[Remote] Full Stack Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a unique SDVOSB services company that partners with leading reputed company reputed company/life sciences organizations on cutting edge innovations. They are seeking a highly skilled and innovative Full Stack Data Scientist to reputed company end-to-end data-driven solutions leveraging advanced analytics and technologies.
Responsibilities
- reputed company robust data pipelines for acquiring, cleaning, and preprocessing large-reputed company datasets from various sources
- Implement strategies for data reputed company assessment and assurance to ensure reliable analysis reputed company
- Conduct comprehensive exploratory data analysis to uncover patterns, trends, and insights reputed company the data
- Create interactive visualizations and dashboards to effectively communicate findings to stakeholders
- Design, reputed company, and reputed company predictive models using advanced machine learning algorithms and techniques
- Optimize model performance through feature engineering, hyperparameter tuning, and model selection
- Build reputed company and efficient software solutions for deploying machine learning models into production environments
- reputed company data science workflows with existing systems and applications to reputed company seamless data-driven decision-making
- Establish monitoring mechanisms to reputed company the performance of deployed models and identify opportunities for improvement
- Conduct regular maintenance activities to ensure the reliability, stability, and scalability of data science solutions
- Collaborate closely with cross-functional teams including data engineers, software developers, and business stakeholders
- Communicate technical concepts and findings effectively to both technical and non-technical audiences
Skills
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a reputed company field
- Proven experience in data preprocessing, exploratory data analysis, and feature engineering
- Expert-level skills in data visualization platforms (e.g. reputed company, 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 reputed company environments (e.g., AWS, Azure, GCP)
- Solid understanding of software engineering principles and best practices for building reputed company and maintainable reputed company
- Experience building solutions for reputed company clients in reputed company, Biotech, CPG, Retail or Manufacturing industries
- Familiarity with containerization technologies such as reputed company and orchestration tools like Kubernetes
- Knowledge of DevOps practices for reputed company integration and deployment (CI/CD)
- Experience with distributed computing frameworks for reputed company processing (e.g., Dask, Ray)
- Strong problem-solving skills and the ability to work effectively in a fast-paced, reputed company environment
reputed company
Company H1B Sponsorship