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Internship Nba Data Science Jobs in Utah (NOW HIRING)

Data Scientist

Lehi, UT ยท On-site

$90 - $130/hr

Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and ... science, analytics, statistical modeling, or a related field, including relevant internships ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

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Internship Nba Data Science information

What is the difference between Internship Nba Data Science vs Data Analyst?

AspectInternship Nba Data ScienceData Analyst
Required CredentialsRelevant coursework, basic programming skillsBachelor's degree in related field, some certifications
Work EnvironmentSports industry, team or organization-specificVarious industries, corporate or agency settings
Employer & Industry UsageNBA teams, sports analytics firmsBusinesses across sectors like finance, marketing, healthcare
Common Search & ComparisonYesNo

Internship Nba Data Science roles focus on applying data analysis within the sports industry, specifically basketball, often involving sports-specific datasets and tools. Data Analysts work across multiple industries, analyzing data to inform business decisions. While both roles require analytical skills, internships are typically entry-level and project-based, whereas Data Analyst positions may require more experience and broader industry knowledge.

What are popular job titles related to Internship Nba Data Science jobs in Utah?

For Internship Nba Data Science jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Internship Nba Data Science jobs?

Cities in Utah with the most Internship Nba Data Science job openings:

Data Scientist

Lehi, UT โ€ข On-site

$90 - $130/hr

Other

Posted 10 days ago


Job description

  • Analyze structured and unstructured datasets to identify trends and answer business questions
  • Develop, test, and refine statistical and analytical models
  • Contribute to analytics capabilities aligned with product roadmaps, customer needs, and business use cases
  • Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and stakeholders on end-to-end analytical solutions
  • Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation
  • Evaluate new data sources and analytical methods
  • Document analytical approaches and communicate findings
  • Support deployment and ongoing improvement of data science solutions
Requirements
  • 2โ€“4 yearsโ€™ experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional experience
  • Working knowledge of Python and SQL
  • Understanding of statistical methods, model evaluation, and analytical problem-solving
  • Experience identifying patterns, testing hypotheses, and communicating actionable findings from datasets
  • Familiarity with database concepts, data warehousing, or data-processing workflows
  • Strong written and verbal communication skills
  • Bachelorโ€™s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience
  • Coursework, academic projects, certifications, or early professional experience involving artificial intelligence, machine learning, or generative AI
  • Experience with pandas, NumPy, scikit-learn, or similar analytical tools
  • Exposure to AI or machine-learning tools, frameworks, APIs, or cloud-based AI services
  • Experience applying AI or machine learning to practical business, product, or customer use cases
  • Exposure to R or other data science and statistical tools
  • Experience with Power BI, Tableau, or MicroStrategy
  • Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows
Core Competencies

Demonstrates expertise in data analysis, statistical modeling, and machine learning, with proficiency in Python and SQL. Capable of collaborating with cross-functional teams to develop and implement data-driven solutions that address business needs.

Highest-signal resume keywords
  • Data Analysis
  • Statistical Modeling
  • Python Programming
  • SQL Proficiency
  • Machine Learning
ATS Optimization Keywords Hard Skills
  • Data Science
  • Statistical Methods
  • Model Evaluation
  • Data Cleaning
  • Data Transformation
  • Pattern Identification
  • Hypothesis Testing
  • Analytical Problem-Solving
  • Data Visualization
  • Cloud-Based AI Services
Soft Skills
  • Strong Communication Skills
Industry Keywords
  • Data Warehousing
  • Data Processing Workflows
  • Distributed Data Processing
  • Business Use Cases
  • Analytics Capabilities
Tools & Technologies
  • Pandas
  • NumPy
  • Scikit-Learn
  • Power BI
  • Tableau
  • MicroStrategy
  • AI Tools
  • Machine Learning Frameworks
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