Data scientist

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

Banking & Finance,Utilities/ Energy,Telecom,Aerospace/ Airlines,IT/Software,Media/ Entertainment

Work Authorization:

Key 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 exploratory data analysis (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

SKILL-SETS:

Core technical experience:

• Intermediate SQL
• Selects, Filter, Joins, Group by creation Value update / delete
• Advanced Python
• Writing efficient code
• Modular / reusable code (functions)
• Documenting code
• Classes
• Processing pipelines
• Pandas
• Nice to have: Text data processing, Document (PDF/Excel) processing
• General git experience
• General agile experience

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.