Full Stack Data Scientist

Key Responsibilities

• Data Collection and Preprocessing
• Implement strategies for data quality assessment and assurance
• Conduct comprehensive exploratory data analysis
• Create interactive visualizations and dashboards
• Design, develop, and deploy predictive models
• Optimize model performance through feature engineering, hyperparameter tuning, and model selection
• Build scalable and efficient software solutions
• Integrate data science workflows with existing systems
• Establish monitoring mechanisms
• Conduct regular maintenance activities
• Collaborate with cross-functional teams
• Communicate technical concepts effectively

Required Qualifications

• 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
• Proficiency in programming languages such as Python, R, and SQL
• Strong understanding of machine learning algorithms and statistical modeling techniques
• Hands-on experience with machine learning libraries/frameworks
• Experience in developing and deploying end-to-end data science solutions in cloud environments
• Solid understanding of software engineering principles and best practices

Preferred Qualifications

• Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industries
• Familiarity with containerization technologies and orchestration tools
• Knowledge of DevOps practices for CI/CD
• Experience with distributed computing frameworks
• Strong problem-solving skills
• Ability to work effectively in a fast-paced, collaborative environment

About the Role

rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations.