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# Data Scientist

- **Company:** AI Powered LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Data Presentation, Data Visualization, Iterative and Incremental Development, Python (Programming Language), Machine Learning, Pattern Recognition, Power BI, Cloud Services, Tensorflow, Azure Machine Learning, Azure Data Lake, SQL Databases, Unstructured Data, Data Processing, Google Cloud, Cloud Platform System, GitHub Copilot, Pytorch, Delivery Pipeline, Large Language Models, Deep Learning, Model Validation, Git, Pandas, Scikit Learn, Information Technology, Machine Learning Operations, Software Coding, Document Classification, Azure Synapse Analytics, Software Version Control
- **Published:** October 18, 2026
- **Apply:** https://www.dice.com/job-detail/f51d8230-1623-4963-aaea-e30656439203

## About the Role

* Statistical & AI/ML Modeling: 3+ years developing statistical and AI/ML models using leading-edge tools and best practices.
 * Predictive Analytics: 3+ years building regression, classification, NLP, and other statistical/ML models.
 * Programming: 3+ years of hands-on experience with Python (Pandas, Scikit-learn, PyTorch/TensorFlow for deep learning).
 * Cloud: 3+ years working in modern cloud environments (Azure);
Hnds on Python coding, and/or R. Bottom line they should have coding experience.Background with any cloud service (AWS/Azure/Google Cloud Platform) matters and some experience working with LLMs aside from python coding.
Certifications advantageous.

 * SQL: 2+ years of experience with SQL for data manipulation and querying.
 * Visualization: Proficiency in dashboard visualization tools such as Power BI or equivalent.
 * Semantic Coding: Proven ability to integrate semantic coding techniques into ML workflows.
 * Education: Bachelor's, PhD, or equivalent professional experience in Data Science,Machine Learning, Computer Science, Mathematics, or related field.
Preferred Qualifications

 * Experience with Azure ML, Azure Synapse, or Azure Data Lake Storage.
 * Familiarity with NLP pipelines and text classification applied to unstructured data.
 * Experience in public sector or regulated environments.
 * Azure certifications in data science or AI are a plus., * Strong oral and written communication skills for data storytelling with diverse audiences.
 * Demonstrated experience with Git-based version control and collaborative development practices.
 * Eagerness to learn and adopt new technologies, while actively contributing to team knowledge-sharing.
 * Must be able to pass a Federal agency background check and obtain a government-issued. ID badge before starting work.

## Description

As a Mid-Level Data Scientist, you will support efforts to design and implement advanced statistical and AI/ML solutions focused on extracting actionable insights, evaluating model performance, and leveraging semantic analysis techniques to enhance product safety decision-making. This role emphasizes innovation, efficiency, and interpretability in modern cloud data environments, contributing to strategic acceleration toward an AI-powered product safety Sentinel model that protects more consumers, faster, from more hazards.
Key Responsibilities
Insight Extraction & Semantic Analysis

 * Apply semantic and vibe coding efficiencies to uncover patterns and thematic insights from structured and unstructured data.
 * Translate complex data into clear, actionable narratives through data storytelling and visualization.
Model Development & Evaluation

 * Design, implement, and maintain AI approaches (such as product similarity) and predictive models (supervised and unsupervised) for anomaly detection, classification, regression, and pattern recognition.
 * Conduct rigorous model evaluation using precision, recall, F1 score, AUC, and other performance metrics to ensure reliability and fairness.
Innovation & Efficiency

 * Demonstrate an innovative mindset by exploring emerging technologies, creative approaches, and novel methodologies to solve complex problems efficiently.
 * Utilize modern efficiency tools and frameworks such as GitHub Copilot, automated pipelines, and CI/CD to streamline development and deployment.
 * Optimize workflows for scalability in cloud environments (Azure).
Collaboration & Communication

 * Work collaboratively within Agile teams, contributing to iterative development, shared problem-solving, and continuous improvement.
 * Communicate complex analytical findings clearly to both technical and non-technical stakeholders.
 * Maintain documentation and leverage Git-based version control for collaborative development.