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Ld Data ScientistMedline Industries - Transportation & Operations • United States
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Ld Data Scientist

Medline Industries - Transportation & Operations
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  • US
    United States
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  • +8
  • US
    United States
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About

Job Summary Medline is seeking a lead data scientist for its Mpower team, responsible for building an AI driven supply chain optimization and resiliency product. As a Lead Data Scientist on the Mpower team, you will drive innovation by building and deploying traditional machine learning and LLM-based models to optimize supply chain and enhance customer experience. Your work will directly contribute to Mpower’s success and customer satisfaction.Job Description MAJOR RESPONSIBILITIES Build traditional machine learning models to optimize process, improve supply chain resiliency, and enhance customer experience Design and implement LLM agents Collaborate with cross-functional teams to integrate machine learning solutions into business processes. Design and implement end-to-end machine learning pipelines that are fully integrated within cloud-native architectures, ensuring scalability and robustness. Continuously monitor, evaluate, and enhance the performance and efficiency of ML systems deployed on cloud infrastructures. MINIMUM JOB REQUIREMENTS Education Bachelor’s degree in computer science, Data Science, AI, Statistics, or a related field. 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. The anticipated salary range for this position: $115,440.00 - $173,160.00 AnnualThe actual salary will vary based on applicant’s location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here . For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. We’re dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here . Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

Nice-to-have skills

  • AWS
  • Azure
  • Machine Learning
  • PyTorch
  • Python
  • R
  • Scikit-learn
  • TensorFlow
  • United States

Work experience

  • Machine Learning
  • Data Scientist

Languages

  • English
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