Data Scientist

Paramount

Data Scientist at Paramount building ML-powered analyses and products to optimize content and enhance user experience. Leveraging rich datasets for causal and predictive modeling.

Posted 5/8/2026full-timeRemote • New York • 🇺🇸 United StatesJuniorMid-Level💰 $110,400 - $165,600 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Translate complex business questions into clear problem statements, success metrics, and actionable quantitative solutions
Use an iterative approach: start with quick, decision-useful analysis, then refine based on feedback and observed impact
Implement and maintain reliable ML/analytics pipelines, partnering with engineering as needed to productionize and monitor
Deliver clear, impactful insights to stakeholders
Collaborate across the Product organization to operationalize data science solutions that inform strategy and optimize the user experience
Contribute to data science and product analytics best practices through documentation, code reviews, and knowledge sharing

Requirements

What you’ll need

2+ years’ experience in Data Science and ML Engineering
MS or PhD in Statistics, Data Science, Computer Science, or related discipline; or equivalent practical industry experience
A solid foundation in Python and SQL with comfort writing production-quality code in a collaborative environment
Ability to autonomously solve standard business problems
Clear communication with technical and non-technical stakeholders through concise storytelling and visualizations that translate findings into actionable insights
Judgment to balance technical rigor with functional usability and business adoption
A willingness to continuously learn new tools and techniques
Experience with supervised and unsupervised learning methodologies
End-to-end experience across data exploration, transformation, analysis, and model development, with exposure to productionizing and monitoring
Strong data fluency: selecting the right inputs, engineering business-relevant features, and validating that findings are reliable
Familiarity with core statistical/ML methods and model validation fundamentals
Ability to produce clear technical documentation and stakeholder presentations
Strong attention to detail with a penchant for data accuracy

Benefits

Comp & perks

medical
dental
vision
401(k) plan
life insurance coverage
disability benefits
tuition assistance program
PTO

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ScienceMachine LearningPythonSQLStatistical MethodsModel ValidationData ExplorationData TransformationData AnalysisModel Development

Soft Skills

Clear CommunicationStorytellingVisualizationsProblem SolvingAttention to DetailCollaborationKnowledge SharingJudgmentContinuous LearningTechnical Documentation

Certifications

MS in StatisticsMS in Data ScienceMS in Computer SciencePhD in StatisticsPhD in Data SciencePhD in Computer Science