Data Scientist
4 days ago
Description :
    About the Role :
    We are seeking a results-driven Data Scientist to design, build, and deploy predictive models that solve complex business problems, focusing on customer behavior and personalization.
    This role requires a strong blend of theoretical knowledge in Machine Learning and practical experience in deploying models in a production environment.
Key Responsibilities :
    - Identify business problems that can be solved using Machine Learning and statistical modeling.
    - Design and implement end-to-end ML solutions, from data extraction and feature engineering to model training and deployment.
    - Develop, train, and evaluate predictive models (e.g., regression, classification, clustering, deep learning) using Python libraries (Scikit-learn, TensorFlow/PyTorch).
    - Collaborate with Data Engineers to ensure robust data pipelines and production readiness of models.
    - Conduct A/B testing on deployed models and iterate based on performance metrics.
    - Clearly communicate complex results and insights to technical and non-technical stakeholders.
Required Skills & Qualifications :
 years of experience as a Data Scientist or Machine Learning Engineer.
    - Masters degree or higher in a quantitative field (Computer Science, Statistics, Mathematics).
    - Expert proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn).
    - Experience with SQL and distributed computing frameworks (Spark/Hadoop).
    - Proven track record of deploying ML models into a production environment (MLOps experience is a plus).
    - Solid understanding of statistical analysis and experimental design
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