AI-Driven Marketing Data Scientist for Campaign Analytics

IWCO Job Posting (Updated); Chanhassen (MN); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) plan

Paid holidays, vacation, and sick time

Life insurance

Job summary

IWCO is seeking a Marketing Data Scientist to lead data-driven marketing solutions, developing predictive models, audience strategies, and measurement frameworks. The role requires translating complex data into actionable insights for clients and executives, with strong SQL/Python and BI tool experience.

The position emphasizes collaboration across marketing and operations, adherence to data security standards, and continuous process improvement within a fast-paced environment.

Qualifications

• Bachelor's Degree in Data Science, Marketing Analytics, Statistics, or related field (or equivalent experience).
• 2+ years' experience with Python (Pandas, NumPy, XGBoost, etc.) and SQL is required.
• Experience with modern cloud platforms such as Snowflake or Databricks is required.
• Experience with BI tools such as Tableau or Power BI is required.
• Familiarity with AI tools and applications in data workflows is preferred.
• Knowledge of multi-channel marketing is preferred.

Responsibilities

• Develop predictive models for customer targeting, response, retention, and other marketing use cases.
• Support models across lifecycle: feature engineering, development, assessment, improvement.
• Translate data into actionable recommendations for clients and executives.
• Lead data preparation, audience segmentation, list generation, and file processing.
• Design and run marketing experiments; develop measurement datasets for campaigns.

Skills

SQL

Python

Data visualization

Communication

Education

Bachelor's Degree in Data Science, Marketing Analytics, Statistics, or related field

Tools

Snowflake

Databricks

Tableau

Power BI

Job description

IWCO is seeking a Marketing Data Scientist to lead data-driven marketing solutions, developing predictive models, audience strategies, and measurement frameworks. The role requires translating complex data into actionable insights for clients and executives, with strong SQL/Python and BI tool experience.

The position emphasizes collaboration across marketing and operations, adherence to data security standards, and continuous process improvement within a fast-paced environment.