Data Scientist: Predictive Analytics & ML Models

Quantum Technologies. LLC; Charlotte (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

Quantum Technologies LLC is seeking a data scientist to analyze structured and unstructured data, build and deploy ML models, and develop analytics solutions. You will perform data cleaning, feature engineering, and EDA while collaborating with data engineers, product teams, and business stakeholders.

You will communicate findings via dashboards and reports, and monitor model performance to ensure quality and governance.

Qualifications

• Experience building ML models and analytics solutions.
• Proficient in data cleaning, feature engineering, and EDA.
• Ability to deploy predictive models and monitor performance.
• Strong Python and Pandas skills with clean, modular code.
• Experience collaborating with data engineers and stakeholders.
• Familiarity with version control and agile methods.

Responsibilities

• Analyze structured and unstructured data to identify trends, patterns, and insights.
• Build, validate, and deploy machine learning and statistical models.
• Develop predictive and prescriptive analytics solutions.
• Perform data cleaning, feature engineering, and EDA.
• Collaborate with data engineers, product teams, and business stakeholders.
• Communicate findings through dashboards, reports, and presentations.
• Monitor and improve model performance over time.
• Ensure data quality, governance, and best practices.

Skills

SQL

Python

Data Cleaning

Pandas

ETL Pipelines

Code Documentation

Git

Agile

Modular Code

Text Processing

Job description

Quantum Technologies LLC is seeking a data scientist to analyze structured and unstructured data, build and deploy ML models, and develop analytics solutions. You will perform data cleaning, feature engineering, and EDA while collaborating with data engineers, product teams, and business stakeholders.

You will communicate findings via dashboards and reports, and monitor model performance to ensure quality and governance.