Data Scientist with Python

We are seeking a highly experienced Data Scientist with deep expertise in Python and advanced machine learning techniques. You need to have a strong background in statistical analysis, big data platforms, and cloud integration, and you will be responsible for designing and deploying scalable data science solutions.

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• Develop and deploy machine learning, deep learning, and predictive models.
  
• Perform statistical analysis, data mining, and feature engineering on large datasets.
  
• Build and optimize data pipelines and ETL workflows.
  
• Collaborate with data engineers and business stakeholders to deliver actionable insights.
  
• Create compelling data visualizations using tools like Tableau, Power BI, Matplotlib, or Plotly.
  
• Implement MLOps practices, including CI/CD, model monitoring, and lifecycle management.
  
• Mentor junior data scientists and contribute to team knowledge-sharing.
  
• Stay current with trends in AI/ML and data science.
  

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• Must have
  
• Minimum 8+ years of hands-on experience in Data Science with strong expertise in Python and libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch.
  
• Proven ability to design, develop, and deploy machine learning, deep learning, and predictive models to solve complex business problems.
  
• Strong background in statistical analysis, data mining, and feature engineering for large-scale structured and unstructured datasets.
  
• Experience working with big data platforms (Spark, Hadoop) and integrating with cloud environments (AWS, Azure, GCP).
  
• Proficiency in building data pipelines, ETL workflows, and collaborating with data engineers for scalable data solutions.
  
• Expertise in data visualization and storytelling using Tableau, Power BI, Matplotlib, Seaborn, or Plotly to present insights effectively.
  
• Strong knowledge of MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management.
  
• Ability to engage with business stakeholders, gather requirements, and deliver actionable insights aligned with business goals.
  
• Experience in mentoring junior data scientists/analysts, leading projects, and contributing to knowledge-sharing across teams.
  
• Continuous learner with strong problem-solving, communication, and leadership skills, staying updated with the latest trends in AI/ML and data science.
  

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