Data Scientist (Remote)

The Athletic; United States; À distance; USD 125 000 - 145 000; Plein temps

Résumé du poste

The Athletic is seeking a data scientist to blend sports insight with advanced analytics. You will collaborate with data, product, growth, and engineering to build and deploy machine learning models that understand subscriber behavior, optimize workflows, and improve recommendations.

The role is 100% remote for US/Canada-based candidates. Ideal candidates have 2-4 years of experience in data science or analytics, strong Python and SQL skills, and the ability to communicate complex results to

Qualifications

• 2-4 years of experience as a data scientist or data analyst.
• Strong working knowledge of Python to train models and put them into production.
• Solid understanding of SQL and data warehouses.
• Knowledge of subscription media and recommendation engines, with the ability to generate insights.
• Knowledge of statistical principles as they apply to predictive modeling.
• Strong verbal and written communication with cross-functional collaboration.
• Ability to explain complex concepts to diverse audiences and tell data-driven stories.

Responsabilités

• Design, build, and implement mathematical models to drive long-term product goals.
• Lead projects with hands-on analysis and modeling, choosing appropriate methods.
• Use quantitative analysis to understand user signals and derive recommendations.
• Design and develop data science pipelines in production.
• Guide complex experiments.
• Foster an outstanding data science environment.

Connaissances

Python

SQL

Data analysis

Communication

Description du poste

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 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.

Responsibilities

• Design, build, and implement mathematical models to drive key long-term product goals, like training a model that predicts which of our free users are most likely to subscribe, or recommending the right articles to the right users at the right time
• Lead projects with hands‑on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the job
• Use quantitative analysis to deeply understand what our users are saying, and to develop recommendations based on that analysis
• Design and develop data science pipelines in production
• Guide complex experiments
• Cultivate an outstanding data science environment

Requirements

• 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
• A strong working knowledge of Python and how to use it to train machine learning models and put them into production
• A solid understanding of SQL with an ability to efficiently pull and write to our data warehouses
• An 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
• Can explain sophisticated concepts to diverse audiences and craft compelling stories with data

The annual base salary range for this role is $125,000.00 - $145,000.00 USD. The total compensation offered for this position may vary based on factors such as education, experience, skills, and location. It may also include non-cash rewards and benefits. The base salary range is subject to change and may be modified in the future.

For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company‑matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

For roles outside of the U.S., information on benefits will be provided during the interview process.

We are excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.

If you are a candidate for a technical role, we will let you know what specific tools you are permitted to use for your technical assessment.

The Athletic Media Company is an equal opportunity employer and enthusiastically encourages people from all backgrounds and experiences to apply. The Athletic will consider all applicants without regard to race, religion, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other protected characteristic under applicable law.