Data Scientist
2 days ago
Job Description :
- Design, develop, and deploy machine learning models using Python and other data science tools to derive actionable insights.
- Work with MongoDB for managing and analyzing large datasets, ensuring effective storage and retrieval of data.
- Collaborate with engineering and product teams to integrate machine learning models into production systems and provide data-driven solutions.
- Leverage Azure cloud services (e.g., Azure Machine Learning, Azure Databricks) to scale and optimize machine learning workflows and data pipelines.
- Implement data preprocessing and feature engineering techniques to enhance model performance.
- Analyze and visualize large and complex datasets to generate insights and make recommendations for business strategy.
- Optimize and fine-tune existing machine learning models for better performance and accuracy.
- Build and maintain robust data pipelines, working with structured and unstructured data.
- Ensure the quality, consistency, and accuracy of data used for model building and analysis.
- Stay updated with the latest trends in data science, machine learning, and AI technologies.
- Communicate results and insights effectively to non-technical stakeholders through data visualizations and reports.
- Data Scientist, with a strong track record of deploying machine learning models into production.
- Strong programming skills in Python, with experience in libraries like Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch.
- Hands-on experience with MongoDB for managing large datasets and performing analytics.
- Proficiency in working with Azure cloud services, especially Azure Machine Learning, Azure Databricks, and Azure SQL.
- Strong understanding of statistical methods, data modeling, and machine learning algorithms (e.g., classification, regression, clustering, deep learning).
- Experience with data wrangling, feature engineering, and building robust data pipelines.
- Familiarity with data visualization tools like Power BI, Tableau, or Matplotlib.
- Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment.
- Strong communication skills, with the ability to present complex data science concepts to non-technical stakeholders.
- Experience in deploying machine learning models using cloud-based platforms such as Azure Machine Learning Service or Azure Kubernetes Service.
- Familiarity with Big Data technologies such as Hadoop or Spark.
- Knowledge of advanced AI topics like natural language processing (NLP) or computer vision.
- Experience with containerization technologies like Docker and orchestrating ML workflows with Kubernetes.
- Strong knowledge of SQL and data querying languages.
- Experience with Agile methodologies and working in collaborative team environments.
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