Paramount

Senior Data Scientist

Paramount

full-time

Posted on:

Location Type: Hybrid

Location: New York CityCaliforniaNew YorkUnited States

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Salary

💰 $124,000 - $165,000 per year

Job Level

About the role

  • Translate complex business problems into coherent, actionable quantitative solutions.
  • Implement, automate, and maintain reliable, performant, and end-to-end ML systems using software engineering and MLOps best practices.
  • Deliver clear, impactful insights to stakeholders through effective communication.
  • Collaborate with stakeholders across the Product org to operationalize data science solutions that inform strategy and optimize the user experience.
  • Promote best practices across the data science and product analytics team.

Requirements

  • 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 both supervised and unsupervised learning methodologies.
  • Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products.
  • Familiarity with well-known statistical and ML models and methods.
  • Ability to innovate without over-engineering.
  • Communicate concisely and persuasively with a wide variety of stakeholders.
  • Strong detail orientation with a penchant for data accuracy.
  • Must successfully pass a background check.
  • Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs).
  • Experience with integrating AI solutions into existing business processes.
  • Experience using project management tools like those from Atlassian (JIRA, Confluence).
Benefits
  • medical
  • dental
  • vision
  • 401(k) plan
  • life insurance coverage
  • disability benefits
  • tuition assistance program
  • PTO
  • bonus eligible
Applicant Tracking System Keywords

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

Hard Skills & Tools
data sciencemachine learningsupervised learningunsupervised learningdata collectiondata aggregationdata analysisdata visualizationproductionalizationmonitoring
Soft Skills
effective communicationcollaborationinnovationdetail orientationdata accuracy
Certifications
MS in StatisticsMS in Data ScienceMS in Computer SciencePh.D in StatisticsPh.D in Data SciencePh.D in Computer Science