Full Stack Data Scientist

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rockITdata

πŸ“Remote - Worldwide

Summary

Join our dynamic team as a Full Stack Data Scientist and leverage advanced analytics and cutting-edge technologies to drive impactful business outcomes. This is a remote position.

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

Responsibilities

  • 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
  • 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

Preferred Qualifications

  • Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industries
  • Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes
  • Knowledge of DevOps practices for continuous integration and deployment (CI/CD)
  • Experience with distributed computing frameworks for parallel processing (e.g., Dask, Ray)
  • Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment
This job is filled or no longer available

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