Data Scientist - Python

  • Programming & Tech
  • Full time
  • March 11, 2024
Python
Data Science
Spanish native

We are seeking a highly motivated and ambitious Data Scientist proficient in Python to join our dynamic team. The ideal candidate will be passionate about transforming markets, driving innovation, and eager to learn and grow in a fast-paced environment. This role requires someone who is task-oriented, driven by challenges, and thrives on taking projects from MVP stages to full-fledged production environments. Responsibilities: Collaborate with cross-functional teams to develop and implement data-driven solutions that drive business growth and transformation. Take ownership of data science projects from conception to deployment in production environments. Utilize Python and relevant libraries/frameworks to perform data analysis, modeling, and visualization. Design and develop algorithms to extract insights and patterns from complex datasets. Work closely with stakeholders to understand business requirements and translate them into actionable insights and solutions. Demonstrate a strong desire to learn and grow, staying updated with the latest trends and advancements in data science and technology. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field. Proven experience in data science and analysis with Python. Strong proficiency in Python programming and familiarity with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience working in a production environment, deploying and maintaining data science models. Ability to communicate complex technical concepts to non-technical stakeholders effectively. Excellent problem-solving skills and attention to detail. Ambitious, entrepreneurial spirit, and a strong desire to make an impact in transforming industries through data-driven insights. Preferred Qualifications: Knowledge of SQL and database management systems. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Background in machine learning, statistical modeling, and predictive analytics.

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