Data Scientist Intern
Job in
Lakewood, Jefferson County, Colorado, USA
Listed on 2026-09-12
Listing for:
Jobtailor
Full Time, Part Time, Apprenticeship/Internship
position Listed on 2026-09-12
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Science Manager, Data Scientist
Job Description & How to Apply Below
- Support ISP in designing and optimizing business processes and data flows within the Databricks/XDF architecture
- Perform front-end user-facing work and back-end data engineering and analytics development in Databricks
- Contribute to use cases involving model inputs and outputs, future project data management, ETL development for model workflows, application development, rate and cost analysis, and integration with enterprise data platforms outside of ISP
- Support ad hoc analytics and modeling initiatives across the company
- Partner with teams in Resource Planning, Electric Distribution, Transmission, Gas, and other business areas to deliver data-driven solutions
- Deliver analytics projects with guidance from senior team members
- Learn the business domain while building technical expertise
- Communicate findings and recommendations
- Develop data products in Databricks
- Work with Python, SQL, Git, and cloud-based analytics tooling
- Current student, Graduate School
- Enrolled in an accredited college or university and pursuing a degree in Data Science, Computer Science, Statistics, Applied Mathematics, Analytics / Business Analytics, Operations Research, Industrial Engineering, Computer Engineering, Information Systems (MIS/CIS), or similar
- Able to work full-time during the summer (up to 40 hours a week) and part-time during the school year (up to 20 hours a week)
- Able to commute to the designated work location in-person, per the hybrid work policy
- Preferred coursework:
Machine Learning, Statistical Modeling, Data Structures & Algorithms, Database Systems / SQL, Python Programming, Data Engineering, Cloud Computing, Optimization, Time Series Analysis, Operations Research, Predictive Analytics - Experience with Python, PyTorch and Py Spark
Demonstrates expertise in Data Engineering and Analytics Development using Databricks, Python, and SQL, while effectively collaborating with cross-functional teams to deliver data-driven solutions. Proficient in ETL development, model workflows, and analytics project delivery.
Highest-signal resume keywords- Data Engineering
- Analytics Development
- ETL Development
- Python Programming
- SQL
- Data Engineering
- Analytics Development
- ETL Development
- Python Programming
- SQL
- Machine Learning
- Statistical Modeling
- Database Systems
- Cloud Computing
- Predictive Analytics
- Communication
- Collaboration
- Data Science
- Computer Science
- Operations Research
- Industrial Engineering
- Information Systems
- Databricks
- Py Torch
- Py Spark
- Git
- Cloud-Based Analytics Tooling
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