Qureos

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Data Scientist

Islamabad, Pakistan

Job Title: Data Scientist

📍 Location: Islamabad

🕒 Job Type: Full-time

📊 Experience Required: 2–4 years

About the Role

We are seeking a skilled and detail-oriented Data Scientist to join our team. In this role, you will be responsible for the full data lifecycle — from collection and cleaning to analysis and modeling. You will play a critical role in building robust datasets, designing performance metrics, and supporting the development and evaluation of AI models and intelligent agents .

Key Responsibilities 🔹 Data Collection & Preprocessing
  • Collect, clean, and preprocess structured and unstructured data from multiple sources.
  • Ensure high data quality, integrity, and consistency.
🔹 Dataset Development
  • Design and build datasets for training, validation, and testing of AI/ML models.
  • Maintain proper documentation and versioning for datasets.
🔹 Model Evaluation
  • Develop and implement performance metrics.
  • Benchmark the effectiveness of AI models and intelligent systems.
🔹 Data Analysis & Insights
  • Perform exploratory data analysis (EDA) and statistical analysis.
  • Extract meaningful insights to guide model development.
🔹 Collaboration
  • Work closely with ML engineers, product teams, and researchers.
  • Iterate on data requirements and optimize model performance.
Qualifications
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field .
  • Proven experience in data cleaning, preprocessing, and analysis .
  • Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn .
  • Experience in building/managing datasets for machine learning.
  • Strong understanding of evaluation metrics (classification, regression, generative models).
  • Familiarity with SQL and database systems.
  • Excellent problem-solving skills and strong attention to detail .
Preferred Qualifications
  • Experience working with AI agents or LLM-based systems .
  • Knowledge of data versioning tools and ML pipeline frameworks .
  • Prior experience in research environments or cross-functional teams .

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