Enterprise Resource Technologies · 8 hours ago
Data Scientist
United States
Part-time
Remote
Mid Level
$25/hr - $35/hrEnterprise Resource Technologies is a remote-first organization operating in the Technology & Data Analytics sector, building AI-driven analytics and production ML systems for enterprise customers. They are seeking a Data Scientist to design, develop, and validate ML models, build end-to-end pipelines, and ensure model reliability in production.
ConsultingInformation TechnologySoftware
Responsibilities
Design, develop, and validate ML models (classification, regression, ranking, NLP) to solve core business problems and improve product metrics
Build reproducible end-to-end pipelines for feature engineering, training, evaluation, and model validation using production data
Productionize models: containerize, expose model APIs, and collaborate with engineering to deploy via CI/CD and monitoring frameworks
Implement experiment tracking, model versioning, performance monitoring, and drift detection to ensure model reliability in production
Translate product and business requirements into measurable ML solutions; design experiments and A/B tests to validate impact
Document solutions and promote best practices for reproducibility, code quality, and model governance; mentor junior data scientists
Qualification
Required
Python
SQL
Pandas
scikit-learn
TensorFlow
Docker
Bachelor's or Master's in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience
Proven track record of delivering production ML models and data-driven features in a software environment
Strong foundation in statistics, experimental design, and model evaluation metrics
Experience collaborating cross-functionally with product, engineering, and business stakeholders
Preferred
PyTorch
Apache Airflow
MLflow
Benefits
Fully remote US-based team with flexible work hours and asynchronous collaboration.
Competitive compensation, professional development support, and opportunities to own end-to-end ML solutions.
Inclusive, impact-driven culture that values engineering excellence, data-driven decisions, and continuous learning.
Company
Enterprise Resource Technologies
We empower Small and Mid-size manufacturing organization with new technologies for a sustainable, competitive future.
Founded in 2001
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Haynel Rose
President & CEO
Recent News
2023-06-08
Company data provided by crunchbase