Data Scientist

We are seeking an experienced Data Scientist to analyze complex datasets, build predictive models, and deliver actionable insights that support strategic decision-making. If you love extracting trends from structured and unstructured data, engineering scalable data pipelines, and driving innovation through machine learning, we want to hear from you!

Position Overview

• Location: Raleigh, NC 27601 (Strictly Local to North Carolina Only)
• Work Arrangement: Hybrid
• Interview Process: Webcam or In-Person Interview

Key Skills & Requirements (What We Are Looking For)

To excel in this position, your background must include strong experience across these core areas:

• Modeling & Machine Learning: Strong experience in predictive modeling, machine learning algorithms, statistical analysis, and data mining.
• Core Programming Stack: High proficiency with Python, R, and SQL, alongside modern data manipulation and feature engineering libraries.
• Data Preparation: Proven ability to clean, validate, and preprocess complex structured and unstructured datasets.
• Data Visualization: Experience building intuitive dashboards, reports, and KPI tracking systems using tools like Power BI or Tableau.
• Mandatory Background: State Government or Public Sector experience is REQUIRED for this role.

Preferred (Bonus Points)

• Familiarity with cloud-based analytics environments and big data platforms.
• Experience with automated data engineering workflows and pipeline architectures.
• Knowledge of model governance, model drift tracking, and continuous optimization.

Main Responsibilities

• Analyze large datasets to identify actionable patterns, translating complex technical insights into data-driven narratives for non-technical leadership.
• Build and maintain efficient pipelines for extraction, transformation, and loading (ETL) workstreams.
• Monitor, validate, and optimize model performance over time to maintain accuracy and operational efficiency.

Minimum Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Proven experience as a Data Scientist in an enterprise environment.