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Job Summary
The Data Science team within the Enterprise Business Intelligence team builds custom AI/ML solutions that solve the company’s most important business problems. We are looking for a candidate to set the AI/ML vision for outbound marketing communication. The ideal candidate will have experience applying machine learning to marketing problems such as targeting, upsell, 1:1 communication and churn reduction.Job Description
Core Responsibilities:
Identify and manage various data science initiatives that drive business impactÂ
- Lead complex cross-functional data science programs and translate business questions into solvable data science problems, create technical requirements, choose and correctly utilize appropriate methodology and discipline to deliver end-to-end projects.Â
- Build road map to define top AI opportunity with potential to create largest business value at scale, build execution plans, and strengthen our partnerships.Â
- Build models to optimize marketing efforts that utilize online & offline transactions, product usage, structured & unstructured text and media/behavioral/attitudinal data.Â
- Partner closely with all marketing teams to innovate and make critical decisions about where we invest.Â
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Simplify complexity and drive awareness across teams to build team brandÂ
- Synthesize and simplify the natural complexity of AI/ML recommendations so it drives broader business adoption, buy-in and action.Â
- Develop and communicate goals, strategies, tactics, project plans, timelines and key performance metrics to reach goals.Â
Personal leadership and team developmentÂ
- Frequently serve as team lead on multiple projects, mentor and train junior team members.Â
- Grow and expand skillset of team with an eye towards diverse & forward pushing skills that span machine learning methods, data engineering, tooling, data products and analytics.Â
- Educate other departments on data science methodologies, concepts and algorithmic advancements.Â
Professional Experience & Qualifications:
- Experience in the marketing domain defining AI/ML strategies that drive ROIÂ
- Proven ability to articulate questions for technical and non-technical audienceÂ
- Diverse experience with ability to identify most appropriate techniques with a preference for driving business impact over technical amazementÂ
- Deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus on delivering use-cases and solutions at speed and scaleÂ
- Experience conceiving, implementing and continually improving machine learning data science projects and leading diverse data science teams through complex multi-stage projectsÂ
- The technical depth to guide a team of AI/ML experts in model evaluation, tuning and performance, operationalization and scalability of scientific techniques and establishing decision strategiesÂ
- Extensive background in translating technical findings into easy to understand deliverables rooted in use case applications that drive business adoption.Â
- Exceptional verbal and written skills and knack to interact with both technical and business partners by creating effective frameworks to aid discussion of complicated topics. Â
- An active listener, intellectually curious and conscious of voices that have not yet been heard.  Â
- Cross functional team player with a 'can-do' attitude with a lean-forward bias to find opportunities and drive resultsÂ
Employees at all levels are expected to:
- Win as a team - make big things happen by working together and being open to new ideas.
- Respect and promote inclusion & diversity.
- Do what's right for each other, our customers, investors and our communities.
- Understand our Operating Principles; make them the guidelines for how you do your job.
- Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
- Drive results and growth.
Preferred Education Level:
- Master's degree in Computer Science, Engineering, Operations Research or other quantitative field.
Experience:
-8+ years relevant working experience
Disclaimer:
- This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Comcast is an EOE/Veterans/Disabled/LGBT employer.
Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Education
Master's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
10 Years +
