Data Scientist (AI Automation & Campaign Analytics) Remote

Apex Systems; Minneapolis (MN); On-site; USD 90,000 - 130,000; Full time

Job summary

Apex Systems is seeking a Mid Level Data Scientist to help automate media operations workflows and build AI-driven models to measure campaign effectiveness. The role focuses on processing unstructured data and creating a deployable solution with production-grade code.

You will work with Databricks/Snowflake, Python, and Bedrock LLMs to analyze large datasets and compare on-site behavior with audience quality metrics.

Qualifications

• Experience with Python.
• Demonstrated experience with Agentic AI.
• Familiarity with Bedrock LLMs.
• Experience in data science modeling.
• Proficiency with Databricks or Snowflake.
• Experience working with large datasets (hundreds of GBs to TBs).
• Knowledge of AWS, including Lambdas for orchestration.

Responsibilities

• Develop an automated process using AI-native tools to load unstructured data from PDFs and emails into Databricks tables.
• Build data science models to analyze user behavior at an aggregate level.
• Create models that compare on-site behavior to audience quality data to determine campaign effectiveness.
• Develop AI agents to extract key fields from unstructured sources (audience quality metrics, campaign data).
• Standardize, clean, and enrich data by normalizing formats and resolving inconsistencies.
• Write production-grade code and work toward a deployable model.
• Collaborate with engineering teams on integration with the in-house tech stack.

Skills

Python

Agentic AI

Bedrock LLMs

Tools

Databricks

Snowflake

AWS Lambda

Job description

Apex Systems is seeking a Mid Level Data Scientist to help automate media operations workflows and build AI-driven models to measure campaign effectiveness. The role focuses on processing unstructured data and creating a deployable solution with production-grade code.

You will work with Databricks/Snowflake, Python, and Bedrock LLMs to analyze large datasets and compare on-site behavior with audience quality metrics.