Job SummaryFreewheel is currently looking to recruit a Data Scientist to join our Audience Revenue Science Team. This role will be responsible for supporting product development efforts related to in-depth data analysis, machine learning, AI, 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 DescriptionResponsibilities:- Collaborating with cross-functional teams to define data analysis problems and design experiments
- Engineering software solutions and algorithms for data cleansing, integration, and analysis
- Utilizing advanced statistical methods and machine learning to derive actionable insights from big data
- Implementing statistical and mathematical models to address complex business challenges
- Constructing data mining frameworks and conducting trend analysis for strategic decision-making
- Analyzing complex datasets to identify historical patterns in customer and product behaviors
- Building predictive models to forecast customer actions and guide business planning
- Synthesizing findings from data science research to inform and optimize business processes
- Presenting data-driven insights and recommendations through clear, comprehensive deliverables
- 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.
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.
SkillsAnalytical Thinking, Applied Machine Learning, Data Science, Data Visualization, Machine Learning (ML), Python (Programming Language), Structured Query Language (SQL)
CompensationPrimary Location Pay Range: $100,254.59 - $150,381.88
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.
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.
EducationMaster'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 Experience2-5 Years
