Data Scientist

Employment type: Full-time

Pay: USD $125,000 - $145,000/year

Work model: Fully remote

About the position

The Data Scientist develops machine learning models that improve a sports media subscription product, support business decisions, and automate workflows. Working with data, product, growth, and engineering teams, you will analyze subscriber behavior, improve content recommendations, and build production data science pipelines.

Core responsibilities

• Design, build, and implement models supporting long-term product goals, including subscription propensity prediction and personalized article recommendations.
• Lead projects through hands-on analysis and modeling, choosing methods and levels of complexity appropriate to each problem.
• Use quantitative analysis to understand users and develop actionable recommendations.
• Design and develop production data science pipelines.
• Guide complex experiments.
• Contribute to a collaborative, high-quality data science environment.

What you will bring

• 2-4 years of experience as a data scientist or data analyst, applying scientific methods to real-world problems using web-scale data.
• Strong working knowledge of Python for training machine learning models and deploying them to production.
• Solid SQL skills, including efficiently reading from and writing to data warehouses.
• Understanding of subscription media and recommendation engines, with the ability to translate that knowledge into insights and improvements.
• Knowledge of statistical principles and their application to predictive modeling.
• Strong verbal and written communication skills and the ability to build cross-functional relationships.
• Ability to explain complex concepts to diverse audiences and communicate compelling findings through data.

Compensation and benefits

Compensation depends on education, experience, skills, and location. U.S. employees may be eligible for an annual bonus and restricted stock, depending on the role.

Benefits for U.S. roles may include:

• Medical, dental, and vision coverage.
• Flexible Spending Accounts.
• 401(k) with company matching.
• Paid vacation, sick days, and parental leave.
• Tuition reimbursement and professional development programs.

Benefits for roles outside the United States will be discussed during the interview process.