Northway Sports Logo

Northway Sports

Data Science Intern

Reposted One Month Ago
Remote
Hiring Remotely in United States
Internship
Remote
Hiring Remotely in United States
Internship
Collect, clean, and analyze sports data; develop machine learning and predictive models; create visualizations and reports; collaborate with data and sports strategy teams; and monitor advances in sports analytics.
The summary above was generated by AI

Northway Sports is a dynamic and data-driven company committed to enhancing the sports industry through innovation and technology. We leverage data analytics to improve player performance, optimize team strategies, and enhance fan engagement.

About the Role

We are looking for a highly motivated Data Science Intern to join our team and help drive data-driven decision-making in the sports industry. This internship will provide hands-on experience in data analysis, machine learning, and predictive modeling, working with real-world sports data.

Key Responsibilities:

  • Collect, clean, and analyze sports-related data from various sources.

  • Develop and implement machine learning models to identify patterns and insights.

  • Assist in building predictive models for player performance, game outcomes, or fan engagement.

  • Create data visualizations and reports to communicate findings to stakeholders.

  • Work with cross-functional teams, including data engineers, analysts, and sports strategists.

  • Stay updated on industry trends and advancements in sports analytics.

Qualifications:

  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

  • Proficiency in programming languages such as Python, R, or SQL.

  • Experience with data visualization tools like Tableau, Power BI, or Matplotlib.

  • Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.

  • Strong analytical and problem-solving skills.

Similar Jobs

3 Days Ago
Remote
United States
5K-9K Annually
Internship
5K-9K Annually
Internship
Biotech
Conduct machine learning and data science research for drug discovery, focusing on mass spectrometry, computational biology, and computational chemistry. Own projects from scientific question through results, develop data-driven solutions, validate AI-generated analyses, and communicate findings through visualizations and writing. Collaborate with the Data Science team and contribute to applications of AI in medicine development.
Top Skills: Claude CodeCursorLc-MsLlmsMachine LearningMass SpectrometryNmrPython
7 Days Ago
Remote
USA
21-26 Hourly
Internship
21-26 Hourly
Internship
Food
Supports data-driven sales and business decisions by collecting, cleaning, and analyzing datasets; applying statistical modeling and machine learning; creating dashboards and visualizations; and communicating actionable insights to cross-functional stakeholders. The intern will work with techniques including regression, classification, clustering, forecasting, and data wrangling while developing technical and professional skills in a remote internship environment.
Top Skills: GgplotMatplotlibPower BIPythonRSQLTableau
Internship
Retail • Analytics
Work full time on a defined data science and analytics project using production robot, retail, and operational data. Responsibilities include SQL and Python analysis, BigQuery and dbt workflows, dimensional modeling, dashboard development, data-quality validation, analytical insights, and collaboration with technical and business stakeholders. Interns present their project and results at the end of the program.
Top Skills: Apache AirflowBigQueryDbtGitGoogle Cloud PlatformJupyterLarge Language Models (Llms)LookerPandasPower BIPythonSQLTableau

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account