Posted:
10/27/2024, 5:00:00 PM
Location(s):
Moscow, Moscow, Russia ⋅ Pennsylvania, United States ⋅ Moscow, Russia ⋅ Doylestown, Pennsylvania, United States
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Hybrid
Job Summary
Join us as we transform and strengthen the way the world connects.Job Description
*We cannot provide sponsorship now or in the future for this role, including H-1B, H-4 EAD, F-1 OPT/CPT, TN*
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.
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, 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 syndicate partners like Cox, Rogers, Shaw, Videotron and future partners. They will be responsible for defining and prioritizing requirements and maintaining the data product roadmap by working directly with our data platform, engineering, and collaborator teams. The role also involves collaboration with program management, engineering and operations teams on the QA and release of products, as well as reporting on progress and issues to senior leadership.
Job Summary
Responsible for leveraging internal and external data to provide insights and information which supports a facts-based decision-making process. Provides input into strategy, analysis methods and tool selection. Works with moderate guidance in own area of knowledge.
Core Responsibilities
Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models).
Develops and executes 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.
Constructs 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.
Skills/Tools
3+ years of Statistical analysis, machine learning, code fluency (SQL, Spark, Python)
Familiar with data integration and ETL processes
Familiar 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
Masters 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.
About Our Perks & Benefits:
We are determined to create an environment where our employees feel valued, understand our business goals, and are motivated.
Here's a look at just some of the perks and benefits we make available to our US-based employees:
Learn more at https://jobs.comcast.com/life-at-comcast/benefits
Reasonable Accommodation
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.
Comcast is an EOE/Veterans/Disabled/LGBT employer.
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.
Skills
Analytical Thinking, Artificial Intelligence (AI), Data Analytics, Data Science, Machine Learning, Predictive Modeling, Statistical AnalysisCompensation
National Pay Range: $62,735.32 USD-$147,035.92 USDComcast intends to offer the selected candidate base pay dependent on job-related, non-discriminatory factors such as experience. 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.
The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
Education
Master's DegreeWhile 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.Certifications (if applicable)
Relative Work Experience
2-5 YearsComcast 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. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance.Website: http://corporate.comcast.com/
Headquarter Location: Philadelphia, Pennsylvania, United States
Employee Count: 10001+
Year Founded: 1963
IPO Status: Public
Last Funding Type: Grant
Industries: Internet ⋅ Telecommunications ⋅ TV ⋅ Video ⋅ Web Hosting