Data Scientist

Stellar Professionals
Raleigh, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Raleigh, United States of America

Tech stack

Big Data
Cloud Computing
Computer Programming
Data Cleansing
Information Engineering
ETL
Data Mining
Data Visualization
R
Python
Machine Learning
Power BI
SQL Databases
Tableau
Unstructured Data
Data Processing
Feature Engineering
Information Technology
Data Analytics
Performance Monitor

Job description

  • 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.

Requirements

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., * 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.

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