FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary

Responsible for extracting knowledge and insights from high volume, high dimensional transactional and business data in order to develop technical solutions, policies and procedures for customer revenue maximization. This includes data preparation, modeling, analysis and developing visualization techniques that may include the use of advanced statistical analysis, algorithms, decision analysis, predictive modeling, experimentation and pattern recognition. The deliverables that the team builds informs various Company data science-based services, deployments and practices. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.

Job Description

Core Responsibilities

Interacts with product and service teams to identify questions and issues for data analysis and experiments.Leads development of  automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models).Leads development and execution of statistical and mathematical solutions to business problems to support larger initiatives.Works with large, noisy, and complex datasets to produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data.Develops and deploys predictive models based on historical data that provide future predictions about customer performance.Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data.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.

Required Skills:

SQL and PythonAd Tech ExperienceNice to have: AWS, Databricks, and AI

Employees at all levels are expected to:

Understand our Operating Principles; make them the guidelines for how you do your job.Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.Win as a team - make big things happen by working together and being open to new ideas.Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.Drive results and growth.Support a culture of inclusion in how you work and lead.Do what's right for each other, our customers, investors and our communities.

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.

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant’s criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment.

Skills:

Machine Learning; Data Science; Algorithms; Analytics

Salary:

National Pay Range: $106,944.82 USD-$250,651.93 USD Illinois Pay Range: $113,628.87 USD - $220,573.69 USD Colorado Pay Range: $120,312.92 USD - $230,599.77 USD Hawaii Pay Range: $140,365.08 USD - $210,547.62 USD Washington DC Pay Range: $153,733.18 USD - $230,599.77 USD Maryland Pay Range: $126,996.98 USD - $230,599.77 USD Minnesota Pay Range: $120,312.92 USD - $210,547.62 USD New York Pay Range: $126,996.98 USD - $250,651.93 USD Washington Pay Range: $120,312.92 USD - $240,625.85 USD California Pay Range: $120,312.92 USD - $250,651.93 USD New Jersey Pay Range: $133,681.03 USD - $240,625.85 USD Vermont Pay Range: $126,996.98 USD - $200,521.54 USD

Comcast intends to offer the selected candidate base pay within this range, 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.

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 compensation and benefits summary 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.

Relevant Work Experience

10 Years +