Senior Data Scientist: ML, AI & Data-Driven Growth

Premium Guard Inc. (PGI); Lockbourne (OH); In loco; USD 120.000 - 170.000; Tempo pieno

Descrizione del lavoro

Premium Guard, Inc. is seeking a Senior Data Scientist to design, develop, and deploy machine learning and AI solutions that drive business decisions and operational excellence.

The role blends predictive modeling, data engineering, and business partnership to solve complex problems and deliver measurable value across the organization. The ideal candidate will build production-grade models, communicate findings to executives, and collaborate with engineers, analysts, and business stakeholders.

Competenze

• Bachelor’s degree in a quantitative field or related discipline.
• 5+ years of professional data science, machine learning, or advanced analytics.
• Strong Python and SQL skills; able to deploy ML models in production.
• Experience with cloud platforms (AWS/Azure/GCP) and Spark/Databricks.
• Ability to communicate with senior leadership and stakeholders.

Mansioni

• Develop, validate, deploy, and monitor ML models that drive forecasting and optimization.
• Translate business challenges into analytical frameworks and data-driven solutions.
• Create dashboards and analytical products to support decision making.
• Collaborate with Product, Operations, Finance, and IT teams.
• Mentor junior data scientists and contribute to AI strategy.

Conoscenze

Python

SQL

R (preferred)

Formazione

Bachelor's degree in a quantitative field

Strumenti

Spark

Databricks

Azure

AWS

Delta Lake

SQL Server

PostgreSQL

Descrizione del lavoro

Premium Guard, Inc. is seeking a Senior Data Scientist to design, develop, and deploy machine learning and AI solutions that drive business decisions and operational excellence.

The role blends predictive modeling, data engineering, and business partnership to solve complex problems and deliver measurable value across the organization. The ideal candidate will build production-grade models, communicate findings to executives, and collaborate with engineers, analysts, and business stakeholders.