FreeWheel Logo

FreeWheel

Data Scientist

Posted 4 Hours Ago
Be an Early Applicant
Hybrid
New York, NY
100K-150K Annually
Entry level
Hybrid
New York, NY
100K-150K Annually
Entry level
Work with product and engineering teams to analyze large datasets, build and deploy machine learning and statistical models, develop data pipelines and mining frameworks, generate predictive insights, and present actionable recommendations. May require nights/weekend availability and independent judgment.
The summary above was generated by AI
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
Freewheel 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 Description
Responsibilities:
  • 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.
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.
Skills:
Machine Learning (ML); Data Visualization; Applied Machine Learning; Data Science; Structured Query Language (SQL); Analytical Thinking; Python (Programming Language)
Salary:
Primary 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.
Education
Bachelor'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
0-2 Years

Similar Jobs at FreeWheel

2 Days Ago
Hybrid
53K-80K Annually
Junior
53K-80K Annually
Junior
AdTech • Digital Media • Marketing Tech
The Support Engineer will troubleshoot issues and provide solutions in online advertising technology, focusing on delivering excellent customer service. Responsibilities include documentation, data analysis, and adapting to new technologies.
Top Skills: CurlHTML5HTTPJavaScriptPythonRestful ApisSQLXML
7 Days Ago
Hybrid
155K-310K Annually
Senior level
155K-310K Annually
Senior level
AdTech • Digital Media • Marketing Tech
Lead the measurement and outcomes product portfolio for premium video: define strategy, roadmap, and delivery; build an outcomes engine linking conversion signals to campaign exposure; manage product managers; align stakeholders; own business performance, KPIs, ROI, and partner integrations to drive measurable advertising performance and revenue growth.
Top Skills: Ad ConversionAdvertising TechnologiesAudience MeasurementConversion Api (Capi)CtvDspFirst-Party Conversion OnboardingPixelsProgrammatic AdvertisingRetail MediaServer-To-Server Event IngestionSsp
10 Days Ago
Hybrid
100K-150K Annually
Senior level
100K-150K Annually
Senior level
AdTech • Digital Media • Marketing Tech
The Senior Account Manager oversees programmatic demand strategy and buyer performance, advising partners on campaign activation and optimizing strategies for revenue growth across FreeWheel's Marketplace.
Top Skills: LookerSalesforceTableau

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account