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10Pearls Logo 10Pearls · IT - Software Development

Staff/Senior Data Scientist

Pakistan, Islamabad · Job Posted January 15, 2026
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Job Description

As a Senior Data Scientist, you will be responsible for analyzing complex data sets to identify trends, develop insights, and support decision-making processes. You will utilize your expertise in Python or R, SQL, exploratory data analysis (EDA), feature engineering, and basic machine learning models to deliver actionable insights. You will work closely with cross-functional teams to drive insights, build models and create data visualizations using tools like Tableau or Power BI

Job Responsibility

  • Perform advanced exploratory data analysis (EDA) to uncover patterns, correlations, and actionable insights using large and complex datasets
  • Design and implement robust feature engineering and selection techniques to optimize model accuracy and efficiency
  • Formulate hypotheses and validate them through rigorous statistical testing and experimentation frameworks
  • Develop, train, and optimise machine learning models (including supervised, unsupervised, and ensemble methods) for predictive and prescriptive analytics
  • Write optimised SQL queries and leverage cloud-based data platforms (e.g., AWS Redshift, Snowflake, BigQuery) for data extraction and transformation
  • Utilise Python (preferred) and R for data wrangling, modelling, and automation, incorporating libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow where applicable
  • Create dynamic dashboards and interactive visualizations using modern BI tools (e.g., Power BI, Tableau) and consider integration with cloud services for scalability
  • Document workflows, modelling approaches, and analytical findings clearly, ensuring reproducibility and compliance with organizational standards
  • Communicate insights effectively to technical and non-technical stakeholders, using storytelling and visualization techniques to drive business decisions
  • Collaborate cross-functionally with data engineers, ML engineers, and business teams to design end-to-end data solutions and deploy models into production environments
  • Stay updated with emerging trends in AI/ML, big data technologies, and MLOps practices to continuously improve analytical capabilities

Requirements

  • 07 Years of relevant experience in data analytics, machine learning, or related field
  • Proficiency in Python (preferred) or R programming languages
  • Strong SQL skills for data querying and transforming large datasets
  • Expertise in exploratory data analysis (EDA), feature engineering, and statistical modelling
  • Hands-on experience with advanced machine learning algorithms and optimization techniques
  • Understanding of MLOps practices for model deployment and lifecycle management (preferred)
  • Strong analytical, problem-solving, and communication skills with the ability to work cross-functionally
  • Proficiency in data visualization tools (Tableau, Power BI) and storytelling with data
  • Excellent communication and collaboration abilities
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