Job Summary

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.

Requirements:

• Experience & Impact: 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.
• Core Machine Learning: Deep mastery of AI-ML techniques like tree-based analysis (XGBoost, Random Forest), Regression, Classification, Natural Language Processing, and/or Time-series forecasting.
• Standard evaluation metrics Knowledge of how to evaluate models and how to work with business to set service levels (RMSE, MAPE, MAE, R-squared, etc.)
• Programming & SQL: Strong Python proficiency (pandas, NumPy, scikit-learn) and advanced SQL (window functions, query optimization, complex joins).
• Experimental Design & A/B Testing: Practical knowledge of designing, executing, and analyzing randomized control trials, power analysis, and hypothesis testing.
• Communication & Stakeholder Management: Proven ability to translate technical modeling decisions into actionable business insights for non-technical stakeholders.
• Bachelor’s degree: Mathematics, Statistics, Computer Science, Data Science, Econometrics, Psychometrics, or related mathematical field. Graduate degree preferred.

Nice to Have

• Production MLOps: Experience with model deployment frameworks (Docker, MLFlow, GIT, AWS CLI).
• Advanced Architecture: Hands-on experience with deep learning frameworks (PyTorch and/or TensorFlow)
• Generative AI – Familiarity with LLM fine-tuning and RAG pipelines.  Familiarity with Agentic.
• Distributed Stack: Familiarity with distributed computing platforms like PySpark.
• Domain Specialization: marketing-specific background (e.g., product analytics, demand trends and seasonality analysis, marketing feature attribution, pricing optimization, video content analysis).
• Databricks Infrastructure: Comfortable working within a databricks environment.
• Graduate Degree: Mathematics-related field.

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

Compensation

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.

Education

Certifications (if applicable)

Relevant Work Experience