Data Scientist (Remote)
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.
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.
Skills
As published by lever · 13 questions · 1 written answer
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Other website, What is your age range?, I identify my ethnicity asSelect all that apply, What gender do you identify as?, Professional Organization AffiliationsAre you a member of, or affiliated with, any organizations whose purpose is dedicated to increasing representation of professionals from underrepresented backgrounds in the workplace/industry? (Example: National Association of Black Journalists, Asian American Journalists Association, Association for Women in Sports, etc)
Short answers (2)
- If so, who referred you? optional
- If you answered yes, please clarify. optional
Pick from a list (10)
- Did someone from The Athletic refer you?
- Have you ever been employed by The Athletic, New York Times, or any affiliates in any capacity at any point in time?
- Do you have hands on experience with SQL?
- Please indicate how many years of experience you have with SQL
- Do you have experience with Machine Learning?
- Please indicate how many years of experience you have with Machine Learning
- Are you legally authorized for employment in the United States?
- Do you now or in the future require sponsorship to be employed legally in the United States?
- Are you legally authorized for employment in Canada?
- Do you now or in the future require sponsorship to be legally employed in Canada?
Written answers (1)
- Please provide a brief statement.