Data Scientist — ML, Predictive Analytics & Dashboards

Machine Learning Technologies, LLC; Charlotte (NC); On-site; USD 90,000 - 140,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a data-driven professional to analyze structured and unstructured data, build and deploy machine learning models, and deliver predictive analytics solutions.

The role requires strong Python, SQL, and Pandas skills, along with data cleaning, feature engineering, and the ability to communicate insights to stakeholders. Collaboration with cross-functional teams is essential for success.

Qualifications

• Experience analyzing structured and unstructured data to identify trends and insights.
• Experience building, validating and deploying ML models.
• Ability to develop predictive and prescriptive analytics solutions.
• Strong data cleaning and feature engineering capabilities.
• Ability to collaborate with data engineers, product teams and business stakeholders.

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

Pandas

Data cleaning

Code efficiency

Modular code

Documentation

Text data processing

Tools

Git

Job description

Machine Learning Technologies, LLC is seeking a data-driven professional to analyze structured and unstructured data, build and deploy machine learning models, and deliver predictive analytics solutions.

The role requires strong Python, SQL, and Pandas skills, along with data cleaning, feature engineering, and the ability to communicate insights to stakeholders. Collaboration with cross-functional teams is essential for success.