Data Scientist 3

Comcast Corporation; San Francisco (CA); On-site; USD 108,000 - 163,000; Full time

Benefits offered by this job

Best-in-class benefits

Competitive compensation

Job summary

Comcast Corporation in San Francisco seeks a data scientist who can turn complex, high-dimensional data into predictive models and analytical solutions that drive business performance. You will apply machine learning to large datasets and translate results into data-informed strategies and decisions.

The role emphasizes collaboration with cross-functional teams, building robust data pipelines, deploying models to production, and communicating insights to non-technical stakeholders to influence

Qualifications

• 5–8 years of data science experience across marketing, sales, yield or product analytics.
• Proven track record of leading AI/ML model development to production.
• Strong Python and advanced SQL skills.
• Experience with randomized control trials, power analysis, and hypothesis testing.
• Ability to translate modeling decisions into actionable insights for non-technical stakeholders.

Responsibilities

• Partner with cross-functional teams to define data-driven questions and run experiments.
• Build, refine, and maintain algorithms and automated data integration processes across sources.
• Apply rigorous statistics and ML to large datasets to derive insights.
• Develop statistical/mathematical solutions to complex business problems with minimal supervision.
• Design data mining models to identify trends and improve customer and product insights.
• Deploy predictive analytics to anticipate customer behavior and inform decisions.
• Synthesize forecasts and strategic recommendations using data science approaches.

Skills

Python

SQL

Machine learning

NLP

Time-series forecasting

Education

Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, Econometrics, Psychometrics, or related field

Master’s degree preferred

Tools

Docker

MLFlow

Git

AWS CLI

PyTorch

TensorFlow

PySpark

Databricks

LLM fine-tuning

Job description

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.