Data Scientist 2
Analytics
Artificial Intelligence
Big Data
Bigdata
Business Intelligence
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Integration
Data Mining
Data Pipeline
Data Platform
Data Processing
Data Science
Data Visualization
Database
Databases
Databricks
Digital Marketing
Information Technology (IT)
Machine Learning Engineer
Reporting and Analytics
SQL
Job Description
Comcast Corporation offers a competitive compensation package for the Data Scientist 2 role, with a yearly salary range of $75,190 to $156,647, plus commission, bonus, and best-in-class benefits. This position is based in Philadelphia, PA with remote work options. You will collaborate with cross-functional teams to apply statistical, machine learning, and optimization techniques to well-defined business problems, delivering data-driven insights and scalable analytical solutions while expanding technical expertise.
Benefits
- Base pay
- Commission
- Bonus
- Best-in-class Benefits
Responsibilities
- Partner with cross-functional teams to scope data analysis challenges and design experiments.
- Develop software solutions and algorithms for data cleansing, integration, and analysis.
- Apply advanced statistics and machine learning to extract actionable insights from large datasets.
- Build statistical and mathematical models to address complex business challenges.
- Create data mining frameworks and perform trend analyses to inform strategic decisions.
- Examine complex datasets to uncover historical patterns in customer and product behavior.
- Develop predictive models to forecast customer actions and support business planning.
- Synthesize data science findings to inform and optimize business processes.
- Present findings and recommendations through clear, actionable deliverables.
- Exercise independent judgment and discretion in significant matters.
- Maintain regular, reliable attendance and be available for nights, weekends, and variable schedules as needed.
- Contribute to additional duties and responsibilities as assigned.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field.
- 1–3 years of relevant experience.
- Proficiency in Python and SQL; Spark/PySpark experience is preferred.
- Solid understanding of machine learning techniques (regression, classification, clustering, forecasting, tree-based models, deep learning) and statistical analysis.
- Familiarity with cloud platforms, MLOps, or Generative AI concepts is a plus.
- Strong analytical, problem-solving, and communication skills.
Technologies
- Python
- SQL
- Spark/PySpark
Relevant Work Experience
- 2-5 Years
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