Data Scientist — ML & Analytics for Impact

Kardow; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Matrix is seeking a data scientist to join a growing team delivering machine learning and analytics solutions for complex business challenges. You will work with large-scale datasets, develop models, and collaborate with product, engineering, and customer success teams to drive measurable impact.

In this customer-facing role, you will lead data science efforts across pilots and production deployments, build strong customer relationships, and translate business requirements into technical

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 2+ years of experience in Data Science, Data Engineering, ML, or Big Data development.
• Strong programming skills in Python and PySpark.

Responsibilities

• Design and implement data science solutions across the project lifecycle.
• Analyze large datasets to identify trends and actionable insights.
• Develop and optimize ML models and analytics workflows.
• Perform feature engineering and data preparation for predictive modeling.

Skills

Python

PySpark

Apache Spark

Machine Learning

MLflow

Airflow

SQL

Big Data Analytics

Feature Engineering

Statistical Analysis

Tools

MLflow

Airflow

Job description

Matrix is seeking a data scientist to join a growing team delivering machine learning and analytics solutions for complex business challenges. You will work with large-scale datasets, develop models, and collaborate with product, engineering, and customer success teams to drive measurable impact.

In this customer-facing role, you will lead data science efforts across pilots and production deployments, build strong customer relationships, and translate business requirements into technical