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Data Scientist

malomatia
Doha, QAT
fulltime
Mid-Senior
2 days ago
Machine LearningStatistical AnalysisData VisualizationPythonRSQL
Free

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Key skills for this role

Machine LearningStatistical AnalysisData Visualization
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Must Have

  • 3–5 years of experience in data science, analytics, or a quantitative modeling role.
  • Hands-on proficiency in Python (pandas, NumPy, scikit-learn) and SQL for building and evaluating models end to end.
  • Demonstrated ability to design experiments, validate model performance, and guard against overfitting and data leakage.
  • Clear, reproducible, and well-documented analytical practice.
  • Ability to communicate findings clearly to both technical colleagues and business stakeholders.
  • Nice to Have
  • Experience with visualization tools such as matplotlib, seaborn, Power BI, or Tableau.
  • Exposure to cloud analytics environments, ideally Oracle Cloud Infrastructure (OCI).
  • Experience with time-series analysis or natural-language data.
  • Familiarity with collaborative workflows and code review.
  • Exposure to working with engineering teams on model handoff.
  • Data science certifications.

Responsibilities

  • Conduct exploratory data analysis to uncover patterns, relationships, and opportunities in client and operational data.
  • Build, train, and evaluate predictive and descriptive models using Python (pandas, scikit-learn) and SQL.
  • Build and evaluate deep learning models, such as neural networks, using frameworks like TensorFlow or PyTorch where they suit the problem.
  • Perform feature engineering, data cleaning, and dataset preparation for modeling.
  • Design and analyze experiments, including A/B tests, to measure the impact of changes and interventions.
  • Prototype analytical solutions and iterate on them based on stakeholder and senior data scientist feedback.
  • Create clear visualizations, dashboards, and summaries that translate analysis into business insight.
  • Validate model performance using appropriate metrics and guard against overfitting and data leakage.
  • Document methodology, assumptions, and results to ensure reproducibility and knowledge sharing.
  • Collaborate with senior data scientists, engineers, and analysts on larger initiatives.
  • Support the preparation of analytical reports and presentations for clients and internal teams.
  • Maintain and improve existing analytical code and notebooks

Qualifications

  • Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Data Science) or equivalent experience; Master's an advantage.
  • Proficiency in Python for data analysis (pandas, NumPy, scikit-learn) and working knowledge of SQL.
  • Solid grounding in statistics and core machine-learning techniques (regression, classification, clustering).
  • Working knowledge of deep learning concepts and frameworks such as TensorFlow or PyTorch.
  • Experience with feature engineering and preparing real-world, messy datasets for modeling.
  • Ability to communicate findings clearly to technical and business audiences.
  • Understanding of model evaluation metrics and validation techniques.
  • Familiarity with version control (Git) and reproducible analysis practices.

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