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Technology · Job description

Senior Data-Scientist

A Senior Data-Scientist is responsible for key functions within their domain of expertise. In the GCC market, this role is actively hired across saudi with 3 recent postings.

GCC postings
3
Active markets
1
Typical experience
4-5 years
Key responsibilities
  • 01Based Learning and Knowledge Graphs. Design new service offerings and solutions in E
  • 02Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.
  • 03Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.
  • 04Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e
  • 05commerce platforms, social media, and web sources.
  • 06Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text
  • 07based feature selection/representation, optimization and predictive modeling.
  • 08Based Learning and Knowledge Graphs.
  • 09Design new service offerings and solutions in E
  • 10Commerce and different fields.
  • 11Keep up to date with latest trends and technologies in the data science and ML fields.
  • 12Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.
Required qualifications
  • — . Collaborate with big data and software developers to translate ideas, models and prototypes into full
  • — fledged solutions. Work closely with cross
  • — on experience with large language models (LLMs), including model selection, fine
  • — tuning, deployment, and prompt engineering for real
  • — 5 years' of experience as a data scientist (quantitative analytics and data modeling). Deep understanding of predictive modeling, machine
  • — Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn). Excellent in Algorithms and Object
  • — solving skills. Excellent communication and presentation skills
  • — Deep understanding of predictive modeling, machine
Preferred qualifications
  • — world applications. Experience in Deep Learning algorithms and techniques. Proficiency in Python (other languages such as Shell Scripts, C++, . Net, Java, Matlab, R,. ..etc are preferred).
  • — Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.
  • — Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).
  • — Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).
  • — Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.

Required skills

presentationmachine learningsocial medialeanpythonjavaexcelcommunication

Tools & technologies

teamsexcelpythonjavamatlaberp

Hiring companies we see

  • Salla

Hired across

  • saudi
FAQ

  • What does a Senior Data-Scientist do in the GCC?

    A Senior Data-Scientist in the GCC performs core duties related to presentation, machine learning, social media, adapted to the regional business environment and regulatory framework.

  • What qualifications do I need to be a Senior Data-Scientist?

    Typically a Bachelor's degree is required, with 4-5 years of experience in the field.

  • What is the demand for Senior Data-Scientist in the GCC?

    The role is actively hired across saudi, with consistent demand from both local and multinational employers.

  • What skills are needed for a Senior Data-Scientist role?

    Key skills include presentation, machine learning, social media, lean, python, java, along with strong communication and teamwork abilities.

  • Do I need Arabic to work as a Senior Data-Scientist in the GCC?

    Arabic language proficiency is often preferred but not always required. It depends on the employer, sector, and client-facing nature of the role.

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