What are the responsibilities and job description for the Data Scientist position at Stellar Professionals LLC?
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.