Full Stack Data Scientist
rockITdata
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various sources.
- Conduct comprehensive exploratory data analysis to uncover patterns, trends, and insights within the data.
- Design, develop, and deploy predictive models using advanced machine learning algorithms and techniques.
- Build scalable and efficient software solutions for deploying machine learning models into production environments.
- Establish monitoring mechanisms to track the performance of deployed models and identify opportunities for improvement.
- Collaborate closely with cross-functional teams including data engineers, software developers, and business stakeholders.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
- Proven experience in data preprocessing, exploratory data analysis, and feature engineering.
- Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis.
- Strong understanding of machine learning algorithms and statistical modeling techniques.
- Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Experience in developing and deploying end-to-end data science solutions in cloud environments (e.g., AWS, Azure, GCP).
- Solid understanding of software engineering principles and best practices for building scalable and maintainable code.
Benefits
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data preprocessingexploratory data analysisfeature engineeringmachine learning algorithmsstatistical modeling techniquesPythonRSQLTensorFlowPyTorch
Soft Skills
collaborationcommunication
Certifications
Bachelor's degreeMaster's degree