Salla E-Commerce Platform

Senior Data Scientist

Salla E-Commerce Platform

full-time

Posted on:

Location Type: Hybrid

Location: Jeddah • 🇸🇦 Saudi Arabia

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Job Level

Senior

Tech Stack

CassandraElasticSearchHadoopJavaKerasPandasPythonScikit-LearnSparkTensorflow

About the role

  • Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.
  • Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.
  • Develop, 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-commerce platforms, social media, and web sources.
  • Design 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-based feature selection/representation, optimization and predictive modeling.
  • Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.
  • Design new service offerings and solutions in E-Commerce and different fields.
  • Keep up to date with latest trends and technologies in the data science and ML fields.
  • Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.
  • Work closely with Business Analysts and product development teams to understand and implement their requirements.
  • Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.
  • Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.

Requirements

  • Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.
  • At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling).
  • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.
  • Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).
  • Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-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).
  • Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).
  • Excellent in Algorithms and Object-Oriented programming.
  • Familiarity with database technology (design and implementation) and query language.
  • Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.
  • Strong organizational and project management skills.
  • Good problem-solving skills.
  • Excellent communication and presentation skills
Benefits
  • Medical Health Insurance
  • Performance Bonus
  • Others

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisdata cleansingdata preprocessingmachine learningpredictive modelingdeep learningnatural language processingalgorithm developmentobject-oriented programminglarge language models
Soft skills
organizational skillsproject managementproblem-solvingcommunication skillspresentation skills