Data Scientist

SWATX; Riyadh; On-site; SAR 150,000 - 220,000; Full time

Job summary

A leading company in the telecommunications field is seeking a Data Scientist in Riyadh. This role focuses on analyzing data to derive actionable insights and involves developing predictive models, collaborating with teams, and ensuring data quality. Ideal candidates will have strong analytical skills and experience in big data technologies in the telecommunications industry.

Qualifications

• 3+ years of experience in data analysis or data science in the telecommunications industry.
• Knowledge of CRISP-DM methodology is preferred.
• Local GCC experience, preferably Saudi projects.

Responsibilities

• Analyze telecom data to identify trends and anomalies.
• Develop and implement predictive models to improve customer experience.
• Design and maintain scalable data science pipelines.

Skills

Proficiency in SQL

Python

Statistical analysis

Big data technologies

Geospatial data analysis

REST API development

NLP

Education

Bachelor's degree in Data Science, Statistics, Mathematics, or a related field

Tools

Cloudera

MLOps frameworks

Hadoop

Spark

Dataiku

Job description

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 field
• 3+ years of experience in data analysis or data science in the telecommunications industry
• Knowledge of CRISP-DM methodology
  
  

Skills:

• Proficiency in SQL, Python is a must while cloudera and MLOps frameworks is a plus
• Strong statistical analysis and modeling skills
• Experience 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 Dataiku
• RAG/LLM knowledge
• NLP and Classical Machine Learning Knowledge
  
  

Preferred Qualifications:

• Proficiency or Certification in Dataiku
• Local GCC experience, preferably Saudi projects
• Experience in the telecommunications industry