Other Open Roles
Prior Listings
- Data Scientist - Acquisition
- Product Analyst - Sports Betting
- Data Analyst - Data Integrity / Analytical Engineering
- Senior Data Analyst - Marketing and Partnerships
- Data Engineer
- Data Engineer
- Senior Product Analyst - Lifecycle
- Growth Analyst
- Pricing and Monetization Analyst
- Senior Product Analyst
- Senior Product Analyst - Core Product
- Business Operations Analyst
- Manager, Growth Analytics
- Senior Data Analyst - Business Operations & Strategy
- Manager, Product and Growth Analytics
- Director, Data Engineering
- Senior Data Analyst, Retention & Revenue
- Data Analyst, Audience
- Data Scientist, Growth
- Data Analyst - Marketing Analytics
Data Scientist - Acquisition
Data Scientist - Acquisition
This job is no longer open
About Us
The Athletic is a direct-to-consumer digital sports media company committed to helping subscribers experience storytelling in a whole new way. Founded in 2016 and headquartered in San Francisco, The Athletic has over 500 full-time employees and covers more than 250 professional sports and collegiate teams in the US, Canada and the UK. The Athletic’s newsroom has produced thousands of in-depth articles along with more than 120 podcasts and premium video content. The Athletic is a remote-friendly company as we have offices in San Francisco, Los Angeles, London, and Melbourne.
About the Role
We are looking for a data scientist who will bring a deep understanding of channel growth, user segmentation, paid marketing optimization, and LTV predictions to help us accelerate the growth of our subscription business and make our best-in-class product even better. In this role, you will work closely with our data, product, marketing, and engineering teams to build, implement, and interpret advanced models that help us understand our business, optimize and automate our workflows, and help our product make smarter, more informed recommendations. You will be an early member of the data science team, and your work will have a significant impact on our business strategy.
Responsibilities
- Build, design, and implement user behavior models to drive key long-term business goals including subscriber retention and offer revenue.
- Train machine learning and data mining algorithms to solve problems across several teams.
- 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 marketing and user data are saying and develop recommendations based on that analysis.
- Design and develop data science pipelines.
- Guide complex experiments.
- Cultivate an outstanding analytics environment.
- Evangelize and expand the impact of data science.
Requirements
- 2-3 years of experience as a data scientist with a proven ability to apply scientific methods to solve real-world problems on web scale data.
- Strong working knowledge of a scripting language like R or Python.
- Fluency in SQL.
- Knowledge of statistical principles and how they apply to predictive modeling.
- Ability to drive projects with minimal guidance and prioritize high-impact work.
- Strong verbal and written communication skills with ability to build cross-functional relationships.
- Can explain sophisticated concepts to diverse audiences and craft compelling stories.
- Familiarity with the AWS ecosystem is nice to have.
- Experience with natural language processing or network analysis is nice to have.
The Company is backed by Founders Fund, Evolution Media, Courtside Ventures, Comcast Ventures, Bedrock Capital, Advancit Capital, Y Combinator, and other leading investors. The Athletic is headquartered in San Francisco, California. The Athletic was awarded a 2020 Great Place to Work.
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.
This job is no longer open