Sirius XM Radio Inc. Senior Manager, Data Science & Advanced Analytics in New York, New York
Senior Manager, Data Science & Advanced Analytics
Type of Position
Location: New York, NY
We are looking for a data scientist to join our Analytics, Research & Insights team in the Marketing group. For this full-time Senior Manager, Data Science & Advanced Analytics position, we seek a person with strong programming, data management and statistical skills. In this role, you will build advanced analytic models and recommendations to enable our marketing partners to deliver customer centric products and offers to our valued subscribers.
Duties and Responsibilities:
Partner with marketing teams to ensure that all test populations are unbiased and being setup with proper statistical rigor.
Design tests and provide statistical evaluation of results.
Develop and implement predictive models.
Ensure that modeling data is being reviewed regularly and updated as deemed appropriate.
Review model build parameters within Pega tool. Ensure that dates are formatted as date fields, categorical data is recoded to be ordinal where applicable, etc.
Monitor model performance via the Pega Model Dashboard.
Consult with marketing partners in order to define and build appropriate predictive assets.
Bachelor's or Master's degree in computer science, statistics, operations research, engineering, mathematics, economics, physics, or a related quantitative field, or equivalent, relevant experience.
7+ years of experience working with massive datasets for analytics and advanced analytics, experience with big data technology (Hadoop, Hive, PIG, Hortonworks, Cloudera).
Expert knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning, understanding of underlying algorithms, ability to tune and analyze algorithms and extract actionable insights. These methods include (but not limited to) regression analysis, clustering, outlier detection, novelty detection, decision trees, collaborative filtering, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks and deep learning, feature selection, and factorization methods.
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 in database design preferred.
Experience with Pega is preferred.
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.
Creative writing ability.
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.
Thorough knowledge of MS-Office Suite (Word, Excel, PowerPoint, Access).
Exceptional programming skills in R.
Programing experience in Python and work with Spark MLlib preferred.
Strong knowledge of databases and related languages/tools such as Teradata SQL.
As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.
The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.
Company EEO Statement
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.