Data Science Intern

Jobtailor; Colorado; Hybrid; USD 25,000 - 36,000; Full time

Job summary

Jobtailor in Colorado is seeking a data-driven intern to handle and analyze large datasets, applying statistical methods, ML techniques, and data visualization to drive business insights. You will collaborate with cross-functional teams to translate findings into actionable strategies and support data-driven decision making while assisting in predictive modeling and data collection automation.

The role requires SQL and Python proficiency, familiarity with visualization tools like Posit or Power

Qualifications

• Currently enrolled in a college or university pursuing a degree in Computer Science, Data Science, Statistics, Math or related analytical field.
• Able to work full-time during the summer (up to 40 hours a week)
• Able to work part-time during the school year (up to 20 hours a week)
• Able to commute to the designated work location in-person per Xcel Energy’s hybrid policy
• Familiar with SQL and Python
• Knowledge of machine learning techniques and algorithms
• Experience with data visualization tools like Posit or Power BI
• Understanding of concepts related to managing and analyzing large datasets
• Ability to translate business goals to technical expertise
• Preferred: Databricks
• Preferred: Application Development skills
• Preferred: Some Python and SQL coding skills

Responsibilities

• Handle and analyze large datasets to uncover valuable insights
• Utilize statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data
• Collaborate with cross-functional teams to translate data findings into actionable business strategies
• Support data-driven decision-making processes
• Assist in developing predictive models
• Assist in automating data collection processes
• Ensure data quality and integrity
• Translate data insights into actionable recommendations for decision-makers
• Collaborate with senior team members and learn from experienced colleagues
• Communicate findings to non-technical stakeholders
• Present findings to business users

Skills

SQL

Python

Machine Learning

Data Visualization

Data Analysis

Predictive Modeling

Data Quality

Education

Pursuing degree in Computer Science, Data Science, Statistics, Math or related analytical concentration

Tools

Posit

Power BI

Databricks

Job description

• Handle and analyze large datasets to uncover valuable insights


• Utilize statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data


• Collaborate with cross-functional teams to translate data findings into actionable business strategies


• Support data-driven decision-making processes


• Assist in developing predictive models


• Assist in automating data collection processes


• Ensure data quality and integrity


• Translate data insights into actionable recommendations for decision-makers


• Collaborate with senior team members and learn from experienced colleagues


• Communicate findings to non-technical stakeholders


• Present findings to business users

Requirements

• Current student, Senior or higher


• Enrolled in an accredited college or university and pursuing a degree in Computer science, data science, statistics, math or a related analytical concentration is required


• Able to work full-time during the summer (up to 40 hours a week)


• Able to work part time during the school year (up to 20 hours a week)


• Able to commute to the designated work location in-person, per Xcel Energy’s hybrid work policy


• Familiar in working with SQL and Python


• Knowledge of machine learning techniques and algorithms


• Experience with data visualization tools like Posit or Power BI


• Understanding of concepts related to managing and analyzing large datasets


• Ability to translate business goals to technical expertise


• Preferred: Databricks


• Preferred: Application Development skills


• Preferred: Some Python and SQL coding skills

Core Competencies

Demonstrates strong analytical capabilities through the use of statistical methods, machine learning algorithms, and data visualization techniques. Proficient in SQL and Python, with the ability to translate complex data insights into actionable business strategies.

Highest-signal resume keywords

• SQL


• Python


• Machine Learning Techniques


• Data Visualization Tools


• Data Analysis

Hard Skills

• Statistical Methods


• Machine Learning Algorithms


• Data Analysis


• Predictive Modeling


• Data Quality Assurance

Soft Skills

• Collaboration


• Communication


• Problem-Solving

Industry Keywords

• Data-Driven Decision-Making


• Data Insights


• Large Datasets


• Business Strategies

Tools & Technologies

• Posit


• Power BI


• Databricks