Senior Data Scientist

🕒 May 28

🗽 New York – Remote

🗽 New York – Remote

💵 $124k - $186k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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👻 Ghost score 35%

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Paramount

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1912

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Paramount is a global multimedia entertainment and news company that offers a range of services including direct-to-consumer digital subscription video on-demand and live streaming through Paramount+. It also owns Pluto TV, a leading free streaming television service, MTV, the world’s premier youth entertainment brand, and CBS Sports, a leader in television sports broadcasts. Paramount Pictures, since 1912, has been a legendary producer and distributor of films, hosting a library of over 1,000 titles. The company is deeply committed to inclusion and impact, focusing on diversity, global sustainability, and content that affects change. Being a significant player in both live and on-demand streaming services, Paramount embraces a wide array of content from sports to kids’ entertainment, comedy, and groundbreaking documentaries, impacting both linear and streaming platforms globally.

📋 Description

• 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 assertively with a wide variety of stakeholders • Strong detail orientation with a penchant for data accuracy.

🏖️ Benefits

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

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