Associate Data Scientist

Paramount

Associate Data Scientist role at Paramount supporting ML-powered analyses and business strategies. Collaborating with teams to enhance user experiences across multiple platforms.

Posted 7/8/2026full-timeBurbank • California, New York • 🇺🇸 United StatesJuniorMid-Level💰 $99,000 - $123,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Science and Machine Learning Engineering, with a strong foundation in statistical methods and model validation. Capable of translating complex business questions into actionable insights and maintaining reliable ML/analytics pipelines.

Highest-signal resume keywords

Data ScienceMachine Learning EngineeringStatistical MethodsModel ValidationData Exploration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Supervised LearningUnsupervised LearningData TransformationModel DevelopmentData FluencyFeature EngineeringTechnical DocumentationData Accuracy

Soft Skills

Concise CommunicationInfluential PresentationAttention to Detail

Industry Keywords

ML PipelinesData Science Best PracticesStakeholder InsightsIterative Analysis

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.
Contribute to delivering 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

0-2 years of experience in Data Science and ML Engineering
MS in Statistics, Data Science, Computer Science, or related discipline preferred; or equivalent professional industry experience
Experience with supervised and unsupervised learning methodologies
Experience with data exploration, transformation, 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
Concise and influential communication skills for a wide variety of stakeholders
Ability to produce clear technical documentation and stakeholder presentations
Strong attention to detail with a penchant for data accuracy
Must successfully pass a background check

Benefits

Comp & perks

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