Philadelphia, PA, 19133, USA
5 days ago
Data Scientist 2
Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.) **Job Summary** Join us as we transform and strengthen the way the world connects. Comcast Technology Solutions is a fantastic place for bright minds and forward-thinkers looking to innovate and evolve with a company they can be proud of. Our roots – and our hearts – are in broadcast and digital video, but as part of Comcast NBCUniversal, we are so much more. From the latest in streaming and AI/ML applications to advanced advertising, metadata, and cybersecurity, there are countless reasons why 93% of our employees rate us as a Great Place to Work. Is this the next chapter in your story? Let’s find out. About Comcast Technology Solutions Comcast Technology Solutions, a division of one of the world’s leading media and technology companies, brings Comcast Corporation’s proven technologies to an evolving list of industries worldwide. We believe in continuous innovation, always looking for new and better ways to connect with our customers, as well as aggregate, distribute, and secure our own content, advertising, and data. We invest in and test these solutions so our customers don’t have to. Through our portfolio of solutions we bring these innovations to the global marketplace, enabling our partners to think big, go beyond, and lead the way in media and technology. **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: + Medical & Dental + 401(k) Savings Plan + Generous paid time off + Life Milestones - from adoption assistance, childcare resources, pet insurance, and more, Comcast supports you at all life stages. + Courtesy Services - We offer all of our full-time employees in serviceable areas discounted digital TV and internet. + Discounted tickets for Universal Resorts, and free tickets to our Universal theme parks! 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. 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. 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. **Skills:** Machine Learning; Statistical Analysis; Predictive Modeling; Artificial Intelligence (AI); Data Science; Analytical Thinking; Data Analytics **Salary:** National Pay Range: $65,089.92 USD-$152,554.50 USD Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. 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 (https://jobs.comcast.com/benefits) on our careers site for more details. **Education** Bachelor's Degree, 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** 2-5 Years **Job Family Group:** Enterprise Analytics & Data Intelligence
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