Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Paramount

Senior Data Scientist

Paramount

. Build ML products that shape business strategy, optimize content, inform marketing investment decisions, and enhance user experience .

Posted 9/17/2026full-timeRemote • California • United StatesSenior💰 $124,000 - $186,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining end-to-end machine learning systems while translating complex business problems into actionable insights. Proficient in leveraging data to optimize user experiences and inform strategic decisions across various stakeholders.

Highest-signal resume keywords
Machine Learning EngineeringData ScienceGoogle Cloud PlatformStatistical ModelsSupervised and Unsupervised Learning

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningPredictive ModelingData AnalysisData VisualizationStatistical AnalysisCausal ModelingSession-Level PredictionsUser SegmentationContent Viewership PredictionDiagnostic Analysis
Soft Skills
Concise CommunicationDetail OrientationPersuasive CommunicationCollaborationInnovation
Tools & Technologies
Google Cloud PlatformBigQueryML EngineAPIsAtlassian JIRAAtlassian Confluence
Certifications & Qualifications
MS in StatisticsPh.D in Data SciencePh.D in Computer Science
Industry Keywords
MLOpsData Science SolutionsUser Behavior PredictionSubscription JourneyCohort-Based Targeting

Tech Stack

Tools & technologies
BigQueryCloudGoogle Cloud Platform

About the role

Key responsibilities & impact
  • Build ML products that shape business strategy, optimize content, inform marketing investment decisions, and enhance user experience
  • Leverage video and ads consumption, clickstream activity, subscription history, and 2nd/3rd party data to build user- and session-level causal and predictive models
  • Translate complex business problems into actionable quantitative solutions
  • Implement, automate, and maintain reliable, performant end-to-end ML systems using software engineering and MLOps best practices
  • Deliver clear, impactful insights to stakeholders
  • Collaborate with Product stakeholders to operationalize data science solutions
  • Promote best practices across the data science and product analytics team
  • Build global models predicting user behavior throughout the subscription journey
  • Identify and measure high-value user actions and drivers of habit formation
  • Develop session-level predictions to uncover user intent
  • Predict content viewership and identify content traits that resonate with subscribers
  • Create user segmentations for cohort-based targeting and near-personalized experiences
  • Perform diagnostic analyses, including evaluation of failed searches, to identify product improvement opportunities

Requirements

What you’ll need
  • 2+ years experience in Data Science and ML Engineering
  • MS or Ph.D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine learning techniques
  • Experience with supervised and unsupervised learning methodologies
  • Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products
  • Familiarity with statistical and ML models and methods
  • Ability to innovate without over-engineering
  • Concise and persuasive communication with a wide variety of stakeholders
  • Strong detail orientation and focus on data accuracy
  • Experience using Google Cloud Platform, including BigQuery, ML Engine, and APIs
  • Experience integrating AI solutions into existing business processes
  • Experience using Atlassian project management tools such as JIRA and Confluence

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan
  • Life insurance coverage
  • Disability benefits
  • Tuition assistance program
  • PTO / generous paid time off
  • Bonus eligibility
  • Attractive compensation and comprehensive benefits packages
  • Opportunities for on-site and virtual engagement events
  • Opportunities to build meaningful connections and a vibrant community