Ld Data Scientist

Job Summary

Job Description

Medline Industries is seeking a Lead Data Scientist to drive the design, development, and deployment of AI and machine learning 
solutions that create measurable business impact. This role requires strong technical expertise in machine learning and Generative 
AI (GenAI). The successful candidate will collaborate with cross-functional teams to deliver AI enabled business solutions from proof 
of concept to full-scale deployment.

MAJOR RESPONSIBILITIES

• Scope, design, and execute time-bound Proof of Concepts (PoCs), ensuring alignment with business goals.
• Conduct exploratory data analysis (EDA) to understand data distributions, uncover patterns, and generate actionable insights.
• Work with Product Managers to understand business objectives and success metrics for AI initiatives.
• Work closely with Data Engineers to identify and prepare the necessary data pipelines and infrastructure for model development.
• Partner with AI Engineers to implement ML models and GenAI solutions into applications and workflows effectively.
• Communicate findings and insights to non-technical stakeholders, including process experts and business leaders.
• Lead the design and development of machine learning (ML) models, statistical models, and Generative AI (GenAI) solutions, guiding data scientists and developers through the full development lifecycle.
• Develop feature engineering pipelines and optimize model performance through rigorous experimentation and iteration.
• Co-own User Acceptance Testing (UAT) and pilot phases with Product Managers to ensure business requirements are met.
• Collaborate with AI Ops Engineers to ensure seamless deployment, monitoring, and maintenance of AI solutions in production.
• Stay accountable for model performance by regularly reviewing key metrics, driving retraining, and implementing improvements as needed.
• Stay abreast of emerging AI trends and technologies, evaluating their applicability to Medline’s AI landscape.
• Advocate for and prioritize the adoption of high-impact AI capabilities in collaboration with cross-functional stakeholders.

MINIMUM JOB REQUIREMENTS
Education 

• Bachelor’s degree in computer science, Data Science, AI, Statistics, or a related field.
• Advanced degrees or relevant certifications are a plus.

MINIMUM JOB REQUIREMENTS
Certification / Licensure
Work Experience

• 5+ years of experience in data science, delivering end-to-end AI/ML solutions in a business environment.
• Proven track record in developing and deploying ML models and GenAI applications.
• Strong experience collaborating cross functionally in a large organization.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud-based AI services (AWS, Azure, 
• GCP).
• Expertise in exploratory data analysis (EDA), feature engineering, experiment design, and model building.

Knowledge / Skills / Abilities
Technical Skills:

• Proficiency in programming languages such as Python or R for data analysis and machine learning model development.
• Strong expertise in supervised and unsupervised learning techniques including classical machine learning, time series and NLP.
• Hands-on experience with large language models (LLMs) such as GPT, Claude, or LLaMA, including fine-tuning and prompt engineering.
• Proficiency in retrieval-augmented generation (RAG) using vector databases like FAISS or Pinecone.
• Familiarity with GenAI frameworks such as LangChain or LlamaIndex for enterprise applications.
• Experience with cloud-based AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) for scalable deployment.
• Understanding of model evaluation techniques and guardrails to ensure accuracy, reliability, and compliance.
• Working knowledge of MLOps practices, including model deployment, monitoring, and retraining to maintain long-term performance.

Soft Skills:

• Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts in business-friendly language.
• Strong problem-solving abilities with a proactive, results-driven mindset.
• Ability to work effectively in a fast-paced, matrixed organization with cross-functional collaboration.

PREFERRED JOB REQUIREMENTS
Education 

• Master’s degree in computer science, Data Science, AI, Statistics, or a related field

Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.