Sr. Data Scientist - Virtual - Freewheel

Remote in Atlanta, GA, US • Posted 18 hours ago • Updated 5 hours ago
Full Time
On-site
USD 93,062.99 per year
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • ADS
  • Media
  • Video
  • Advertising
  • Product Engineering
  • Machine Learning Operations (ML Ops)
  • Artificial Intelligence
  • Algorithms
  • Data Cleansing
  • Machine Learning (ML)
  • Data Mining
  • Statistics
  • Forecasting
  • Business Strategy
  • Business Data
  • Research
  • Analytical Skill
  • Presentations
  • Customer Experience
  • .NET
  • Inventory
  • Big Data
  • Collaboration
  • Data Science
  • Jersey
  • Sales
  • SAP BASIS
  • Law
  • LOS
  • Recruiting
  • Management

Summary

Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division FreeWheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels.

Job Summary
The Sr Data Scientist is a senior technical leader and recognized subject matter expert responsible for architecting and delivering enterprise AI/ML solutions. This role leads multiple strategic initiatives, partners across Product, Engineering, and MLOps, mentors technical teams, and drives the adoption of advanced AI capabilities.

Job Description

Responsibilities:
  • Collaborating with product and service teams to define data-driven questions and design experiments for complex analysis
  • Leading the development and coding of algorithms and automated processes for data cleansing and integration from varied sources
  • Applying advanced statistical methods and machine learning techniques to extract actionable insights from large datasets
  • Creating statistical and mathematical models to address sophisticated business issues and support broader initiatives
  • Architecting data mining models and methodologies, and executing statistical analyses to identify trends in big data
  • Analyzing behavioral data to discern historical customer behavior patterns and product performance insights
  • Building predictive models based on historical data to forecast customer behavior and guide business strategy
  • Formulating strategic recommendations and tactical plans by leveraging data science techniques on complex business data
  • Researching and implementing emerging data science principles and techniques to inform and enhance business decisions
  • Communicating analytical methodologies and results through comprehensive deliverables and stakeholder presentations
  • 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.

Skills
Big Data, Business Decisions, Collaboration, Data Science

Compensation
National Pay Range: $93,062.99 USD-$218,116.38 USD Illinois Pay Range: $98,879.43 USD - $191,942.42 USD Colorado Pay Range: $104,695.86 USD - $200,667.07 USD Hawaii Pay Range: $122,145.18 USD - $183,217.76 USD Washington DC Pay Range: $133,778.05 USD - $200,667.07 USD Maryland Pay Range: $110,512.30 USD - $200,667.07 USD Minnesota Pay Range: $104,695.86 USD - $183,217.76 USD New York Pay Range: $110,512.30 USD - $218,116.38 USD Washington Pay Range: $104,695.86 USD - $209,391.73 USD New Jersey Pay Range: $116,328.74 USD - $209,391.73 USD Vermont Pay Range: $110,512.30 USD - $174,493.11 USD Massachusetts Pay Range: $116,328.74 USD - $209,391.73 USD California Pay Range: $104,695.86 USD - $193,881.22

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. 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.

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

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
7-10 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. 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10185790
  • Position Id: 4d29e95062ee092eadd82e5417b076df
  • Posted 18 hours ago
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