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Data Scientist (Data Warehouse Experience)
NEXGEN Asset Management
- United States
- United States
About
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
Were seeking a detail-oriented Data Scientist (Data Warehouse Experience) to design, build, and optimize the core data infrastructure that powers NEXGENs analytics, AI, and enterprise asset management solutions. In this role, youll be responsible for developing and maintaining our data warehouse and pipelines, ensuring accuracy, performance, and scalability across systems. Beyond building the data warehouse, youll actively use it to develop data science solutionsincluding feature engineering, predictive models, and analytical insights that drive product and business decisions. Youll 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 youre passionate about building robust data ecosystems and working on projects that directly influence product innovation, this is the opportunity for you. Youll report to the AI Product Manager and play a key role in shaping NEXGENs data architecture for the future. Responsibilities Data Warehouse Design: Design, build, and maintain the companys 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 Were Looking For
Education: Masters 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 #J-18808-Ljbffr
Languages
- English
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