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:

You will offer recommendations to improve conversion performance by translating analytical insights and A/B experimentation results into optimal business tactics combining key knowledge of business analytics, statistics and marketing.
You will help optimize marketing spend and conversion predictive power by building and enhancing machine learning models

What you'll do:

Research and build predictive, clustering and personalization models to improve marketing efficacy (examples: conversion propensity, personalization of offers, uplift modeling, etc.).
Lead sophisticated quantitative analyses and descriptive statistical modeling to answer key business questions to shape business strategy, define marketing KPIs and understand business trends.
Partner with marketing team to design A/B experiments across digital and offline channels and provide statistical evaluation of results.
Deliver presentations describing experiment & analysis results and summarize recommendations to business partners.
Prepare dashboards providing daily monitoring of test results, where needed.
Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering and test analysis.
Contribute to our python library with enhanced machine learning techniques & automation tasks.
Build strong working relationships with business partners and develop expert knowledge of business area assigned to you.

What you'll need:

Bachelor's or Master's degree in data science, computer science, statistics, operations research, engineering, mathematics, economics, physics, business analytics, or a related quantitative field.
Strong prior experience in business analytics, experimental design and machine learning.
10+ years of experience in data science or related field.
Strong background in SQL & Python, R is a plus.
Experience in machine learning algorithms. Examples: uplift modeling, conversion/churn propensity , reinforcement learning techniques, similarity/look-alike modeling, segmentation/clustering.
Thorough knowledge of Excel & PowerPoint.
Familiarity with Databricks & Teradata platforms is a plus.
Willingness to take initiative and to follow through on projects.
Excellent time management skills, with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment.
Must have legal right to work in the U.S.

At SiriusXM, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the base salary for this position to be in the range of $ 181,136 to $205,000 and will depend on your skills, qualifications, and experience. Additionally, this role might be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply

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-2025-06-33

Sirius XM

New Jobs

Director, Commercial Analytics & Data Science