Data Scientist

The Athletic

. Develop advanced machine learning models to understand the business, optimize and automate workflows, and improve product recommendations .

Posted 10/6/2026full-timeRemote • United States, CanadaJuniorMid-Level💰 $125,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing machine learning models and data science pipelines, with strong proficiency in Python and SQL for data analysis and production. Capable of translating complex data insights into actionable recommendations while fostering collaboration across teams.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingSQL Data ManagementPredictive ModelingData Science Pipeline Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalysisPredictive ModelingStatistical PrinciplesData Warehousing

Soft Skills

Verbal CommunicationWritten CommunicationCross-Functional Collaboration

Industry Keywords

Subscription MediaRecommendation EnginesQuantitative AnalysisData Science Environment

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop advanced machine learning models to understand the business, optimize and automate workflows, and improve product recommendations
Design, build, and implement mathematical models for long-term product goals, such as predicting free-user subscriptions and recommending articles
Lead projects with hands-on analysis and modeling, selecting appropriate analytical methods and complexity
Use quantitative analysis to understand user feedback and develop recommendations
Design and develop data science pipelines in production
Guide complex experiments
Cultivate an outstanding data science environment
Collaborate closely with data, product, growth, and engineering teams

Requirements

What you’ll need

2-4 years of experience as a data scientist or data analyst with a proven ability to apply scientific methods to solve real-world problems on web scale data
Strong working knowledge of Python and how to use it to train machine learning models and put them into production
Solid understanding of SQL with an ability to efficiently pull and write to data warehouses
Understanding of subscription media and recommendation engines, with the ability to turn it into insights and optimizations
Knowledge of statistical principles and how they apply to predictive modeling
Strong verbal and written communication skills with ability to build cross-functional relationships
Ability to explain sophisticated concepts to diverse audiences and craft compelling stories with data

Benefits

Comp & perks

Variable pay, such as an annual bonus
Restricted stock
Medical benefits
Dental benefits
Vision benefits
Flexible Spending Accounts (F.S.A.s)
Company-matching 401(k) plan
Paid vacation
Paid sick days
Paid parental leave
Tuition reimbursement
Professional development programs