Remote Data Scientist — ML, Dashboards & Insights

Golden Eagle; Philadelphia (Philadelphia County); Remote; USD 110,000 - 170,000; Full time

Job summary

Golden Eagle is seeking a skilled Data Scientist for a fully remote US-based role. You will build data-driven solutions, train ML models, and extract insights to support business decisions.

You will work with structured and unstructured data, develop data pipelines, and present findings via dashboards using Tableau or Power BI. Proficiency in Python or R and ML frameworks is required. You will collaborate with cross-functional teams to implement scalable analytics across the business.

Qualifications

• Bachelor's or Master’s degree in Data Science, Computer Science, or related field.
• 2+ years of experience in data science or analytics.
• Strong knowledge of Python, R, or similar languages.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proficiency in SQL and data manipulation.
• Experience with data visualization tools (Tableau, Power BI).
• Understanding of statistics and predictive modeling.

Responsibilities

• Analyze large datasets to identify trends and actionable insights.
• Build, train, and deploy machine learning models.
• Work with structured and unstructured data.
• Collaborate with engineering and product teams.
• Develop data pipelines and automate workflows.
• Present findings using dashboards and visualization tools.

Skills

Python

R

SQL

Statistics

Communication

Education

Bachelor's or Master’s in Data Science/CS

Tools

TensorFlow

PyTorch

Scikit-learn

Tableau

Power BI

Spark

Job description

Golden Eagle is seeking a skilled Data Scientist for a fully remote US-based role. You will build data-driven solutions, train ML models, and extract insights to support business decisions.

You will work with structured and unstructured data, develop data pipelines, and present findings via dashboards using Tableau or Power BI. Proficiency in Python or R and ML frameworks is required. You will collaborate with cross-functional teams to implement scalable analytics across the business.