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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Corporate Functions - **Location:** Denver, CO, United States - **Experience:** Expert - **Salary:** $142,560.0 - $178,200.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Unity 3d, Artificial Intelligence, Application Frameworks, Microsoft Azure, Big Data, Cloud Database, Cluster Analysis, Computer Programming, Continuous Integration, Information Engineering, Decision Support Systems, DevOps, Distributed Computing Environment, Statistical Hypothesis Testing, Information Retrieval, Python (Programming Language), Machine Learning, NumPy, Recommender Systems, OpenAI, Tensorflow, Standard Sql, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Generative AI, Agentic-AI, Git, Pandas, Build Management, Data Lakes, AI Platforms, Scikit Learn, Kubernetes, Information Technology, Optimization Algorithms, Data Management, Machine Learning Operations, Model Context Protocol, Streamlit Framework, Databricks - **Published:** October 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=90a0b8962f09d672 ## About the Role We are looking for a highly skilled data scientist who combines deep technical expertise with strong business acumen and stakeholder leadership. Data Science & Machine Learning * Expertise in machine learning techniques including regression, classification, clustering, recommendation systems, forecasting, and optimization. * Strong foundation in statistics, hypothesis testing, experimental design, and predictive analytics. * Experience developing and deploying production-ready machine learning models. * Advanced knowledge of time-series forecasting methodologies and model evaluation techniques. Generative AI & AI Engineering * Experience designing and deploying enterprise Generative AI solutions. * Proficiency working with large language models, prompt engineering, model evaluation, and fine-tuning techniques. * Experience building solutions using RAG architectures, vector databases, embeddings, and knowledge retrieval systems. * Experience developing AI agents, autonomous workflows, and orchestration frameworks. * Understanding of responsible AI practices, governance, explainability, privacy, and risk management. Programming & Data Platforms * Advanced Python development skills with expertise in data science and machine learning libraries. * Strong SQL and data engineering capabilities supporting large-scale analytics environments. * Experience using cloud-based data and AI platforms, preferably Azure Databricks. * Familiarity with distributed data processing, MLOps practices, CI/CD pipelines, and model lifecycle management. Leadership & Communication * Ability to translate complex technical concepts into actionable business insights. * Proven ability to influence decisions across cross-functional teams and leadership groups. * Strong problem-solving skills and ability to work effectively in ambiguous environments. * Collaborative mindset with a passion for mentoring, knowledge sharing, and continuous learning. Preferred Technologies Experience with many of the following technologies is preferred: * Python, Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow * Azure Databricks, Delta Lake, MLflow, Unity Catalog * LangChain, LangGraph, OpenAI APIs, Model Context Protocol (MCP) * Vector databases and RAG architectures * Azure DevOps, Git, CI/CD workflows * Streamlit or similar application frameworks, * Master's degree or Ph.D. in Data Science, Computer Science, Machine Learning, Applied Mathematics, Engineering, or a related field. * Typically 5+ years of progressive experience developing and deploying advanced analytics, machine learning, or AI solutions. * Experience delivering solutions in retail, consumer products, apparel, eCommerce, or consulting environments is a plus. * Proven record of successfully translating business problems into scalable, production-ready AI and data science solutions. ## Description * Develop advanced machine learning solutions that improve decision-making across marketing, merchandising, supply chain, planning, and digital commerce. * Design and implement predictive models, forecasting solutions, and optimization algorithms to solve complex business problems. * Translate business challenges into analytical approaches that drive measurable outcomes and ROI. * Partner with stakeholders to identify opportunities where AI and advanced analytics can create competitive advantage. Build and Scale AI Solutions * Design, develop, and produce machine learning and Generative AI applications. * Build and deploy solutions powered by large language models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and multimodal AI capabilities. * Evaluate, fine-tune, and optimize AI models using both proprietary and open-source frameworks. * Ensure AI solutions are scalable, reliable, secure, and aligned with responsible AI principles. Lead End-to-End Model Development * Partner with Data Engineers to acquire, prepare, and manage large-scale data sets. * Develop and validate statistical, machine learning, deep learning, and forecasting models. * Monitor model performance and continuously improve solutions through experimentation and optimization. * Establish best practices for model development, testing, deployment, and lifecycle management. Influence Across Functions * Present technical findings and business recommendations to leadership and non-technical stakeholders. * Collaborate with Product Managers, Data Engineers, DevOps teams, UX designers, Legal, and Operations partners. * Advocate for data-driven decision making and support broader adoption of AI solutions across the enterprise. * Serve as a trusted technical expert and thought partner on Data Science and AI initiatives.