Scientist 2, Data Science

Comcast Advertising; Philadelphia, Northern (Philadelphia County, KY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

Comcast Advertising seeks a Scientist 2, Data Science to help transform complex data into actionable business insights. You will craft predictive models, perform in-depth analyses, and collaborate with teams to address data-centric questions while supporting strategic initiatives under structured guidance.

The role requires 2-5 years of relevant experience and a Master's degree preferred, with a capability to work nights/weekends as needed in a dynamic environment.

Qualifications

• Master's Degree preferred; combination of coursework and/or extensive related experience may be considered.
• 2-5 years of relevant work experience in data science or analytics.

Responsibilities

• Collaborate with cross-functional teams to define data analysis problems and design experiments.
• Develop software solutions and algorithms for data cleansing, integration, and analysis.
• Apply advanced statistics and machine learning to extract insights from large datasets.
• Build predictive models to forecast customer actions and support business planning.
• Present data-driven insights and recommendations through clear deliverables.

Job description

## Scientist 2, Data ScienceApply: PA - Philadelphia, 1701 John F Kennedy Blvd: Full time: Posted Yesterday: R444515Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.**Job Summary**The Supply Chain Planning Center of Excellence (COE) is continuously expanding its scope from building and maintaining forecasting models to machine learning modeling, network design, and inventory optimization modeling. This job is centered on leveraging data science to extract insights from complex datasets and drive business innovation. It involves crafting predictive models, performing in-depth analysis, and collaborating with teams to address data-centric questions. The role supports strategic initiatives by transforming data into actionable intelligence within a structured guidance framework.**Job Description****Responsibilities:*** Collaborating with cross-functional teams to define data analysis problems and design experiments* Engineering software solutions and algorithms for data cleansing, integration, and analysis* Utilizing advanced statistical methods and machine learning to derive actionable insights from big data* Implementing statistical and mathematical models to address complex business challenges* Constructing data mining frameworks and conducting trend analysis for strategic decision-making* Analyzing complex datasets to identify historical patterns in customer and product behaviors* Building predictive models to forecast customer actions and guide business planning* Synthesizing findings from data science research to inform and optimize business processes* Presenting data-driven insights and recommendations through clear, comprehensive deliverables* Consistent exercise of independent judgment and discretion in matters of significance.* Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.* Other duties and responsibilities as assigned.**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.* Support a culture of inclusion in how you work and lead.* 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.**Skills**AI Systems, Data Forecasting, Data Science, Operational Design, Python (Programming Language)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 benefits summary on our careers site for more details.**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)**Relevant Work Experience**2-5 YearsComcast is 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.