Senior Data Scientist

📋 Description

• Build ML models: Develop traditional ML models (classification, regression, anomaly detection) from
• Own the model lifecycle: Feature engineering, validation, deployment, and ongoing performance
• Productionize with engineering: Partner with engineering to productionize models within existing
• Build agentic data products: Develop internal analytics products, from dashboards and self-serve
• Build with LLMs responsibly: Build LLM-powered and agentic applications with proper evaluation
• Drive adoption: Document, train, and enable business stakeholders to self-serve on the tools and

🎯 Requirements

• 5+ years of professional experience in data science, with a track record of shipping ML models and
• Advanced SQL skills and experience with cloud data warehouses (BigQuery preferred)
• Clean, maintainable Python
• Hands-on experience building traditional ML models (classification, regression) from prototype
• Strong statistical fundamentals: feature engineering, validation methodology, and judgment to know
• Hands-on experience building with LLMs and agentic systems (prompting, retrieval, tool use

🎁 Benefits

• Competitive salary and equity based on role
• Flexible paid time off and parental leave programs
• 100% paid-premium option for medical, dental, and vision insurance
• Lifestyle stipend for physical, emotional, and financial wellbeing
• Flexible work-from-home policy and open to remote
• Remote and WFH options, as well as a state-of-the-art office in Dallas' Deep Ellum