Data Scientist (Data Warehouse Experience)

IMPORTANT: We cannot offer visa sponsorship at this time. Candidates must be authorized to work in the U.S. without sponsorship now or in the future. About NEXGEN Asset Management NEXGEN Asset Management is a leading Enterprise Asset Management (EAM) platform that combines a powerful Computerized Maintenance Management System (CMMS) with advanced asset planning tools. With over 25 years of expertise, our web-based software empowers organizations to optimize operations and make data-driven decisions. Position Overview We're seeking a detail-oriented Data Scientist (Data Warehouse Experience) to design, build, and optimize the core data infrastructure that powers NEXGEN's analytics, AI, and enterprise asset management solutions. In this role, you'll be responsible for developing and maintaining our data warehouse and pipelines, ensuring accuracy, performance, and scalability across systems. Beyond building the data warehouse, you'll actively use it to develop data science solutions-including feature engineering, predictive models, and analytical insights that drive product and business decisions. You'll collaborate closely with our data and product teams to ensure clean, reliable, and high-performing data flows that support advanced analytics and predictive insights. If you're passionate about building robust data ecosystems and working on projects that directly influence product innovation, this is the opportunity for you. You'll report to the AI Product Manager and play a key role in shaping NEXGEN's data architecture for the future. Responsibilities Data Warehouse Design: Design, build, and maintain the company's data warehouse to support scalable analytics and reporting. Data Modeling: Create and evolve star schemas and warehouse structures optimized for analytics and reporting. ETL / ELT Pipelines: Develop and maintain pipelines that integrate data from application and operational systems. Data Quality & Governance: Ensure accuracy, consistency, documentation, and reliability of warehouse data. Performance Optimization: Monitor and optimize query performance and warehouse efficiency. AI Readiness: Support AI and advanced analytics initiatives by ensuring high-quality, ML-ready data. Collaboration: Work with product and analytics teams to translate requirements into data solutions. Modeling: Develop, train, and evaluate machine learning models (e.g., decision trees, regression, and classification models). What We're Looking For Education: Master's degree in Data Science, Computer Science, Artificial Intelligence, or a related quantitative field Experience: Developing, deploying, and maintaining machine learning models in production environments Designing, building, and maintaining a data warehouse Data Skills: Strong background in statistical analysis, data preparation, and databases Technical Skills: Proficiency in Python, ML libraries (Scikit-learn, TensorFlow, PyTorch), and SQL Soft Skills: Strong analytical and problem-solving mindset, effective collaboration with technical and non-technical teams, and clear communication of complex concepts. Nice to Have Experience supporting AI or machine learning workflows Experience using Postgres Experience in a small company or high-ownership environment Location: Sacramento, CA (in-office 4 days per week, 1 remote day per week) Compensation: $100,000 - $110,000 depending on related education and experience

Created: 2026-03-04