Data Scientist ML & Analytics for Ad Tech (NYC Onsite)

Comcast Corporation; New York (NY); On-site; USD 103,000 - 155,000; Full time

Job summary

Comcast Corporation in New York, NY seeks a Data Scientist to apply advanced analytics, ML and AI to ad tech product development and decision-making. You will work with cross-functional teams to define problems, plan experiments, and build models to forecast customer actions and optimize processes.

Requirements include a Master’s Degree, 2–5 years of experience, proficiency in Python and SQL, data visualization skills, and hands-on ML experience.

Qualifications

• 2 to 5 years of experience.
• Master’s Degree.
• Proficiency in Data Science and Applied Machine Learning.
• Strong Analytical Thinking.
• Ability to use Data Visualization.
• Experience with Machine Learning (ML).
• Hands-on programming with Python.
• Competence with Structured Query Language (SQL).

Responsibilities

• Define analysis problems and plan experiments with cross-functional teams.
• Develop software solutions and algorithms for data cleansing, integration, and analysis.
• Apply advanced statistical methods and machine learning to extract insights from large datasets.
• Build statistical and mathematical models to address business needs.
• Create data mining frameworks and perform trend analysis for strategic decisions.
• Analyze complex datasets to uncover historical patterns in customer and product behavior.
• Develop predictive models to forecast customer actions and support business planning.
• Translate research findings into data-driven recommendations to optimize processes.
• Deliver clear presentations of results, recommendations, and insights.

Skills

Data Science

Applied ML

Analytical Thinking

Python

SQL

Data Visualization

ML

Education

Master’s Degree

Tools

Python

SQL

Machine Learning

Job description

Comcast Corporation in New York, NY seeks a Data Scientist to apply advanced analytics, ML and AI to ad tech product development and decision-making. You will work with cross-functional teams to define problems, plan experiments, and build models to forecast customer actions and optimize processes.

Requirements include a Master’s Degree, 2–5 years of experience, proficiency in Python and SQL, data visualization skills, and hands-on ML experience.