Team Lead Data Scientist

SWATX; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading company in the telecommunications sector is seeking a Team Lead Data Scientist to oversee their data science initiatives. The successful candidate will lead a team, develop machine learning models, and ensure the implementation of robust data solutions. This role offers the opportunity to drive innovative projects and work closely with diverse stakeholders in a dynamic environment.

Qualifications

• Preferred Master's degree in a related field.
• 5+ years of data science experience.
• Experienced in architecting and delivering data platforms.

Responsibilities

• Lead and mentor the data science team.
• Develop and implement machine learning models for telecom.
• Collaborate with data engineering for ETL and pipeline optimization.

Skills

Python

SQL

Dataiku

Hadoop

Spark

Leadership

Communication

MLOps

Education

Master's in Data Science, Statistics, Computer Science, or related field

Tools

Hadoop

Spark

Dataiku

Job description

Job Summary: The Team Lead Data Scientist will oversee the data science team, leading initiatives to develop and implement advanced machine learning models with some of the use cases tailored for the telecommunications sector. This role will ensure the delivery of the data science use cases as per plan with a supporting data stack by closely communicating with the data engineering team through providing end-to-end technical expertise. The role involves collaborating with various departments and stakeholders to leverage data for strategic decision-making.

Key Responsibilities:

• Lead and mentor a team of data scientists and engineers
• Work closely with the data engineering team to design, build, and maintain scalable data pipelines and IT environments for data storage, processing, and retrieval to support data science activities
• Lead the data science team to Develop and implement machine learning models for predictive and prescriptive analytics in telecom using tools such as Python, SQL, and Dataiku
• Develop and implement data models and architecture to support data use cases
• Work closely with the data engineering team to Support extracting, transforming, and loading (ETL) data from various sources into data warehouses, ensuring data quality and integrity to be aware of the complete use case implementation cycle
• Work closely with the data engineering team to Optimize data pipelines, queries, and processes to improve performance and efficiency
• Identify and resolve data-related issues, providing technical support and ensuring the reliability and availability of data systems
• Collaborate with teams, including data scientists, AI, and other stakeholders, to understand data requirements and deliver solutions that meet business needs
• Evaluate new technologies and tools, integrating them into existing data infrastructure to enhance capabilities and meet evolving business requirements
• Stay updated with the latest developments in data science, techniques, and best practices
  
  

Qualifications:

• Master's preferred in Data Science, Statistics, Computer Science, or a related field
• At least 5 years of hands-on experience in data science, with a comprehensive understanding of data management principles
• Proven track record in architecting and delivering robust data platforms, showcasing expertise in designing scalable and efficient solutions
• Knowledge of CRISP-DM methodology
  
  

Skills:

• Proficiency in Python, SQL, and Dataiku
• Strong proficiency with Hadoop and Spark platforms
• Excellent communication and leadership skills
• Excellent communication and presentation skills
• Experience with big data technologies (e.g., Hadoop, Cloudera)
• Familiarity with MLFlow and MLOps
  
  

Preferred Qualifications:

• Proficiency or Certification in MLOps and DevOps practices
• Local GCC experience, preferably Saudi projects
• Experience in the telecommunications industry