Data Scientist

Stellar Professionals
Raleigh, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 204K

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.

Benefits & conditions

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