Senior Data Scientist

1 day ago

Lahore, Punjab, Pakistan Strategic Systems International Full time 1,500,000 - 3,000,000 per year

PURPOSE:

We are looking for an experienced Senior Data Scientist to join our dynamic team and drive strategic decision-making through advanced data-driven insights. The ideal candidate will have 6+ years of industry experience, a strong foundation in machine learning, statistical analysis, and big data technologies, and excellent English communication skills. You should bring a deep understanding of ML frameworks, model optimization techniques, and the ability to translate complex data into actionable intelligence across a range of real-world use cases.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field (Master's/Ph.D. preferred).
  • 6+ years of hands-on experience in data science, with a focus on predictive analytics and advanced modeling.
  • Strong proficiency in Python (NumPy, Pandas, Scikit-learn) and SQL for data analysis and model development.
  • Skilled in handling missing data, data cleaning, and feature engineering to enhance model performance.
  • Well-versed in evaluation techniques like cross-validation, AUC, precision, and recall.
  • Excellent English communication skills with solid knowledge of statistical methods and ML algorithms, including regression, decision trees, and time series forecasting.

KEY RESPONSIBILITIES:

  • AI/ML Model Development: Design, build, and deploy AI/ML models using best practices in algorithm selection, tuning, and evaluation to solve real-world problems.
  • End-to-End Projects: Lead full data science workflows, from defining goals and sourcing data to deployment and monitoring, delivering actionable insights.
  • Predictive Modeling: Develop and refine models using decision trees, gradient boosting, and deep learning (e.g., TensorFlow, PyTorch) to support business strategies.
  • Model Monitoring: Set up pipelines for performance tracking, A/B testing, and ongoing evaluation to ensure reliability and accuracy.
  • Innovation: Stay current with emerging ML techniques and tools, enhancing model performance and contributing to team growth.
  • Cloud & Big Data: Use platforms like AWS, Azure, or GCP for scalable data processing and model deployment.
  • Deep Learning & NLP: Build solutions for unstructured data using frameworks like BERT, SpaCy, and Hugging Face.
  • Visualization: Communicate results effectively using Tableau, Power BI, Matplotlib, and Seaborn.
  • Interpretability: Apply SHAP, LIME, and related tools to ensure model transparency.

A Culture of Belonging: At our core, we value diversity and inclusion. As an equal opportunity employer, we are dedicated to creating a workplace where every voice is heard, every person is respected, and everyone has the opportunity to succeed.

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