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Job Description

Key Responsibilities

  • Analyze large datasets to extract insights, build predictive models, and support data-driven decisions.
  • Design and implement machine learning algorithms for classification, regression, clustering, and recommendation systems.
  • Work with structured and unstructured data, performing data cleaning, pre processing, and feature engineering.
  • Present findings clearly using data visualizations and dashboards (e.g., Power BI, Tableau, or Matplotlib/Seaborn).
  • Collaborate with engineering and product teams to deploy models into production.
  • Continuously improve models based on performance metrics and feedback.

Required Skills & Qualifications

  • 6 - 10 years of experience in data science, analytics, or applied machine learning.
  • Strong programming skills in Python (pandas, scikit-learn, NumPy, etc.).
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch is a plus).
  • Proficient in working with SQL and relational databases.
  • Experience in data visualization tools like Tableau, Power BI, or libraries like Plotly/Matplotlib.
  • Experience in Warehousing or Big Query (Mandatory)
  • Understanding of statistical techniques and hypothesis testing.
  • Experience with cloud platforms (AWS/GCP/Azure) is a plus.
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.

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Job ID: 153845477

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