Data Scientist (Remote)

RecruiterForge; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

RecruiterForge seeks a Data Scientist to develop machine learning models that enhance a sports media subscription product, support business decisions, and automate workflows.

You will collaborate with data, product, growth, and engineering teams to analyze subscriber behavior, improve content recommendations, and build production data science pipelines.

Qualifications

• 2-4 years of experience as a data scientist or data analyst.
• Strong analytical thinking and ability to derive actionable insights.
• Experience communicating findings to cross-functional teams.
• Experience building data-driven recommendations and dashboards.
• Knowledge of production ML pipelines and model deployment.

Responsibilities

• Design, build, and implement models for subscription propensity and personalized recommendations.
• Lead projects through hands-on analysis and modeling, choosing appropriate methods.
• Use quantitative analysis to understand users and develop recommendations.
• Design and develop production data science pipelines.
• Contribute to a collaborative data science environment.

Skills

Data storytelling

Communication

Problem solving

Tools

Python

SQL

Job description

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.
• 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.