Job Summary
Freewheel is currently looking to recruit a Data Scientist to join our Audience & AI group as part of the Revenue Science engineering team. This role will be responsible for supporting product development efforts related to data analyses, AI, machine learning, optimization methods, and statistical model building. This role will work very closely with engineering and product management staff to support the development of innovative approaches to the next generation of ad tech products.
Job Description
Desired Skills and Experience- 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
Position 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
- 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
- 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.
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Skills
Data Science, Machine Learning (ML), Python (Programming Language), Structured Query Language (SQL)
Compensation
New York Pay Range: $118,300.41 - $177,450.62
This job can be performed in Illinois with a Pay Range of $103,512.86 - $184,844.39. This job can be performed in California with a good faith estimated pay range upon hire of $88,725.31 USD - $164,306.12.
Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the on our careers site for more details.
Education
Master's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Certifications (if applicable)
Relevant Work Experience
5-7 Years
