Note: The job is a remote job and is open to candidates in USA. Comcast Advertising drives the TV advertising industry forward by helping brands connect with audiences across screens through advanced data, technology, and premium video content. The Data Scientist 3 role extracts insights from complex data, develops predictive models and analytical solutions, and applies advanced data science techniques to support business performance and data-informed decision-making.
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
- 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
Skills
- 5-8 years of broad marketing experience both in business areas (e.g., Sales, Yield, Product Development) as well as multiple years in areas that apply machine learning to real-world business problems, with a track record of leading AI-ML model development and taking ideas from concept to production
- Deep mastery of AI-ML techniques like tree-based analysis (XGBoost, Random Forest), Regression, Classification, Natural Language Processing, and/or Time-series forecasting
- Knowledge of how to evaluate models and how to work with business to set service levels (RMSE, MAPE, MAE, R-squared, etc.)
- Strong Python proficiency (pandas, NumPy, scikit-learn) and advanced SQL (window functions, query optimization, complex joins)
- Practical knowledge of designing, executing, and analyzing randomized control trials, power analysis, and hypothesis testing
- Proven ability to translate technical modeling decisions into actionable business insights for non-technical stakeholders
- Mathematics, Statistics, Computer Science, Data Science, Econometrics, Psychometrics, or related mathematical field
- Experience with model deployment frameworks (Docker, MLFlow, GIT, AWS CLI)
- Hands-on experience with deep learning frameworks (PyTorch and/or TensorFlow)
- Familiarity with LLM fine-tuning and RAG pipelines
- Familiarity with Agentic
- Familiarity with distributed computing platforms like PySpark
- Marketing-specific background (e.g., product analytics, demand trends and seasonality analysis, marketing feature attribution, pricing optimization, video content analysis)
- Comfortable working within a databricks environment
- Mathematics-related field
- Graduate degree preferred
- 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
Benefits
- Most non-sales positions are eligible for a Bonus.
- Comcast provides best-in-class Benefits to eligible employees.
Company Overview
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