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.
Requirements
- 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.
- 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.
- Experience with cloud-based AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) for scalable deployment.
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.
- 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.
- 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.
Other
- 5+ years of experience in data science, delivering end-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.
- 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.
