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Data Scientist Consultant

Job in Doha, Baladīyat ad Dawḩah, Qatar
Listing for: Protiviti Middle East Member Firm
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 400000 - 600000 QAR Yearly QAR 400000.00 600000.00 YEAR
Job Description & How to Apply Below

Overview

Job Description:

Data Scientist - Advanced Analytics & Network Insights

Position Requirements
  • Strong expertise in analytics solutions, including data collection, preprocessing, model development, and deployment.
  • Proficient in machine learning techniques and algorithms (e.g., Naive Bayes, SVM, Decision Forests, Bagging & Boosting Models).
  • Strong understanding of feature scaling, dimensionality reduction, and data compression techniques.
  • Expertise in Python, PySpark, R, and libraries such as Scikit-learn, Num Py, Tensor Flow.
  • 3 to 5 years of experience in deploying scalable machine learning systems, with 2+ years in NLP or text analytics development.
  • Proficient in SQL, Hadoop, Spark, and data storage frameworks.
  • Skilled in designing and deploying auto big data pipelines for production environments.
  • Experienced in developing ETL (Extract, Transform, Load) workflows for seamless data integration.
  • Expertise in building interactive dashboards and reports using Tableau and other visualization tools.
  • Experience with agile methodologies, data-driven development, and reliable experimentation.
  • Knowledge of machine learning publications or contributions to open-source projects is a plus.
Role & Responsibilities
  • Lead the development and optimization of machine learning models, including recommendation and personalization systems.
  • Develop end-to-end analytics solutions, from data preprocessing to machine learning model deployment.
  • Build and optimize big data pipelines, ensuring scalability and efficiency in production environments.
  • Conduct data mining and implement advanced classifiers to enhance customer experiences and business performance.
  • Process and analyze large datasets using big data tools like Spark and Hive.
  • Process, cleanse, and validate data for analysis, ensuring accuracy and integrity.
  • Extend existing data with third-party sources as needed for enriched analysis.
  • Perform ad-hoc analyses and present actionable insights clearly to stakeholders.
  • Collaborate with cross-functional teams to deliver tailored solutions aligned with business objectives.
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