Senior Data Scientist: Predictive Analytics & Insights

Comcast; Philadelphia (Philadelphia County); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Benefits package

Career opportunities

Job summary

Comcast is seeking a data analytics professional to collaborate across teams, design experiments, and build data-driven solutions using Python and ML to derive insights for business decisions.

The role emphasizes big data techniques, predictive modeling, and presenting actionable recommendations, with a focus on customer and product analytics and ensuring reliable, scalable data processes.

Qualifications

• Master's degree or equivalent in a relevant field.
• 2–5 years of relevant work experience.
• Strong knowledge of data science, AI systems, and analytics.

Responsibilities

• Collaborating with cross-functional teams to define data analysis problems and design experiments.
• Engineering software solutions and algorithms for data cleansing, integration, and analysis.
• Utilizing advanced statistical methods and machine learning to derive actionable insights from big data.
• Implementing statistical and mathematical models to address complex business challenges.
• Constructing data mining frameworks and conducting trend analysis for strategic decision-making.
• Analyzing complex datasets to identify historical patterns in customer and product behaviors.
• Building predictive models to forecast customer actions and guide business planning.
• Synthesizing findings from data science research to inform and optimize business processes.
• Presenting data-driven insights and recommendations through clear, comprehensive deliverables.

Skills

Data Science

AI Systems

Python

Data Forecasting

Operational Design

Education

Master's Degree

Job description

Comcast is seeking a data analytics professional to collaborate across teams, design experiments, and build data-driven solutions using Python and ML to derive insights for business decisions.

The role emphasizes big data techniques, predictive modeling, and presenting actionable recommendations, with a focus on customer and product analytics and ensuring reliable, scalable data processes.