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Sr. Director, Data Science
Entertainment & Media Industry Company
New York, NY, United States
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Position Summary:
The Sr. Director, Data Science will oversee the development of data-driven capabilities throughout the Business Intelligence community at SiriusXM. This individual will be responsible for designing a robust data architecture, selecting a technology suite, and building a team of data scientists who will provide analytics and data science that support a variety of immediate and future-thinking business needs.
The Sr. Director. Data Science resource is expected to have expert level experience with data architecture, big data technologies, data science best practices, and algorithm design, complimented by a strong business acumen that allows them to transition seamlessly between technical teams and business stakeholders.
Duties and Responsibilities:
• Design a robust data architecture that integrates multiple disparate data feeds from a variety of sources with a focus on creating a holistic data store within an environment that supports accessible data mining, data analysis, and data science.
• Identify an adaptable, scalable big-data technology stack capable of accommodating multiple data feeds with requisite pre-processing, supporting necessary processing requirements for downstream consumption by various platforms, and fulfilling the analytics needs for a variety of data-driven initiatives.
• Collaborate with internal stakeholders across different divisions of SiriusXM to ensure that the data-driven strategy is designed with multiple business units' current and future intelligence and data needs in mind.
• Understand any existing data and technology resources and develop a strategic plan to close any gaps that are identified.
• Serve as Subject Matter and Domain Expert when translating business expectations and analytics needs into data and technology requirements and strategic analytics-based project plans.
• Provide leadership on data-driven endeavors that support the needs and objectives of the business in a variety of domains by promoting best practices that combine business analysis and rigorous supporting analytics.
• Manage expectations on work effort requirements and deliverable timeframes as dictated by technology and data related complexities.
• Continuously research cutting edge developments in data science, machine learning, and mathematical algorithmic design to creatively utilize new advances in big data for the purpose of extracting intelligence from SiriusXM's data.
• Champion data science methods when collaborating with the Strategic Analytics, Subscriber Analytics, and Marketing Analytics teams to harmonize data-supported intelligence efforts throughout different divisions of SiriusXM.
• Create a Data Science Center of Excellence to support SiriusXM's future data-driven initiatives within an ever-changing landscape of data driven capabilities, resources, and interests.
Supervisory Responsibilities:
• 1 Senior Data Scientist
• 3-5 Citizen Data Scientists
• 1 ETL Expert
• Other technology personnel as dictated by the program
Minimum Qualifications:
• Graduate degree in a STEM field required .
• 7-10 years of experience as a data scientist working with many different types of data.
• 5-7 years of business analysis experience.
• 5-7 years working with technology supporting large volumes of data processing in production environments.
• Experience building data architectures that support reporting, analysis, and processing needs.
• Experience as subject matter expert in multiple domains.
• Experience with system design, engineering, and architecture.
Requirements and General Skills:
• Good 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 a professional image over the phone and in person
• Commitment to "internal client" and customer service principles
• Ability to handle multiple tasks in a fast paced environment
• Willingness to take initiative and to follow through on projects
• Spelling, grammar, proofreading and editing skills
• Strong organizational skills and attention to details
• 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.
Technical Skills:
• Experience with data in a variety of formats (parquet, json, .wav files, relational, non-structured, etc.) and types (web and application traffic data, domain-specific metadata, customer data, transactional data, product data, etc.).
• R, MatLab, C, Python, Perl, Scala or similar object-oriented programming languages.
• SQL, SSIS, Drill, SAS or other querying and ETL tools.
• Experience with big-data storage and processing tools like AWS, Oracle ExaDatabases, Hadoop, Drill, Spark.
• Visualization tools such as Tableau, Qlik, Adobe Analytics.
• ·Thorough knowledge of MS-Office Suite (Word, Excel, PowerPoint, Access).
Equal Opportunity/Affirmative Action Employer - Minorities/Females/Protected Veterans/Disabled.
The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.