American Football Data Analyst Intern

il y a 2 jours

Paris, Île-de-France SkillCorner Temps plein

NOTE: Consultancy can be considered for this role

SkillCorner collects sports data 100% automatically from a single camera feed. The company, now a global leader in its field of expertise, develops Computer Vision and Machine Learning algorithms that can detect all the moving objects (each player, the ball and the referee) in the image, locate them on the pitch, track them frame by frame, and recognize them. From this raw tracking data, SkillCorner produces Performance indicators, Game Intelligence metrics, and Visualizations that are used by clubs, national federations, and player agencies.

SkillCorner covers more than 150 competitions (both Women's and Men's), holds over 100 billion data points on more than professional players. Trusted by more than 250 football, basketball and American Football teams worldwide, redefining their performance analysis, scouting, and recruitment workflows.

SkillCorner is hiring an intern to support its rapidly expanding American Football (AF) operations. In this role, you will work within the analysis and research team to develop insights and sales content to drive adoption of SkillCorner AF data

Core Responsibilities

  • Develop recruitment case studies using proprietary data
  • Analyze the stability of performance metrics across NCAA and NFL data, including validating proprietary tracking data against external sources like NFL Next Gen Stats (NGS).
  • Lead the development of new aggregate performance metrics and their validation
  • Conduct a thorough reviews of the current data quality and areas of improvement

HOW TO APPLY: If you're interested in this position, please fill in this form. Only applicants that have responded to the form will be considered. Due to the high volume of interest, we can only provide personalized responses to candidates selected for an interview. Thank you for your understanding.

ONLY FORM APPLICATIONS WILL BE REVIEWED

Qualifications

  • Undergraduate or graduate degree in data science, computer science, engineering, or a related field.
  • Strong knowledge of AF analytics, including key metrics, trends, and performance evaluation techniques.
  • Proficiency in Python, SQL, and Cloud Tools
  • Experience working in ambiguous environments with minimal supervision
  • Excellent analytical mindset, problem-solving skills, and ability to work collaboratively in teams.

What Will Make You Stand Out

  • A unique combination of AF expertise and data analysis skills
  • Demonstrated proactive ability to generate insights from AF data

  • Comfort working remotely while maintaining high productivity and effective communication.

  • FORM and CV Screening

  • Intro Chat
  • At-home Case Study

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