The Role
Build end-to-end data-driven solutions: create data pipelines, perform EDA and visualization, develop and deploy machine learning models, integrate with software systems, monitor model performance, and collaborate with cross-functional teams to deliver scalable, production-ready analytics.
Summary Generated by Built In
Driven by Innovation and built on Trust, rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations - think AI, automation and data transformation. We then bring those commercially tested solutions to government entities to deliver predictable, measurable impact for the American taxpayer and consumer.
We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in both data science and software engineering, with a focus on developing end-to-end data-driven solutions. This role offers an exciting opportunity to leverage advanced analytics and cutting-edge technologies to drive impactful business outcomes. This is a Remote position.
Key Responsibilities
Required Qualifications
Preferred Qualifications
#LIREMOTE
We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in both data science and software engineering, with a focus on developing end-to-end data-driven solutions. This role offers an exciting opportunity to leverage advanced analytics and cutting-edge technologies to drive impactful business outcomes. This is a Remote position.
Key Responsibilities
- Data Collection and Preprocessing:
- 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.
- Exploratory Data Analysis and Visualization:
- 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.
- Machine Learning Model Development:
- Design, develop, and deploy predictive models using advanced machine learning algorithms and techniques.
- Optimize model performance through feature engineering, hyperparameter tuning, and model selection.
- Software Development and Integration:
- 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.
- Performance Monitoring and Maintenance:
- 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.
- Collaboration and Cross-functional Communication:
- 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.
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 (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.
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.
#LIREMOTE
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
- Proven experience in data preprocessing, exploratory data analysis, and feature engineering.
- Expert-level skills in data visualization platforms (Qlik, Tableau, Power BI).
- Proficiency in Python, R, and SQL for data manipulation and analysis.
- Strong understanding of machine learning algorithms and statistical modeling techniques.
- Hands-on experience with ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn.
- Experience developing and deploying end-to-end data science solutions in cloud environments (AWS, Azure, GCP).
- Solid understanding of software engineering principles and best practices for scalable, maintainable code.
- Experience building solutions for commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industries.
- Familiarity with Docker and Kubernetes.
- Knowledge of DevOps practices for continuous integration and deployment (CI/CD).
- Experience with distributed computing frameworks for parallel processing (Dask, Ray).
- Strong problem-solving skills and ability to work effectively in fast-paced, collaborative environments.
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The Company
What We Do
We are proud to be a Veteran, Minority, Women-owned Small Business, all certified by the NWBOC. As an experienced AWS, Salesforce and Data Integration consulting firm, we’ve successfully overseen hundreds of implementations for organizations. Our dedicated approach for all-sized organizations provides expertise and hands-on guidance with a consistent result: Focused, scalable solutions that have been established to meet long-term business goals. Twitter: @rockITdata
