Level

The Athletic

Data Scientist (Remote)

The Athletic is hiring a Data Scientist (Remote) for a remote role open to applicants in United States. Level rates it ; you can apply on Level.

AI in this role

Develop advanced machine learning models and data-driven recommendations to optimize sports media content and subscriber workflows.

machine-learningpythondata-sciencerecommendation-systemspredictive-modeling
About Us   Powered by one of the largest global newsrooms in sports media, The Athletic brings sports fans the most comprehensive stories about the teams, sports and athletes they love. The Athletic’s newsroom of 500+ full-time staff delivers in-depth coverage of hundreds of professional and college teams across more than 47 North American markets and all 20 football clubs in the English Premier League, as well as many Championship clubs.

About the Role

We are looking for a data scientist who will bring a deep understanding of our sportswriting, our in-game experience, and the way our subscribers use The Athletic to help us make our best-in-class product even better. In this role, you will work closely with our data, product, growth, and engineering teams to develop advanced machine learning models. These models will help us understand our business, optimize and automate our workflows, and have our product make smarter recommendations. As a member of our data science team, your work will have a significant impact at The Athletic.

This role is 100% remote for candidates currently based in the United States or Canada. 

How we rate this

Data Scientist (Remote) at The Athletic rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Machine learningPythonData ScienceRecommendation SystemsPredictive Modeling

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where python was part of your work. What did you do?
  3. Tell me about a project where data science was part of your work. What did you do?
  4. Tell me about a project where recommendation systems was part of your work. What did you do?
  5. Tell me about a project where predictive modeling was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Machine learning, Python, Data Science, Recommendation Systems, and Predictive Modeling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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