Data Scientist (Data Warehouse Experience)

Sacramento, CA - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

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

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 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 solutions—including 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: $100000 - $110000 depending on related education and 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 ManagementNEXGEN Asset Management is a leading Enterprise Asset Management (EAM) platform that combines a powerful Computerized Ma...