Data Scientist II

eSimplicity

Data Scientist II supporting government agencies with AI/ML solutions for improved decision-making and product safety. Streamlining data insights with modern analytics and collaboration in cloud environments.

Posted 4/17/2026full-timeRemote • Maryland • 🇺🇸 United StatesJuniorMid-Level💰 $83,000 - $113,100 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Apply semantic 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.
Design, implement, and maintain AI approaches (such as product similarity) and predictive models (such as 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.
Demonstrate an innovative mindset by exploring emerging technologies, creative approaches, and novel methodologies to solve complex problems efficiently.
Utilize modern efficiency tools and frameworks (e.g., GitHub Copilot, automated pipelines, CI/CD) to streamline development and deployment.
Optimize workflows for scalability in cloud environments (Azure).
Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement.
Engage closely with project managers, technical leads, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with technical goals.
Translate technical specifications into code and design documents.

Requirements

What you’ll need

Bachelor’s degree, or equivalent experience in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field.
2+ years developing statistical and AI/ML models using leading-edge tools and best practices.
2+ years building regression, classification, NLP, and other statistical/ML models for predictive analytics.
2+ years hands-on experience with Python (such as Pandas, Scikit-learn, PyTorch/TensorFlow for deep learning).
2+ years working in modern cloud environments (Azure); certifications advantageous.
2+ years experience with SQL for data manipulation and querying.
Proficiency in dashboard visualization tools (Power BI or equivalent).
Proven ability to integrate semantic coding techniques into ML workflows.
Strong oral and written communication skills for data storytelling.
Demonstrated experience with Git-based version control and collaborative development.
Demonstrated ability to collaborate effectively within Agile teams, contributing to iterative development, shared problem-solving, and continuous improvement to deliver high-quality solutions.
Proven ability to manage time and prioritize tasks in a fast-paced environment.
Demonstrated problem-solving skills with a proactive and solution-oriented mindset.

Benefits

Comp & perks

We offer a highly competitive salary and full healthcare benefits.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI modelspredictive modelsanomaly detectionclassificationregressionNLPPythonSQLdashboard visualizationsemantic coding

Soft Skills

communicationproblem-solvingcollaborationtime managementprioritizationinnovationadaptabilityteamworkcontinuous improvementdata storytelling