Data Scientist 2

Comcast Corporation; Philadelphia (Philadelphia County); Hybrid; USD 75,000 - 157,000; Full time

Benefits offered by this job

Base pay

Commission

Bonus

Best-in-class Benefits

Job summary

Comcast Corporation is seeking a Data Scientist 2 in Philadelphia, PA with remote work options. You will apply statistical, machine learning, and optimization techniques to well-defined business problems, delivering data-driven insights and scalable analytical solutions while expanding technical expertise.

Responsibilities include partnering with cross-functional teams, developing software solutions, and building predictive models to support business planning and strategic decisions.

Qualifications

• Bachelor’s degree in a quantitative field is required.
• 1–3 years of relevant experience.
• Proficiency in Python and SQL; Spark/PySpark preferred.
• Solid understanding of ML techniques and statistical analysis.

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.

Skills

Python

SQL

Spark/PySpark

Education

Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field

Tools

Spark/PySpark

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