Remote Data Scientist — Personalization and Growth

The Athletic Media Company; United States; Remote; USD 125,000 - 145,000; Full time

Benefits offered by this job

Medical, dental and vision

401(k) matching

Paid vacation and sick days

Tuition reimbursement

Professional development programs

Job summary

The Athletic Media Company is seeking a data scientist to help advance its sports product with advanced machine learning models. You will collaborate with data, product, growth, and engineering teams to build models that predict subscriptions, recommend articles, and improve in-game experiences.

Role is 100% remote for candidates based in the United States or Canada. Responsibilities include designing models, leading projects, developing data pipelines, and guiding experiments to create a

Qualifications

• 2-4 years of experience as a data scientist or data analyst.
• Proficient in Python for training models and production use.
• Strong SQL skills for querying data warehouses.
• Experience with subscription media and recommendation engines.
• Knowledge of statistical principles for predictive modeling.
• Excellent verbal and written communication.
• Ability to explain complex concepts to diverse audiences.

Responsibilities

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

Skills

Data analysis

Statistical modeling

Communication

Storytelling with data

Tools

Python

SQL

Job description

The Athletic Media Company is seeking a data scientist to help advance its sports product with advanced machine learning models. You will collaborate with data, product, growth, and engineering teams to build models that predict subscriptions, recommend articles, and improve in-game experiences.

Role is 100% remote for candidates based in the United States or Canada. Responsibilities include designing models, leading projects, developing data pipelines, and guiding experiments to create a