C4 Technical Services

Sr. Manager, Commercial Analytics & Data Science -

• Start Date: December 1st or January (manager does not want anyone to start in mid-December due to the holidays)
• Duration: 6 months with the opportunity to extend
• Location: Washington, D.C., New York is preferred so a candidate may come onsite as needed, but remote is an option for the right candidate
• Reason for opening: backfill
• Interview Process: Three rounds of Zoom interviews

We are looking for a hands-on Data Scientist / Machine Learning Engineer with a strong technical background and deep experience in working with large datasets and advanced modeling techniques. This is an individual contributor role within a small team (3–4 people), focused on research, development, and implementation of machine learning algorithms to support various business initiatives.

Key Qualifications

• Strong technical and programming skills; Python and SQL required, R is a plus.
• Experience with advanced machine learning techniques, such as:
  • Causal ML
  • Forecasting
  • LSTM / Neural Networks
  • Transformers / LLaMA / other large language models
  • Not just basic models like propensity scoring
• Solid experience (5+ years) working with large datasets and building production-level models.
• Strong experience with hands-on coding; this is not a strategic or managerial role.
• Comfortable with independent research, staying current on machine learning trends and tools.
• Should be able to evaluate and assemble libraries/codebases into usable solutions for the team.
• Experience migrating platforms (e.g., to Databricks and Salesforce) and improving dashboards and visualizations.
• Familiarity with Metalearners or willingness to research and work with them.
• Must have a degree in a quantitative field: Data Science, Engineering, Statistics, Mathematics, etc.
  • MBAs or Business Analytics degrees are not a fit for this role.
• Client/stakeholder management is not the primary focus.

Interview Tips

• Ask candidates to walk through a machine learning algorithm end-to-end as applied to a real business problem.
  • How did they choose the algorithm?
  • Did they utilize forums, libraries, or research?
  • How did they evaluate its effectiveness (both technically and in business terms)?

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

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 build machine learning models to answer key business questions impacting strategy and marketing spend allocation
• You will perform feature engineering and contribute to our feature store
• You will lead dashboard development and lead development of enhanced visualization tools

What you’ll do:

• Build advanced machine learning models to inform marketing tactics (examples: adaptive clustering, reinforcement learning, regression modeling, price elasticity modeling etc.)
• Execute sophisticated quantitative analyses and descriptive modeling to answer key business questions to shape business strategy.
• Use enhanced python based graphical visualizations to deliver key insights to leadership.
• Research and implement novel modeling techniques to solve complex business problems.
• Develop analytics databases & lead development and maintenance of automated dashboards for AB experiment results.
• Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering or to perform analysis of business questions.
• Measure incrementality of paid media campaigns using matched market testing.

What you’ll need:

• Bachelor’s or Master's degree in data science, computer science, statistics, engineering, or related quantitative field.
• Strong prior experience in data science, business & statistical analytics.
• 7+ years of experience in related field.
• Strong background in SQL & Python, R is a plus.
• Experience in machine learning algorithms & libraries. Examples: CausalML/EconML, TensorFlow, PyTorch, Keras, sk-learn, seaborn, LSTM, RNN.
• Experience with visualization tools.
• Familiarity with Databricks platform 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.

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.