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#We Are Paramount on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got thepowerto achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.
We are looking for a Data Scientist to join our Content Data Science team within the Data & Insight Group. Our team sits at the intersection of data, technology, and entertainment, focused on understanding content performance, audience behavior, and the signals that drive viewership and subscriber growth across Paramount+ and Pluto TV.
In this role, you will work with some of the richest streaming datasets in the industry, spanning billions of content interactions, subscriber journeys, and ad events, to build models that directly inform how we invest in, market, and optimize content for millions of viewers worldwide. You will draw on data sources including video and ads consumption, clickstream activity, subscription history, and 2nd/3rd party data to build user-level causal and predictive models. Key applications include forecasting content viewership, identifying content traits that resonate with our audiences, quantifying the impact of high-value user actions, developing user segmentations for cohort-based targeting, and finding opportunities to improve the user experience.
This is a great opportunity for someone who wants to build ML products that have a real impact on business strategy, content decisions, and the viewer experience at scale. Strong Python and SQL skills, clear communication, and a curiosity to keep learning are what will set you up for success here.
Your Day-to-Day:
- 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 other data scientists / BI analysts on the team to operationalize quantitative solutions that inform strategy and optimize the user experience.
- Promote best practices across the data science and product analytics team.
Key Projects:
- Build and maintain forecasting models that predict content performance ahead of release, helping guide content acquisition and programming decisions across Paramount+ and Pluto TV.
- Build models to identify content traits and audience signals that predict what resonates most with each subscriber segment.
- Build attribution models that quantify how specific titles drive P+ sign-ups and revenue to enable smarter content investment decisions.
- Build models that predict user behavior throughout their subscription journey (e.g., sign-up, churn)
- Build models to identify and measure high-value user actions and drivers of habit formation.
- Create user segmentations that enable meaningful cohort-based targeting and support near- personalized experiences.
Basic Qualifications:
- 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.
- Experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science models.
- Familiarity with well-known statistical and ML models and methods.
- Ability to innovate without over-engineering.
- Communicate concisely and persuasively with a variety of audiences.
- Strong detail orientation with a penchant for data accuracy.
Additional Qualifications:
- Experience with causal inference methodologies.
- Experience applying forecasting models to media, content, or consumer behavior datasets.
- Familiarity with holdout testing, uplift modeling, or other causal experimentation techniques.
- Experience using Google Cloud Platform (Big Query, VertexAI, and APIs).
- Experience with integrating AI solutions into existing business processes.
- Experience using project management tools like those from Atlassian (JIRA, Confluence)
Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.
ADDITIONAL INFORMATION:
Hiring Salary Range: $110,000.00 - 125,000.00.
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
What We Offer:
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Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
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Generous paid time off.
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An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
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Opportunities for both on-site and virtual engagement events.
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Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
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Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
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Paramountについて

Paramount
PublicParamount Skydance Corporation is an American multinational mass media and entertainment conglomerate.
51-200
従業員数
Abu Dhabi
本社所在地
$8B
企業価値
レビュー
3.7
10件のレビュー
ワークライフバランス
3.2
報酬
3.5
企業文化
4.1
キャリア
2.8
経営陣
3.0
65%
友人に勧める
良い点
Supportive and collaborative team environment
Good benefits and compensation
Flexible work arrangements
改善点
Limited growth and career advancement opportunities
Management and organizational issues
Heavy workload and high pressure
給与レンジ
67件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Engineer
2件のレポート
$145,556
年収総額
基本給
$111,966
ストック
-
ボーナス
-
$145,556
$145,556
面接体験
2件の面接
難易度
3.0
/ 5
期間
14-28週間
内定率
100%
面接プロセス
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
よくある質問
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
ニュース&話題
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