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Open nowPosted 8 hours ago

Senior Machine Learning Scientist, Marketing

Sirius XM41 open roles

Where
Dublin, Ireland
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Your applicationOpen nowSenior Machine Learning Scientist, MarketingSirius XM · Dublin, Ireland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Sirius XM's own form.

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Sirius XM postings stay open a median of 10 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 8 hours ago

Sirius XM median: 10 days open

The posting

Who We Are:

SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connect) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners -- in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are.

This is the place where a diverse group of emerging talent and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically-acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing SiriusXM’s vision to life every day.

SiriusXM is the leading audio entertainment company in North America, and the premier programmer and platform for subscription and digital advertising-supported audio products. SiriusXM’s platforms collectively reach approximately 150 million listeners, the largest digital audio audience across paid and free tiers in North America, and deliver music, sports, talk, news, comedy, entertainment and podcasts. Pandora, a subsidiary of SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization. The Company’s advertising sales organization, which operates as SiriusXM Media, leverages its scale, cross-platform sales organization and ad tech capabilities to deliver results for audio creators and advertisers. SiriusXM, through SiriusXM Canada Holdings, Inc., also offers satellite radio and audio entertainment in Canada. In addition to its audio entertainment businesses, SiriusXM offers connected vehicle services to automakers.

How you’ll make an impact:

At SiriusXM and Pandora, data-driven decision making is central to creating meaningful listener experiences and driving business growth. As a Senior Machine Learning Scientist, Marketing, you will develop advanced machine learning solutions that improve customer acquisition, engagement, retention, and lifecycle marketing effectiveness. Your work will directly influence how marketing investments are optimized, how customers are engaged across channels, and how personalized experiences are delivered at scale.

Working independently on complex machine learning initiatives, you will collaborate with cross-functional partners to develop innovative solutions that improve marketing performance and deliver measurable business impact.

What You'll Do:

  • Design, develop, deploy, and improve machine learning models that support customer acquisition, engagement, retention, targeting, personalization, and marketing optimization initiatives.
  • Apply advanced machine learning techniques, including predictive modeling, classification, optimization, experimentation, deep learning, and reinforcement learning approaches to solve complex marketing challenges.
  • Own machine learning projects from problem definition and data exploration through model development, deployment, evaluation, and ongoing optimization.
  • Evaluate model performance using offline metrics, experimentation frameworks, and business outcomes to ensure solutions deliver measurable value.
  • Partner closely with Product, Marketing, Engineering, Analytics, Finance, and Data teams to identify opportunities and implement machine learning solutions that improve business performance.
  • Develop and enhance data pipelines, feature engineering processes, experimentation frameworks, and measurement methodologies that support scalable machine learning development.
  • Analyze large and complex datasets to identify opportunities for optimization, customer growth, and improved decision making.
  • Stay current with advancements in machine learning, artificial intelligence, experimentation methodologies, and marketing technologies, applying emerging approaches where appropriate.
  • Provide technical guidance and mentorship to junior scientists and contribute to a culture of technical excellence, collaboration, and continuous learning.
  • Support production machine learning systems through monitoring, troubleshooting, performance optimization, and continuous improvement activities.
  • Contribute to technical discussions, solution design efforts, and evaluation of machine learning approaches that support long-term business objectives.
  • This role does not have direct supervisory responsibilities.

What You'll Need

  • Education: M.S. in Computer Science, Machine Learning, Statistics, Economics, Applied Mathematics, Operations Research, or a related quantitative field required; Ph.D. preferred.
  • Experience: 3+ years of production experience developing and deploying machine learning models at scale, including experience supporting customer acquisition, engagement, retention, personalization, experimentation, or marketing optimization initiatives.
  • Technical Expertise: Strong experience with predictive modeling, customer analytics, experimentation, optimization, machine learning algorithms, deep learning techniques, and marketing decision systems.
  • Production ML: Experience developing, deploying, monitoring, and optimizing machine learning systems in production environments.
  • Problem Solving: Demonstrated ability to solve complex technical and business problems using data-driven approaches and scalable machine learning solutions.
  • Communication: Strong written and verbal communication skills with the ability to effectively communicate technical concepts to both technical and business stakeholders.
  • Collaboration: Proven ability to partner effectively across product, marketing, engineering, analytics, finance, and data science organizations to deliver measurable business outcomes.
  • Mindset: Self-motivated, intellectually curious, and driven to solve challenging business problems while continuously developing technical expertise and industry knowledge.

Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws.

The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.

R-2026-05-16

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