Director, Data Science

General information

Country United States State Georgia City Atlanta Job ID 48678 Department Sales

Description & Requirements

The Data Science Director is accountable for establishing and scaling deep analytics and predictive intelligence capabilities across the enterprise to increase both the operational effectiveness and efficiencies of our internal functions. In this role, you will define where machine learning creates value, build the team and infrastructure to deliver it, and embed data science models & tools into the strategic organization-wide decision-making. This is a foundational role for someone who understands how to translate technical capabilities into business impact across end-to-end customer lifecycle. 

A Day in The Life Typically Includes: 

Basic Qualifications: 

·       Experience in data science, analytics, machine learning, GenAI or related quantitative fields, ideally having managed a high-performing teams.

·       Experience deploying production ML systems that delivered measurable business outcomes (revenue growth, cost reduction, efficiency gains). 

·       Experience operating in enterprise software, SaaS, ERP, or B2B technology environments. 

·       Experience applying GenAI and/or Agentic AI to real-world enterprise use cases. 

·       Deep expertise in machine learning, statistical modeling, optimization, and causal inference, with hands-on experience with modern ML tech stacks (Python, Spark, TensorFlow/PyTorch, cloud platforms), as well as understanding of MLOps practices, model lifecycle management, and production ML infrastructure.

·       Experience designing and deploying GenAI solutions, including LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG), having familiarity with GenAI/LLM applications in enterprise contexts, including Agentic AI frameworks and orchestration tools (e.g., LangChain, AutoGen, Semantic Kernel). 

·       Experience influencing C-suite and drive organizational change, as well as having had experience managing P&L impact and presenting ROI of analytics investments to senior leadership.