
Data Scientist 3, Workforce Planning
Philadelphia, PAFull-timePosted 1 day agoStill listed today
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At a glance
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Job overview
The Data Scientist 3, Workforce Planning role extracts insights from complex, high-dimensional data and develops predictive models and analytical solutions to support business performance and data-informed decisions. The position collaborates across teams, applies statistical and machine-learning methods, and develops forecasts and recommendations. It also advances business decision-making by researching and applying emerging analytical techniques.
Skills & qualifications
Skills
Qualifications
Full job description
Comcast 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 This job involves extracting insights from complex, high-dimensional data using advanced data science techniques. It requires developing predictive models and analytical solutions to boost business performance. The role is key for driving data-informed business strategies and decisions. Job Description Responsibilities:
- Collaborating with cross-functional teams to define data-driven questions and conduct experiments for product and service enhancements
- Engineering and refining algorithms, software, and automated processes for robust data integration and cleansing from multiple sources
- Utilizing statistical rigor and advanced data science methods to analyze large datasets, deriving insights through predictive models and machine learning
- Developing statistical and mathematical solutions to complex business problems, contributing to broader initiatives with minimal supervision
- Architecting data mining models and protocols to discern trends within extensive, intricate datasets, enhancing customer and product insights
- Deploying predictive analytics based on historical data to anticipate customer behavior and support strategic business decisions
- Synthesizing forecasts and strategic recommendations by applying data science to business data for impactful project support
- Advancing business decision-making by researching and applying novel data science principles and emerging analytical techniques
- 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 Business Acumen, Data Engineering, Data Visualization, Deep Learning, Machine Learning (ML), Predictive Modeling, Project Management
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 Degree
Certifications (if applicable)
Relevant Work Experience 5-7 Years
Comcast 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.
How this job compares
Set against the 4,461 open Data Scientist jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This postingNot listed
- Pennsylvania median$109–197K/yr68 salary ranges
- US median$68–78/hr112 hourly ranges
- Openings
- Olive Jobs lists 112 open Data Scientist jobs in Pennsylvania and 4,461 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in Pennsylvania
- PNC10 open
- Carnegie Mellon University8 open
- J&J Family of Companies8 open
- Experience
- Data Scientist postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 6 years (3,861 postings).
- Education
- 2,211 of the 4,461 open Data Scientist jobs (50%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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