Full Stack Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create robust data pipelines for the acquisition, cleaning, and preprocessing of extensive datasets from diverse sources.

• Perform detailed exploratory data analysis to reveal patterns, trends, and insights from the data.

• Design, build, and implement predictive models utilizing advanced machine learning algorithms and techniques.

• Develop scalable and efficient software solutions for deploying machine learning models in production settings.

• Set up monitoring systems to assess the performance of deployed models and pinpoint areas for enhancement.

• Work collaboratively with cross-functional teams, including data engineers, software developers, and business stakeholders.

⛳️ Requirements

• A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related discipline.

• Demonstrated experience in data preprocessing, exploratory data analysis, and feature engineering.

• Expert proficiency in data visualization tools (e.g., Qlik, Tableau, Power BI).

• Competence in programming languages such as Python, R, and SQL for data manipulation and analysis.

• Strong grasp of machine learning algorithms and statistical modeling techniques.

• Practical experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.

• Experience in crafting and deploying end-to-end data science solutions within cloud platforms (e.g., AWS, Azure, GCP).

• Comprehensive understanding of software engineering principles and best practices for creating scalable and maintainable code.

🏝️ Benefits

• Health insurance

• Flexible work arrangements

• Paid time off

• Professional development opportunities