Live opening · Posted 1 day ago

Data Scientist (Remote)

RecruiterForge · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyRecruiterForge
LocationUnited States (Remote)
Salary$125K/yr - $145K/yr
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

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.

Work arrangement
Yes

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