Data Scientist

• Conduct exploratory data analysis (EDA) to uncover patterns and relevant insights.
• Develop predictive models using libraries such as TensorFlow, Keras, Scikit-Learn, Pandas, and others.
• Perform model experimentation and optimization, including hyperparameter tuning and cross-validation.
• Implement feature engineering techniques to improve model performance.
• Apply Natural Language Processing (NLP) and Deep Learning methods to relevant projects.
• Collaborate with the data engineering team to ensure data integrity and accessibility.
• Create impactful data visualizations using tools such as Power BI, Databricks Dashboards, Matplotlib, and Seaborn.
• Develop and maintain MLOps pipelines, including CI/CD for machine learning models.
• Integrate solutions with APIs and implement chatbots when necessary.
• Present results and insights to stakeholders clearly and effectively.
• Conduct experiments and A/B tests, analyze results, and propose data-driven improvements.

Senior Data Scientist

Data Scientist

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Senior Data Scientist