Data Scientist at Engie Africa

Job Purpose/Mission

• 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:

• 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