Senior Data Scientist - AI-Driven Ad Tech

Comcast Corp.; New York, Northern (NY, KY); Hybrid; USD 118,000 - 177,000; Full time

Job summary

FreeWheel, a Comcast company, is seeking a Data Scientist to join the Audience & AI group within Revenue Science. You will support data analyses, AI, machine learning, and optimization for next-generation ad tech products.

Collaborate with engineering and product teams to define data-driven questions, build predictive models, and deploy data-driven solutions. You will develop ETL pipelines, create insights with visualization tools, and contribute to complex, multi-project initiatives.

Qualifications

• Bachelor’s degree in a technical field such as Data Science, Computer Science, Engineering, Business Analytics, Mathematics, Statistics, or Operations Research required; Master’s or PhD a plus
• At least 2 years of experience with Python, SQL, and analytical model implementation required
• Experience using AWS, Databricks and Snowflake technologies required
• Other on-prem/ cloud platforms a plus
• Knowledge of AI platforms (e.g., Amazon Bedrock), large language models and AI orchestration (e.g., LangChain, LangGraph) technologies desired
• Experience with Optimization Models such as Linear and Nonlinear Programming a plus
• Experience with data visualization tools like Looker and Tableau a plus
• Skilled at data mangling and extract, transform, load (ETL) pipelines
• Skilled at machine learning model building and evaluation
• Strong analytical and problem-solving skills; ability to work independently in a problem solving environment
• Proven ability to deliver on complex projects within deadlines
• Ability to communicate technical concepts to a non-technical audience
• Strong interest in advertising technology

Responsibilities

• Collaborating with cross-functional teams to define data-driven questions and conduct experiments for product and service enhancements
• Engineering and refining algorithms, software, and automated processes for robust data integration and cleansing from multiple sources
• Utilizing statistical rigor and advanced data science methods to analyze large datasets, deriving insights through predictive models and machine learning
• Implement ad tech solutions leveraging statistical models and machine learning methods
• Researching and applying new technologies and analytical methods
• Applying advanced data visualization to provide key insights
• Working independently and as part of a broader team across multiple projects
• Developing statistical and mathematical solutions to complex business problems, contributing to broader initiatives with minimal supervision
• Architecting data mining models and protocols to discern trends within extensive, intricate datasets, enhancing customer and product insights
• Deploying predictive analytics based on historical data to anticipate customer behavior and support strategic business decisions
• Synthesizing forecasts and strategic recommendations by applying data science to business data for impactful project support
• Advancing business decision-making by researching and applying novel data science principles and emerging analytical techniques
• Consistent exercise of independent judgment and discretion in matters of significance
• Regular, consistent and punctual attendance
• Must be able to work nights and weekends, variable schedule(s) as necessary
• Other duties and responsibilities as assigned

Skills

Python

SQL

Analytical modeling

Machine learning

Data visualization

Education

Bachelor's degree in technical field

Master’s or PhD a plus

Tools

AWS

Databricks

Snowflake

Looker

Tableau

Job description

FreeWheel, a Comcast company, is seeking a Data Scientist to join the Audience & AI group within Revenue Science. You will support data analyses, AI, machine learning, and optimization for next-generation ad tech products.

Collaborate with engineering and product teams to define data-driven questions, build predictive models, and deploy data-driven solutions. You will develop ETL pipelines, create insights with visualization tools, and contribute to complex, multi-project initiatives.