Data Scientist 3

This role focuses on turning complex, high-dimensional data into predictive models and analytical solutions that support business performance improvements. You will apply machine learning to large datasets and communicate results into data-informed strategies and decisions.

Role Responsibilities

• Partner with cross-functional teams to define data-driven questions and run experiments that support product and service enhancements.
• Build, refine, and maintain algorithms, software, and automated processes to enable robust data integration and cleansing across multiple sources.
• Use statistical rigor and advanced data science methods to analyze large datasets and derive insights through predictive modeling and machine learning.
• Develop statistical and mathematical solutions to complex business problems with minimal supervision, contributing to broader initiatives.
• Design data mining models and protocols to identify trends in large, complex datasets and improve customer and product insights.
• Deploy predictive analytics using historical data to anticipate customer behavior and inform strategic business decisions.
• Synthesize forecasts and strategic recommendations using data science approaches to support impactful projects.
• Research and apply novel data science principles and emerging analytical techniques to advance business decision-making.
• Exercise independent judgment and discretion in matters of significance.
• Maintain regular, consistent, and punctual attendance, with the ability to work nights and weekends and support variable schedules as needed.
• Perform other duties and responsibilities as assigned.

Required Qualifications

• 5 to 8 years of broad marketing experience across business areas such as Sales, Yield, and Product Development, plus multiple years in applying machine learning to real-world business problems.
• A demonstrated track record of leading AI and ML model development and moving concepts from initial idea to production.
• Strong command of AI-ML techniques including tree-based methods (XGBoost, Random Forest), Regression, Classification, Natural Language Processing, and/or time-series forecasting.
• Knowledge of model evaluation and experience partnering with business stakeholders to set service levels using metrics such as RMSE, MAPE, MAE, and R-squared.
• Advanced proficiency in Python (pandas, NumPy, scikit-learn) and advanced SQL (window functions, query optimization, complex joins).
• Experience designing, executing, and analyzing randomized control trials, including power analysis and hypothesis testing.
• Proven ability to translate technical modeling decisions into actionable insights for non-technical stakeholders.
• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, Econometrics, Psychometrics, or a related mathematical field; graduate degree preferred.

Preferred / Nice to Have

• Experience with model deployment frameworks such as Docker, MLFlow, GIT, and AWS CLI.
• Hands-on experience with deep learning frameworks including PyTorch and/or TensorFlow.
• Familiarity with LLM fine-tuning and RAG pipelines, and familiarity with Agentic.
• Experience with distributed computing platforms such as PySpark.
• Marketing-focused background such as product analytics, demand trends and seasonality analysis, marketing feature attribution, pricing optimization, and video content analysis.
• Comfort working in a Databricks environment.
• Mathematics-related field.

Technologies

• Python, pandas, NumPy, scikit-learn
• SQL
• XGBoost, Random Forest
• Natural Language Processing, Time-series forecasting
• RMSE, MAPE, MAE, R-squared
• Docker, MLFlow, GIT, AWS CLI
• PyTorch, TensorFlow
• LLM fine-tuning, RAG, Agentic
• PySpark, Databricks

Employees Operating Principles (Expected)

• Understand and follow the company’s Operating Principles.
• Own the customer experience by putting customers first and enabling seamless digital options at every touchpoint.
• Know your stuff by staying enthusiastic learners and advocates of products and digital tools.
• Win as a team by collaborating and remaining open to new ideas.
• Participate in the Net Promoter System through huddles, call backs, and feedback-driven improvements.
• Drive results and growth.
• Support a culture of inclusion in how you work and lead.
• Do what’s right for customers, investors, communities, and each other.

Skills

• Analytical solutions
• Data science
• Data reporting
• Communication

Location

Onsite: San Francisco, CA

Compensation

Posted salary range: USD 108,442 - 162,663 per year.

California good faith estimated pay range upon hire: USD 108,442.04 - 144,589.39.

Illinois pay range: USD 98,583.68 - 162,663.07.

Benefits

• Base pay within the posted range dependent on job-related, non-discriminatory factors such as experience.
• Best-in-class benefits to eligible employees.

Education and Experience

• Education: Master’s degree (preferred); Comcast may also consider applicants with some combination of coursework and experience or extensive related professional experience.
• Relevant work experience: 5-7 years.
• Minimum experience: 5 years.