Decision Scientist: Next Best Action & Marketing Analytics

Belk; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Belk is seeking a Decision Scientist to design and deploy Next Best Action models that optimize marketing actions across channels such as email, SMS, and push. You’ll develop propensity and lift models, collaborate with marketing tech teams, and apply experimentation and feature engineering to drive personalized customer engagement.

The role requires strong Python/R, SQL, and ML algorithm knowledge, plus experience in production deployments, data pipelines, and CRM-related data sources.

Qualifications

• Bachelor’s degree in a quantitative field.
• 2-4 years of applied data science or similar.
• 1-2 years building models in retail/marketing contexts; production deployment experience is a plus.

Responsibilities

• Design end-to-end NBA decision models for channel, promotion type, creative variant, and send timing at the individual customer level.
• Support reinforcement learning, bandit frameworks, and related techniques in NBA decisioning.
• Develop propensity and uplift models used as inputs to NBA decisioning.
• Measure lift from marketing interventions via customer-level models across channels.
• Collaborate with marketing technology teams to deploy models in real-time environments.

Skills

Python

R

SQL

ML algorithms

Reinforcement learning

A/B testing

Communication

Education

Bachelor’s Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or related quantitative field

Tools

Snowflake

Databricks

Salesforce Marketing Cloud

Job description

Belk is seeking a Decision Scientist to design and deploy Next Best Action models that optimize marketing actions across channels such as email, SMS, and push. You’ll develop propensity and lift models, collaborate with marketing tech teams, and apply experimentation and feature engineering to drive personalized customer engagement.

The role requires strong Python/R, SQL, and ML algorithm knowledge, plus experience in production deployments, data pipelines, and CRM-related data sources.