Data Scientist in Dallas

We are looking for a high-impact Data Scientist who can turn messy, real-world data into clear insights and actionable dashboards. This is not a “sit back and analyze” role-you will be expected to build, automate, and drive decisions across the business.

You’ll work directly with leadership to identify problems, clean and structure data, and create tools that improve how we buy, price, sell, and operate.

What You’ll Do

• Build and maintain dashboards to track key business metrics (sales, margins, inventory, performance)
• Clean, structure, and unify data from multiple sources (CSV exports, APIs, internal systems)
• Automate recurring workflows (reporting, pricing updates, inventory tracking, alerts)
• Analyze large datasets to identify trends, inefficiencies, and opportunities
• Partner with operations, sales, and leadership to drive data-backed decisions
• Create simple, scalable tools that non-technical team members can use
• Work on ad hoc, high-priority problems with shifting requirements
• Continuously improve data pipelines and reporting accuracy, Gold Standard Auctions is a rapidly growing auction house specializing in coins, precious metals, and collectibles. We handle high volumes of inbound interest from buyers and sellers and are building scalable teams to support our growth.

Company DescriptionGold Standard Auctions is a rapidly growing auction house specializing in coins, precious metals, and collectibles. We handle high volumes of inbound interest from buyers and sellers and are building scalable teams to support our growth.

• A go-getter who takes ownership and figures things out without needing constant direction
• Comfortable in a startup environment where priorities change quickly
• Strong problem solver who can move from messy data * clear insight * action
• Able to balance speed and accuracy in a high-growth environment
• Strong communicator who can explain data to non-technical stakeholders, * 2+ years of experience in data science, analytics, or similar role
• Strong proficiency in Python (pandas, numpy, data processing)
• Strong SQL skills for querying and transforming data
• Experience building dashboards (Tableau, Power BI, Looker, or similar)
• Experience working with messy, unstructured data
• Familiarity with APIs and data integration
• Experience automating workflows and processes, * Experience in e-commerce, marketplaces, or high-volume transaction environments
• Familiarity with forecasting, pricing models, or optimization problems
• Experience with cloud platforms (especially Microsoft Azure)
• Experience with scripting/automation (cron jobs, pipelines, etc.)