Data Scientist / Database Architect

About the job

The Data Scientist / Database Architect will serve as a critical architect and analytical engine for our growing insights team, supporting a suite of data-driven initiatives across the organization. This role is not just about building databases — it’s about making data actionable. The ideal candidate brings experience from a corporate retail or e-commerce environment and can seamlessly integrate diverse datasets to drive strategic decisions.

Located in the Bentonville, AR area, this position is on-site and central to how we structure, analyze, and deliver intelligence to both internal and external stakeholders. Heavy AI and machine learning experience is strongly preferred, and advanced analytical instincts are essential.

Key Responsibilities:

Data Architecture & Integration

• Design and maintain a scalable infrastructure that unifies multiple data sources, including POS, syndicated, loyalty, operational, and third-party data, into a coherent and high-performance environment.
• Build and maintain robust ETL pipelines for ingesting, cleansing, and transforming structured and unstructured data.
• Ensure the infrastructure supports both daily reporting and deep-dive exploratory analytics.

Data Analysis & Modeling

• Serve as a lead analyst across the organization, translating complex data into actionable insights.
• Conduct advanced analytics to support strategy, product development, and market research.
• Develop models and forecasting tools using Python, R, SQL, or other statistical languages.
• Contribute to AI/ML-based projects for predictive analytics, automation, or consumer segmentation.

Dashboarding & Visualization Support

• Enable data storytelling through the creation and maintenance of dashboards and visualizations.
• Collaborate with researchers and analysts to ensure clean and consistent data feeds into Forsta, Power BI, and Tableau environments.
• Help define and enforce data taxonomy and governance to keep systems clean and scalable.

Cross-Team Collaboration

• Act as a key technical liaison between insights, research, design, and executive teams.
• Troubleshoot data issues and provide technical support to non-technical stakeholders.
• Contribute to broader organizational initiatives that depend on data structure and access.

Qualifications:

• Minimum 7 years of experience in a retail, e-commerce, or digital product environment working with enterprise-level datasets.
• Expertise in SQL, cloud-based platforms (AWS, GCP, or Azure), and strong knowledge of data warehousing best practices.
• Proficiency in Python and/or R for advanced statistical analysis and machine learning.
• Deep familiarity with dashboarding tools like Power BI, Tableau, and data visualization platforms like Forsta.
• Strong understanding of data normalization, security, and governance.
• Experience integrating and analyzing data from disparate systems (POS, loyalty, inventory, etc.).
• Demonstrated success in producing real-time and strategic insights from complex datasets.

Preferred Education:

• Degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• Master’s degree preferred, but equivalent real-world experience will be considered.

Preferred Skills:

• Experience applying AI/ML to consumer modeling, trend forecasting, or data automation.
• Ability to act as both architect and analyst — building systems and producing insights.
• Clear communicator who can explain complex ideas to non-technical teams.

Benefits:

· Competitive salary

· Health, dental, and vision insurance

· Paid time off and retirement plan options

· Opportunities for professional development and continuing education