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Full Stack Data Scientist at rockITdata | JobVerse
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Full Stack Data Scientist
rockITdata
Remote
Website
LinkedIn
Full Stack Data Scientist
United States
Full Time
1 hour ago
No Visa Sponsorship
Apply Now
Key skills
AWS
Azure
Cloud
Google Cloud Platform
Python
PyTorch
Scikit-Learn
SQL
Tableau
Tensorflow
R
Machine Learning
TensorFlow
scikit-learn
BI
Power BI
GCP
Google Cloud
Remote Work
About this role
Role Overview
Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various sources.
Implement strategies for data quality assessment and assurance to ensure reliable analysis outcomes.
Conduct comprehensive exploratory data analysis to uncover patterns, trends, and insights within the data.
Create interactive visualizations and dashboards to effectively communicate findings to stakeholders.
Design, develop, and deploy predictive models using advanced machine learning algorithms and techniques.
Optimize model performance through feature engineering, hyperparameter tuning, and model selection.
Build scalable and efficient software solutions for deploying machine learning models into production environments.
Integrate data science workflows with existing systems and applications to enable seamless data-driven decision-making.
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.
Expert-level skills in data visualization platforms (e.g. Qlik, Tableau, Power BI)
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.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Python
PyTorch
Scikit-Learn
SQL
Tableau
Tensorflow
Benefits
Professional development opportunities
Remote work options
Apply Now
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