Job Summary : The Data Scientist will focus on analyzing data to derive actionable insights that drive business decisions. This role involves working with large datasets and applying advanced analytical techniques to develop predictive models and support the data science roadmap.
Key Responsibilities :
- Analyze telecom data to identify trends, patterns, and anomalies using data stores such as SQL Server and Cloudera over Hive
- Develop and implement predictive models to improve customer experience and network performance
- Design, build, and maintain scalable data science pipelines
- Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions
- May participate in optimizing data pipelines, queries, and processes to improve performance and efficiency
- Ensure data quality and integrity throughout the data lifecycle
- Knowledge API exposure and consumption over Dataiku / Python is preferred if possible
- Stay updated with the latest developments in data science technologies and best practices
Qualifications :
Bachelor's degree in Data Science, Statistics, Mathematics, or a related field3+ years of experience in data analysis or data science in the telecommunications industryKnowledge of CRISP-DM methodologySkills :
Proficiency in SQL, Python is a must while cloudera and MLOps frameworks is a plusStrong statistical analysis and modeling skillsExperience with big data technologies (Hadoop, Cloudera, Spark)Knowledge in Geospatial and GIS data analysis and visualization and dealing with GIS files (KQL / KML)Familiarity of REST API development which is preferred to be done on DataikuRAG / LLM knowledgeNLP and Classical Machine Learning KnowledgePreferred Qualifications :
Proficiency or Certification in DataikuLocal GCC experience, preferably Saudi projectsExperience in the telecommunications industry#J-18808-Ljbffr