{"schemaVersion":"jobsearcher.job.v1","id":"bcffecea96568255b05a09c6","url":"https://jobsearcher.com/jobs/bcffecea96568255b05a09c6","canonicalUrl":"https://jobsearcher.com/jobs/bcffecea96568255b05a09c6","title":"Data Scientist - Waste Management","description":"Data Scientist – AI/ML FocusWe are seeking a curious, proactive, and innovative Data Scientist with a strong foundation in AI/ML and Large Language Models (LLMs) to join our team. The ideal candidate has experience blending various datasets, building statistical/machine learning models, and deploying AI-driven solutions that drive business impact. This role involves working with LLMs, natural language processing (NLP), and deep learning techniques to develop AI-powered applications. You will play a pivotal role in designing, training, and deploying scalable AI/ML models, while also translating complex data insights into actionable business strategies.Key Responsibilities:AI/ML Model Development: Design, train, and fine-tune machine learning and deep learning models, including LLMs, for predictive analytics, automation, and AI-driven decision-making.Data Analysis & Feature Engineering: Collect, process, and analyze structured and unstructured data, engineering relevant features to improve model performance.Agent-Based & NLP Applications: Develop LLM-based AI solutions with a focus on prompt engineering, fine-tuning, and inference optimization.Business Impact & Decision Support: Translate complex data science methodologies into actionable insights, collaborating with stakeholders to drive business value.End-to-End Model Deployment: Work with MLOps best practices to deploy and monitor models in production, ensuring scalability, efficiency, and reliability.Data Storytelling & Visualization: Develop clear, compelling presentations and dashboards to communicate findings to non-technical stakeholders.Requirements:Technical Skills:AI & Machine Learning: Experience in predictive modeling, NLP, deep learning, and LLM-based applications (e.g., GPT, BERT, LangChain).Programming: Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).Data Engineering & SQL: Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.Cloud & MLOps: Experience with AWS (SageMaker, S3, Redshift), Snowflake, and ML pipeline automation.Version Control & Collaboration: Proficiency using Git for code versioning and teamwork.Soft Skills:Curious & Innovative: Passionate about solving complex business problems using data and AI.Ownership & Initiative: Proactively drive projects from conception to deployment.Business Acumen: Understand how AI/ML solutions impact business goals and decision-making.Effective Communication: Ability to explain technical models and AI methodologies to non-technical audiences.Preferred Qualifications:Graduate degree (Master's or Ph.D.) in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics).Experience with dashboarding tools (e.g., Power BI, Dash, Streamlit) for model performance monitoring.Familiarity with reinforcement learning and AI agent-based applications.This role is ideal for a Data Scientist who wants to work at the cutting edge of AI and ML, leveraging LLMs, NLP, and predictive analytics to drive meaningful impact.","company":"ShiftCode Analytics","rawCompany":"shiftcode analytics","city":"Houston","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-25T04:36:15.297Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist - Waste Management","description":"Data Scientist – AI/ML FocusWe are seeking a curious, proactive, and innovative Data Scientist with a strong foundation in AI/ML and Large Language Models (LLMs) to join our team. The ideal candidate has experience blending various datasets, building statistical/machine learning models, and deploying AI-driven solutions that drive business impact. This role involves working with LLMs, natural language processing (NLP), and deep learning techniques to develop AI-powered applications. You will play a pivotal role in designing, training, and deploying scalable AI/ML models, while also translating complex data insights into actionable business strategies.Key Responsibilities:AI/ML Model Development: Design, train, and fine-tune machine learning and deep learning models, including LLMs, for predictive analytics, automation, and AI-driven decision-making.Data Analysis & Feature Engineering: Collect, process, and analyze structured and unstructured data, engineering relevant features to improve model performance.Agent-Based & NLP Applications: Develop LLM-based AI solutions with a focus on prompt engineering, fine-tuning, and inference optimization.Business Impact & Decision Support: Translate complex data science methodologies into actionable insights, collaborating with stakeholders to drive business value.End-to-End Model Deployment: Work with MLOps best practices to deploy and monitor models in production, ensuring scalability, efficiency, and reliability.Data Storytelling & Visualization: Develop clear, compelling presentations and dashboards to communicate findings to non-technical stakeholders.Requirements:Technical Skills:AI & Machine Learning: Experience in predictive modeling, NLP, deep learning, and LLM-based applications (e.g., GPT, BERT, LangChain).Programming: Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).Data Engineering & SQL: Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.Cloud & MLOps: Experience with AWS (SageMaker, S3, Redshift), Snowflake, and ML pipeline automation.Version Control & Collaboration: Proficiency using Git for code versioning and teamwork.Soft Skills:Curious & Innovative: Passionate about solving complex business problems using data and AI.Ownership & Initiative: Proactively drive projects from conception to deployment.Business Acumen: Understand how AI/ML solutions impact business goals and decision-making.Effective Communication: Ability to explain technical models and AI methodologies to non-technical audiences.Preferred Qualifications:Graduate degree (Master's or Ph.D.) in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics).Experience with dashboarding tools (e.g., Power BI, Dash, Streamlit) for model performance monitoring.Familiarity with reinforcement learning and AI agent-based applications.This role is ideal for a Data Scientist who wants to work at the cutting edge of AI and ML, leveraging LLMs, NLP, and predictive analytics to drive meaningful impact.","datePosted":"2026-08-25T04:36:15.297Z","dateModified":"2026-08-25T04:36:15.297Z","hiringOrganization":{"@type":"Organization","name":"ShiftCode Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Houston","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bcffecea96568255b05a09c6"},"url":"https://jobsearcher.com/jobs/bcffecea96568255b05a09c6"}}