Data Scientist II
3 weeks ago
Job Summary
As a member of the Syndication Insights Comcast Technology Solutions team, you are instrumental in making sure Comcast’s portfolio of syndicated products are deployed and performing for our customers as optimally as possible. In this role you will be working with cutting edge video and connectivity technologies while interfacing with global telecommunications providers. Are you passionate about digital media, entertainment, connectivity, and cloud services? Do you like big challenges and working within a highly motivated team environment? On the CTS MVPD team, we take Comcast’s amazing products and services in Video, IPTV, smart home, broadband and networking, and white label them for the operator community. Our partners own the customer relationship while we own and operate the product experience. We are looking for a customer experience-oriented individual to join a team focused on ensuring operational excellence across our product portfolio for Syndication Partners and Internal Stakeholders. We thrive on big challenges, results, quality, and agility.Job Description
Who you will be working with?
The Syndication Insights team works with our Data eXperience, Engineering, Quality and Reliability teams focused on cutting edge Entertainment and Connectivity products within unique customer environments. Additionally, you’ll help leverage best practices across the Syndication Partners and Operator community.
Where can you make an impact?
You will be working with the best and brightest minds in Comcast to roll out services that will power the next generation of television, broadband, and home automation. Success in this role is characterized by ongoing team development, staying ahead of customer needs, and providing robust and creative solutions to support successful operation of our technology within our customer environments.
What are some interesting things you will be doing?
In this role, the successful candidate will closely collaborate with Syndication partners, business owners, program management, product, and engineering teams in order to drive the design and development of Syndication Insights data analytics products and solutions to meet the analytics, reporting and machine learning needs of our internal stakeholders and external global partners.
This role serves as the team’s principal lead for global dashboard alignment initiatives, ensuring a consistent and valuable experience for all syndication partners.
- Onboarding and Training: Deploy new partner data, metrics, and reporting views into the MVPD Insights Portal. Conduct user demonstrations to showcase the portal's capabilities and benefits.
- Data Quality and Standards: Oversee the entire data pipeline, from source to visualization, ensuring adherence to best practices and standards for data quality, ETL processes, aggregation, and presentation of KPIs.
- Performance and User Experience: Drive the delivery of key engagement and reliability metrics that provide valuable insights to partners about their customers' experiences and product performance.
- Dashboard Consistency: Maintain a unified user experience across all partner dashboards, including standardized filter controls and measure selections.
- Stakeholder Communication: Provide regular updates to stakeholders on the status of partner onboarding, new feature releases, and data quality audits.
Core Responsibilities
- Create user stories to capture and communicate the needs and requirements of internal stakeholders and global operators.
- Track the delivery of sprint commitments to ensure that projects are completed on time and within scope.
- Use analytical rigor and statistical methods to analyze large amounts of data.
- Extract actionable insights using advanced statistical techniques, including data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models).
- Develop and execute statistical and mathematical solutions to business problems to support larger initiatives under the direction of senior team members.
- Produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data.
- Develop and deploy predictive models based on historical data that provide future predictions about customer behavior.
- Construct forecasts, recommendations, and strategic/tactical plans based on applying data science techniques to business data.
- Build customer-centric models and optimization tools to support large-scale projects that utilize online & offline data, structured & unstructured data, set-top box data, and media/behavioral/attitudinal data.
Who you will be working with?
The Syndication Insights team works with Data eXperience, Engineering, Quality, and Reliability teams focused on cutting-edge Entertainment and Connectivity products within unique customer environments.
Where can you make an impact?
You will be working with the best and brightest minds in Comcast to roll out services that will power the next generation of television, broadband, and home automation.
What are some interesting things you will be doing?
- Closely collaborate with Syndication partners, business owners, product, and engineering teams.
- Drive the design and development of Syndication Insights data analytics products and solutions.
- Meet the analytics, reporting, and machine learning needs of internal stakeholders and external syndicate partners like Cox, Rogers, Shaw, Videotron, and future partners.
- Define and prioritize requirements and maintain the data product roadmap by working directly with data platform, engineering, and collaborator teams.
- Collaborate with program management, engineering, and operations teams on the QA and release of products.
- Report on progress and issues to senior leadership.
Skills/Tools
- Demonstrated experience using project management tools like Jira, Kanban, and SmartSheet
- 3+ years of experience with Quicksight, Tableau or similar Data visualization tools.
- 3+ years of Statistical analysis, machine learning, code fluency (SQL, Spark, Python)
- Familiarity with data integration and ETL processes
- Familiarity with data engineering environments (AWS, Databricks, and Apache Spark)
- Proficiency in at least one coding language (Python, Scala, SQL) to manipulate data and draw insights from large data sets
- Experience using Spark and machine learning packages (Tensorflow, Keras, Pytorch) to build models
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
- Advanced degree in Statistics, Mathematics, Computer Science or another quantitative field
- 2+ years of experience manipulating data sets and building statistical models
Education
Master's Degree in Computer Science or related field
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.
Employees at all levels are expected to:
- Understand our Operating Principles; make them the guidelines for how you do your job.
- Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
- Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
- Win as a team - make big things happen by working together and being open to new ideas.
- Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
- Drive results and growth.
- Respect and promote inclusion & diversity.
- Do what's right for each other, our customers, investors and our communities.
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 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.
Skills:
Data Science; Data Analysis; Big Data; Analytical Thinking; Algorithms; Statistics
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
Education
Bachelor'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 +, 5-7 Years, 2-5 Years, 0-2 Years, 15 Years +, 7-10 Years
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