Data Scientist
2025-07-08T15:33:25+00:00
Engie Group
https://cdn.greatkenyanjobs.com/jsjobsdata/data/employer/comp_8127/logo/engie.png
https://www.engie.com/en
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Waste management
Computer & IT
2025-07-17T17:00:00+00:00
Kenya
8
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.
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.
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.
JOB-686d3a45effa6
Vacancy title:
Data Scientist
[Type: FULL_TIME, Industry: Waste management, Category: Computer & IT]
Jobs at:
Engie Group
Deadline of this Job:
Thursday, July 17 2025
Duty Station:
Nairobi | Nairobi | Kenya
Summary
Date Posted: Tuesday, July 8 2025, Base Salary: Not Disclosed
Similar Jobs in Kenya
Learn more about Engie Group
Engie Group jobs in Kenya
JOB DETAILS:
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 integrity 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.
Work Hours: 8
Experience in Months: 60
Level of Education: bachelor degree
Job application procedure
Interested and qualified? Click here to apply
All Jobs | QUICK ALERT SUBSCRIPTION
