Data Scientist

This is a fully remote position, open to applicants in Oregon.

📋 Description

• Create and enhance predictive models.

• Perform exploratory data analysis.

• Produce AI-driven insights to improve intelligence and operational planning.

• Incorporate customer feedback into model iteration cycles, utilizing Agile development practices.

• Deliver the Predictive Model Performance Report, which includes key findings, model accuracy metrics, and evaluations of operational impact.

• Execute sprint-based Agile methodologies to ensure swift development cycles, manage backlog grooming, and align with mission objectives.

• Carry out quarterly assessments to monitor cost efficiency, evaluate system performance, and enhance analytic workflows through the Quarterly Cost & Resource Utilization Report.

⛳️ Requirements

• A Bachelor’s degree in Data Science, Statistics, Computer Science, or a related discipline, or seven (7) years of relevant experience in machine learning and predictive modeling.

• Candidates should have the expertise and ability to develop and refine predictive models, analyze extensive datasets, and document analytic processes.

• Skilled in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in handling both structured and unstructured data sources.

• Familiarity with data visualization, feature selection, and geospatial analytics is essential.

• Candidates must be capable of integrating data from various sources, ensuring model accuracy, and functioning within an Agile sprint cycle to deliver iterative enhancements.

• Proven experience in exploratory data analysis, feature engineering, and statistical testing.

• Proficiency in Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

• Candidates must have experience with cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in embedding models into operational workflows.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements and a collaborative team environment.

• Comprehensive health and wellness benefits.