Lead Data Scientist - NYC - Hybrid - Freewheel

Comcast Corporation; Reston (VA); On-site; USD 124,000 - 257,000; Full time

Job summary

FreeWheel, a Comcast company, seeks a data science leader to guide complex analyses, build predictive models, and mentor teams across product and service areas.

You will drive data-driven insights, collaborate with stakeholders, and design scalable analytics solutions to improve business performance and customer outcomes.

Qualifications

• Master's degree preferred; relevant work experience considered.
• 10+ years of relevant work experience.

Responsibilities

• Lead cross-functional collaboration with product and service teams to determine data analysis and experimental needs.
• Design and implement software, algorithms, and automated data integration and cleansing processes.
• Apply statistical methods and machine learning techniques to analyze large datasets.
• Develop statistical and mathematical solutions to complex business problems for strategic initiatives.
• Create data mining architectures and statistical reporting to identify trends in large datasets.
• Oversee analysis of customer behavior and product performance to inform predictive modeling.
• Conduct predictive analytics to forecast customer behavior and support business decisions.
• Research and apply emerging data science principles to improve outcomes.

Skills

Actionable Insights

Data Science

Machine Learning

Predictive Modeling

Statistical Models

Statistics

Education

Master's Degree

Job description

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 SummaryThis job leads in leveraging advanced data science to address intricate business problems, driving strategic insights and actions. It involves guiding data analysis projects, developing predictive models, and mentoring teams. The role serves as an expert advisor, shaping data-driven business improvements.Job DescriptionResponsibilities:Leading cross-functional collaboration with product and service teams to determine data analysis and experimental needsDesigning and implementing software, algorithms, and automated processes for data integration and cleansing from diverse sourcesApplying statistical methods and machine learning techniques to analyze large datasets, extracting actionable insights for business strategyDeveloping statistical and mathematical solutions to complex business problems, informing strategic initiativesCreating data mining architectures and statistical reporting to identify trends and patterns in extensive datasetsOverseeing analysis of customer behavior and product performance, leveraging historical data insights for predictive modelingConducting predictive analytics to anticipate customer behavior, supporting business decisions with data-driven forecastsResearching and applying emerging data science principles to enhance business outcomes, acting as an organizational advisorConsistent 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.SkillsActionable Insights, Data Science, Machine Learning (ML), Predictive Modeling, Statistical Models, StatisticsCompensationNew York Pay Range: $164,721.49 - $247,082.24This job can be performed in Illinois with a Pay Range of $144,131.31 - $257,377.33. This job can be performed in California with a good faith estimated pay range upon hire of $123,541.12 USD - $228,779.85.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 compensation and benefits summary on our careers site for more details.EducationMaster's DegreeWhile 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 Experience10 Years +Comcast is 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.