Retail Data Science Manager (Hybrid)

Forsyth Barnes; Arkansas; Hybrid; USD 216,000 - 264,000; Full time

Job summary

Forsyth Barnes is partnering with a large US retailer to hire a Data Science Manager in Arkansas. The role leads a data science team, shaping analytics that drive commercial performance across multi-channel environments.

You will guide technical direction, manage stakeholders, and ensure models deliver tangible business value while maintaining responsible data practices and scalable solutions.

Qualifications

• Recent experience leading data science teams in a complex commercial setting.
• Proven ability to translate business questions into analytical solutions.
• Strong track record of delivering predictive models and analytics products.

Responsibilities

• Set direction for a portfolio of data science initiatives tied to commercial performance and customer outcomes.
• Coach and develop data scientists with clear objectives and feedback.
• Translate business questions into structured analytical approaches and measurable success criteria.
• Oversee design, validation, deployment and improvement of predictive models and analytics solutions.
• Partner with product, technology, merchandising, operations, finance and senior stakeholders to prioritise opportunities and remove barriers.
• Establish practices for experimentation, monitoring, documentation, reproducibility, and responsible data use.
• Present findings clearly to enable timely executive decisions.
• Identify opportunities to scale solutions across stores, channels, and markets.

Skills

Data Science

Team leadership

Stakeholder management

Statistical modeling

Python

SQL

Cloud platforms

Tools

AWS

Azure

GCP

ML frameworks

Job description

Forsyth Barnes is partnering with a large US retailer to hire a Data Science Manager in Arkansas. The role leads a data science team, shaping analytics that drive commercial performance across multi-channel environments.

You will guide technical direction, manage stakeholders, and ensure models deliver tangible business value while maintaining responsible data practices and scalable solutions.