US LBM is one of the leading and fastest growing distributors of specialty building materials in the United States, with a team of over 15,000 employees located throughout the country. Since our founding in 2009, we have acquired over 70 companies and have expanded to more than 500 locations serving 37 states. US LBM is a progressive organization that promotes a unique culture that focuses on the value of its customers and associates. Developing our people is critical to our strategy and fostering our culture of empowerment.

A Brief Overview
The US LBM Data Scientist will help drive US LBM's initiatives and provide meaningful insight to deliver business value. As a member of the US LBM Enterprise Data and Analytics team, you help cultivate the culture of data-driven decision-making across our business. From business analytics to demand planning to pricing optimization to purchasing decisions, the Analytics team brings the power of our extensive data assets and capabilities to bear on US LBM's important decisions. As a Data Scientist at US LBM, you will leverage your analytical skills and expertise in data science to help with sales, pricing, optimize supply chain, improve inventory management, logistics, enhance customer insights, and support strategic business decisions. You will work closely with cross-functional teams, including operations, finance, sales, and supply chain to turn data into actionable insights.

What you will do

• Partner with business stakeholders to gather requirements and translate them into technical specifications and process documentation for IT counterparts.
• Conduct exploratory data analysis to identify patterns, anomalies, and relationships within the data.
• Generate summary statistics and visualizations to provide insights into the data's characteristics.
• Apply statistical techniques to test hypotheses and validate models.
• Perform regression analysis, hypothesis testing, and other statistical methods to extract actionable insights.
• Develop and train machine learning models to solve specific business problems (e.g., classification, regression, clustering etc.).
• Build predictive models to forecast future trends, such as demand forecasting, customer behavior prediction, product recommendation etc.
• Evaluate model performance using appropriate metrics and validate results with cross-validation techniques.
• Select appropriate algorithms and optimize model performance through hyperparameter tuning.
• Develop, fine-tune, and deploy Large Language Models for various applications such as text generation, sentiment analysis, and information retrieval.
• Integrate LLMs into existing data pipelines and business processes.
• Develop custom algorithms and tools to address specific business challenges.
• Continuously improve/fine tune existing models and algorithms based on new data and feedback loops.
• Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
• Experiment with new techniques and technologies to enhance analytical capabilities.

Education Qualifications

• Bachelor's Degree or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Experience Qualifications

• 5+ years of experience working in Data science roles operational environments or business consulting organizations.
• Working knowledge of large data set manipulation using SQL.
• Hands-on experience with state-of-the-art LLMs such as GPT-3, GPT-4, BERT, T5, etc.

Skills and Abilities

• Proficiency in programming languages commonly used in machine learning such as Python. Should be comfortable with libraries like TensorFlow, PyTorch, scikit-learn, or Keras.
• Understanding of statistical concepts and techniques is essential for data preprocessing, model evaluation, and interpretation of results.
• Ability to manipulate and preprocess data efficiently using libraries like pandas for data manipulation and NumPy for numerical operations.
• Familiarity with various machine learning algorithms including supervised and unsupervised learning methods like regression, classification, clustering, and dimensionality reduction etc.
• Good understanding of deep learning architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and their applications
• Strong analytical and problem-solving skills to approach real-world challenges and devise effective solutions using machine learning techniques.
• Ability to communicate effectively, both verbally and in writing, to convey complex technical concepts to non-technical stakeholders and collaborate within a team environment.
• Exposure to reporting tools using Tableau.

Competencies

• Customer Focus – Building strong customer relationships and delivering customer-centric solutions
• Accountability – holding self and others accountable to meet commitments.
• Communicates Effectively – Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Decision Quality – Making good and timely decisions that keep the organization moving forward
• Being Resilient – Rebounding from setbacks and adversity when facing difficult situations
• Tech Savvy – Anticipating and adopting innovations in business-building digital and technology applications
• Collaborates – Building partnerships and working collaboratively with others to meet shared objectives

US LBM Holdings, LLC, is an equal-opportunity employer. We do not discriminate on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, marital status, military status, order of protection status, or any other legally recognized protected basis under federal, state, or local law.