Manager, Data Science (Testing and Data Visualization) (R-2021-11-78)
New York, NY  / Washington, DC 
Posted 1 day ago
Job Description

SiriusXM and Pandora have joined together to create the leading audio entertainment company in the U.S. Together, we are uniquely positioned to lead a new era of audio entertainment by delivering the most compelling subscription and ad-supported audio experiences to millions of listeners -- in the car, at home and on the go. Our talent, content, technology and innovation continue to be at the forefront, and we want you to be a part of it! Check out our current openings below and at.

Position Summary:

We are looking for a data scientist to join our Analytics, Research & Insights team in the Marketing group. For this full-time Manager, Data Science position, we seek a person with strong programming, data engineering and statistical skills.

Our goal is to empower our marketing partners to acquire, retain, and increase engagement of our subscribers. In this role, you will work closely with the data science team to build predictive models, create centralized machine learning tools for the data science team, and make recommendations that support these objectives. You will also work closely with our business and IT stakeholders to support Pega (a centralized CRM platform) initiatives, including feature engineering, test design and execution, and modeling.

Duties and Responsibilities:

  • Partner with marketing teams to design tests and provide statistical evaluation of results.
  • Prepare and present findings and recommendations to senior management.
  • Ensure that all test populations are unbiased and being setup with proper statistical rigor. Validate that tests are being executed to test design specifications.
  • Develop and implement predictive models to support Marketing business partners.
  • Provide data science support for Pega platform expansion, including champion challenger testing, improving Next Best Action models in the Pega system, and identifying opportunities to improve strategies.
  • Ensure that modeling data is being reviewed regularly and updated as deemed appropriate.
  • Build strong working relationships and develop deep partnerships with Marketing lines of business, customer channel operations, and enterprise data teams.
  • Contribute to Data Science and Advanced Analytics team's internal data science Python package, and modeling automation initiatives.
  • Drive technical innovation through active research and application of new theories, techniques, and technologies.

Supervisory Responsibilities:

  • None

Minimum Qualifications:

  • Bachelor's degree with 2+ years analyzing and providing insights using data; or Master's degree with quantitative rigor (applications in statistics, mathematics and computer programing).
  • Prior experience designing tests and analyzing results, such as for marketing, product, or strategies
  • Prior experience create compelling data visualizations using tools such as R, Python and Tableau. Experience creating interactive visuals/dashboards/applications for business clients is a plus
  • Prior experience building machine learning and statistical models for supervised and unsupervised learning, understanding of underlying algorithms, ability to tune and analyze algorithms and extract actionable insights
  • Ability to work with raw data, including big data, knowledge of preprocessing procedures and ability to prepare data for modeling; experience in feature engineering.
  • Extensive experience wrangling / cleaning data.
  • Experience or background with the Pega platform is a plus
  • Experience with cloud platforms (AWS, GCP, etc.) is a plus

Requirements and General Skills:

  • Strong public speaking and presentation skills.
  • Interpersonal skills and ability to interact and work with staff at all levels.
  • Excellent written and verbal communication skills.
  • Ability to work independently and in a team environment.
  • Ability to pay attention to details and be organized.
  • Ability to project professionalism over the phone and in person.
  • Commitment to "internal client" and customer service principles.
  • Willingness to take initiative and to follow through on projects.
  • Spelling, grammar, proofreading and editing skills.
  • 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.

Technical Skills:

  • Proficient programming skills in Python and/or R
  • Proficient with common Python data analysis packages (numpy, pandas, matplotlib, seaborn, etc.)
  • Proficient with common Python machine learning packages/API's (scikit-learn, XGBoost, etc.). Knowledge of deep learning packages (keras, tensorflow, etc.) a plus
  • Proficient with SQL and background knowledge of databases
  • Thorough knowledge of MS-Office Suite (Word, Excel, PowerPoint, Access).

More details about our company benefits can be found!

Our goal at SiriusXM+Pandora is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM+Pandora 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.

Pandora is committed to diversity in its workforce. Pandora is an equal employment opportunity employer and considers qualified applicants without regard to gender, sexual orientation, gender identity, ethnicity, race, veteran or disability status. Women and people of color are encouraged to apply.
Pandora is also a VEVRAA federal contractor. Pandora requests priority referrals of protected veterans from each ESDS, as required by regulation.
If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to This email box is designed to assist job seekers who require a reasonable accommodation to the application process. A response to your request may take up to two business days.
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Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Bachelor's Degree
Required Experience
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