Data Scientist

About the role

GALLS, LLC is seeking a highly technical and commercially minded AI/ML Data Scientist to build intelligent agents, automation systems, and scalable workflows that can continuously monitor, analyze, and execute business processes at scale. The ideal candidate will design and implement intelligent systems that improve operational efficiency, automate workflows, optimize pricing and merchandising, enhance financial analysis, and support business growth initiatives.

Responsibilities

• Lead the development and execution of scalable AI and automation initiatives across the business
• Identify opportunities to improve operational efficiency, decision-making, and business performance through intelligent, data-driven solutions
• Design and implement systems leveraging LLMs, RAG, agentic AI frameworks, knowledge graphs, and advanced machine learning techniques
• Build AI agents and autonomous workflows capable of supporting a 24/7 ecommerce operation
• Research, evaluate, and implement emerging AI technologies, frameworks, and methodologies
• Develop, train, validate, and deploy machine learning, NLP, and GenAI models for operational and commercial use cases
• Apply machine learning techniques including forecasting, optimization, recommendation systems, anomaly detection, and predictive analytics
• Perform feature engineering, experimentation, model evaluation, benchmarking, and performance optimization
• Establish evaluation and monitoring frameworks for AI and GenAI model performance
• Build and maintain scalable data pipelines, ingestion systems, and automation workflows
• Integrate and centralize data from APIs, ecommerce platforms, ERP systems, databases, and third-party providers
• Ensure enterprise data is reliable, accessible, and structured for analytics, reporting, and intelligent automation initiatives
• Deliver analytics, dashboards, forecasting models, and reporting solutions supporting pricing, finance, merchandising, operations, inventory, and growth initiatives
• Partner with stakeholders across Ecommerce, Operations, Finance, Compliance, Legal, Merchandising, Risk, and IT to deliver scalable AI and analytics solutions
• Translate business challenges into structured AI, machine learning, and data science initiatives
• Support the adoption and integration of AI-driven tools, workflows, and automation capabilities across the organization
• Communicate technical findings, insights, and recommendations clearly to both technical and non-technical stakeholders

Requirements

• Master’s or PhD degree in Computer Science, Machine Learning, Engineering, or another highly quantitative discipline
• 5+ years of hands-on experience building AI/ML/NLP solutions and applying statistical analysis to solve complex business problems
• Strong programming skills in Python and SQL, with experience developing scalable production-ready solutions
• Experience designing and deploying systems leveraging LLMs, RAG pipelines, agentic AI frameworks, vector databases, and semantic search
• Experience with modern AI/ML frameworks and tooling such as LangChain, LangGraph, CrewAI, OpenAI SDK, Hugging Face, PyTorch, and related ecosystems
• Familiarity with vector stores, graph databases, SPARQL, Linux environments, and modern software engineering practices
• Experience with experimentation, benchmarking, model evaluation, and LLM performance assessment methodologies
• Strong understanding of SDLC principles, Git/version control workflows, and scalable software architecture
• Experience supporting ecommerce, B2B/B2C operations, merchandising, pricing, finance, fraud/risk, or operational analytics initiatives
• Strong analytical, communication, problem-solving, and stakeholder management skills

Qualifications

• Experience with data pipelines, APIs, ETL workflows, and cloud-based data platforms
• Experience with experimentation, benchmarking, model evaluation, and LLM performance assessment methodologies
• Experience with SDLC principles, Git/version control workflows, and scalable software architecture
• Experience supporting ecommerce, B2B/B2C operations, merchandising, pricing, finance, fraud/risk, or operational analytics initiatives
• Strong analytical, communication, problem-solving, and stakeholder management skills

Skills

• Expertise in Python and SQL
• Experience with modern AI/ML frameworks and tooling
• Knowledge of data pipelines, APIs, ETL workflows, and cloud-based data platforms
• Experience with experimentation, benchmarking, model evaluation, and LLM performance assessment methodologies
• Understanding of SDLC principles, Git/version control workflows, and scalable software architecture
• Experience supporting ecommerce, B2B/B2C operations, merchandising, pricing, finance, fraud/risk, or operational analytics initiatives

Benefits

• Excellent medical/dental and vision coverage
• 401(k) retirement plan with company contribution
• Flexible benefits
• Employee discount
• Vacation and Personal Time
• Paid Holidays
• Tuition reimbursement
• Daily Pay: up to 50% of your pay

Pay

• Up to 50% daily pay

Schedule

• Full-time