About this opportunity
Comcast Corporation lists this Data Scientist 3 opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
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.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.