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# Data Scientist

- **Company:** AllSTEM Connections
- **Location:** Ontario, CA, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Business Analytics Applications, Computer Programming, Information Engineering, Data Mining, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, Software Engineering, SQL Databases, Tableau (Software), Microsoft Power Automate, Information Technology, Low-code, Powerapps
- **Published:** June 24, 2026
- **Apply:** https://www.dice.com/job-detail/c9497107-73fb-4f86-b923-8797ecc26d6e

## About the Role

Education: Master's Degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, or Data Science (Doctoral degree preferred).
Technical Mastery:
Machine Learning & Stats: Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML).
Programming: Expert-level skills in SQL, Python, and R.
Automation & Apps: Experience with process automation (Power Automate) and low-code app development (Power Apps).
Visualization: Expertise in Power BI or Tableau.
Experience:
3+ years of applied experience in analytical model design, development, and deployment.
5+ years of experience in high-volume consumer environments (e.g., hospitality, retail, or entertainment) is preferred.
Attributes:
Superior conceptual thinking and creative problem-solving skills.
Demonstrated leadership and mentorship ability in an Agile or continuous improvement environment.
Willingness to support a 24/7/365 operation, including peak demand periods (weekends and holidays).

## Description

Advanced Analytical Modeling (45%)
Formulate and deploy complex analytical solutions, including causal and time-series forecasting, econometric modeling, and mathematical optimization.
Conduct rigorous error analysis to iterate on and improve model performance for large-scale predictions.
Data Engineering & Feature Discovery (20%)
Assist in the collection, cleaning, and organization of large structured and unstructured datasets.
Identify causes of variability, test new features, and integrate them into production-level code.
Stakeholder Communication & BI (15%)
Utilize business intelligence tools to create compelling visualizations that translate complex findings into actionable insights for both technical and non-technical executive leadership.
Research & Innovation (10%)
Explore and pilot state-of-the-art analytical tools and emerging technologies that can be leveraged to improve team efficiency and model accuracy.
Technical Leadership & Mentorship (10%)
Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies and continuous improvement.


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