Consultant - Data Scientist

Bangalore, Karnataka, India

KPMG India

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The candidate will have a strong background in data analysis, statistical modeling, and machine learning techniques. They will be responsible for extracting, analyzing, and interpreting complex data sets to help us make better business decisions and improve our products and services.

  • Designed and implemented advanced machine learning models for predictive analytics.
  • Conducted exploratory data analysis (EDA) to uncover actionable insights and trends.
  • Built and optimized scalable data pipelines and workflows using big data platforms.
  • Collaborated with cross-functional teams to deliver data-driven solutions.
  • Communicated insights effectively through dashboards, reports, and presentations.
  • Deployed machine learning models in production environments, ensuring scalability.
  • Researched and adopted cutting-edge technologies to solve complex business problems.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 4+ Years of experience in Python, R, SQL, and big data tools like Spark and Hadoop.
  • Experienced with ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Skilled in data visualization tools like Tableau, Power BI, and Matplotlib.
  • Hands-on experience with cloud platforms like AWS, GCP, and Azure.
  • Strong knowledge of statistical methods and advanced analytics techniques.
  • Strong business acumen to align technical solutions with organizational objectives.
  • Experienced in mentoring and guiding teams for performance optimization.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Big Data Computer Science Data analysis Data pipelines Data visualization EDA Engineering GCP Hadoop Machine Learning Matplotlib ML models Pipelines Power BI Python PyTorch R Scikit-learn Spark SQL Statistical modeling Statistics Tableau TensorFlow

Region: Asia/Pacific
Country: India

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