneering expanded financial services to off-grid customers at the base of the pyramid.
Key responsibilities will include building and maintaining data models to support sales and customer finance operations.
- You would also be involved in data mining activities as well as engage with internal business stakeholders in realtime to our field team mobile application to allow data-informed decisions to be made in the field, as well as working with members of the data team to ensure high code quality and database design.
- Your work will make a meaningful impact by enabling Engie to continuously innovate on how we support our customers in their repayment journey.
Key Competencies
Responsibilities
Data Mining (20%):
- Design and implement robust data mining models to support analytics and reporting requirements.
- Carry out pre – processing, cleansing, and validating the integrioty of data to be used for analysis
- Enhance data collection procedures to include all relevant information for developing analytic systems.
Statistical modelling (70%)
- Use statistical and machine learning techniques to develop solutions to support business operations from sales to credit collection.
Stakeholder management (10%)
- Communicate results with stakeholders within the business operations teams.
Experience: Data Scientist at Engie Energy Access
- 5+ years of industry experience working on data scientist with a focus on data modelling, stakeholder management and data mining.,
- Proficiency using machine learning frameworks like keras, pytorch, Tensorflow, sckit-learn, statistical tools (statistical tests, distribution, regression, maximum likelihood estimators, strong math skills (multivariate calculus, linear algebra), machine learning methods (k-Nearest Neighbours, Naive Bayes, SVm, Decision forests), Data visualization tools (matplotlib, d3.js, Tableau).
- Experience working with structured and unstructured data using Python, R, Scala, Java, SQL in addition to one or more of Spark/Hadoop/Hive/HDFS , Apache Airflow, RabbitMQ/Kafka, Spark, Kubernates, and dbt.
- Working knowledge of databases, data systems, and analytics solutions, including proficiency in SQL, NoSQL, Java, Spark and Amazon Redshift for reporting and dashboard building.
- Experience with implementing unit and integration testing.
- Ability to gather requirements and communicate with stakeholders across data, software, and platform teams.
- Deep understanding of data structures, data modelling and architecture.
- Experience managing a team of mid-level data scientists.
- Sense of adventure and willingness to dive in, think big, and execute with a team
Qualifications
- Bachelors or master’s in computer science, machine learning, or related field
Language(s)
- English
- French is a plus.
Technology
- Python, R, Java, SQL, NoSQL, Amazon Redshift, Kafka, Apache Beam, Apache Airflow, Apache Spark
