Data Scientist

Collect and integrate data from diverse sources, including databases, APIs, and web scraping.
Stay abreast of the latest trends and developments in data science and machine learning.
Deploy and monitor machine learning models in production settings.
Work collaboratively with senior data scientists and engineers in delivering data- driven solutions.
Conduct preprocessing and cleansing of data to ensure its quality and reliability.
Perform exploratory data analysis using descriptive and inferential statistical methods.
Optimize model performance through cross- validation, hyperparameter tuning, and feature engineering.
Use Python libraries (matplotlib, seaborn, plotly) to visualize data insights and model outcomes, communicating these effectively to stakeholders.
Develop and assess machine learning models using Python libraries like scikit- learn, pandas, and numpy.

Familiarity with common Python libraries for data science and machine learning (e.g., scikit- learn, pandas, numpy).
A positive attitude, team- oriented mindset, and a problem- solving approach.
Understanding of machine learning concepts and algorithms.
Demonstrated experience with the Databricks platform and cloud computing environments (AWS, Azure, GCP, etc.).
Proficiency in Python programming and data analysis.
A strong sense of curiosity and a passion for continuous learning and development.
Effective communication skills for articulating complex ideas clearly.
Minimum of 3 years of relevant experience in data science.
Capability to handle large and complex datasets.
Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Engineering, or a related field.

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Cập nhật gần nhất lúc: 2024-04-03 12:02:01