[Remote] Full Stack Data Scientist

Note: The job is a remote job and is open to candidates in USA. rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations. They are seeking a highly skilled and innovative Full Stack Data Scientist to develop end-to-end data-driven solutions using advanced analytics and technologies.ResponsibilitiesDevelop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various sourcesImplement strategies for data quality assessment and assurance to ensure reliable analysis outcomesConduct comprehensive exploratory data analysis to uncover patterns, trends, and insights within the dataCreate interactive visualizations and dashboards to effectively communicate findings to stakeholdersDesign, develop, and deploy predictive models using advanced machine learning algorithms and techniquesOptimize model performance through feature engineering, hyperparameter tuning, and model selectionBuild scalable and efficient software solutions for deploying machine learning models into production environmentsIntegrate data science workflows with existing systems and applications to enable seamless data-driven decision-makingEstablish monitoring mechanisms to track the performance of deployed models and identify opportunities for improvementConduct regular maintenance activities to ensure the reliability, stability, and scalability of data science solutionsCollaborate closely with cross-functional teams including data engineers, software developers, and business stakeholdersCommunicate technical concepts and findings effectively to both technical and non-technical audiencesSkillsBachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related fieldProven experience in data preprocessing, exploratory data analysis, and feature engineeringExpert-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 analysisStrong understanding of machine learning algorithms and statistical modeling techniquesHands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etcExperience 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 codeExperience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industriesFamiliarity with containerization technologies such as Docker and orchestration tools like KubernetesKnowledge 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 environmentCompany OverviewRockITdata is an IT firm that offers AWS consultation, data integration, cloud computing and staffing services. It was founded in 2018, and is headquartered in Philadelphia, Pennsylvania, USA, with a workforce of 51-200 employees. Its website is https://www.rockitdata.com.Company H1B SponsorshiprockITdata has a track record of offering H1B sponsorships, with 2 in 2023, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.