Sr. Data Scientist, Revenue Science

United States ● Virtual Req #23213
Tuesday, July 5, 2022
Gannett Co., Inc. (NYSE: GCI) is a subscription-led and digitally focused media and marketing solutions company committed to empowering communities to thrive. With an unmatched reach at the national and local level, Gannett touches the lives of millions with our Pulitzer-Prize winning content, consumer experiences and benefits, and advertiser products and services.

Our current portfolio of media assets includes USA TODAY, local media organizations in 46 states in the U.S., and Newsquest, a wholly owned subsidiary operating in the United Kingdom with more than 120 local news media brands. Gannett also owns the digital marketing services companies ReachLocal, Inc., UpCurve, Inc., and WordStream, Inc., which are marketed under the LOCALiQ brand, and runs the largest media-owned events business in the U.S., USA TODAY NETWORK Ventures.

To connect with us, visit www.gannett.com


Sr. Data Scientist, Revenue Science


The Enterprise Data Science team, a part of Gannett’s Enterprise Data Organization, designs and develops decision science applications using machine learning models that enable our cross-functional partners across Product, Content, Sales and Marketing teams to predict performance, better understand audiences and then engage them with meaningful and delightful content experiences.


What you’ll do:

This opportunity is for the Revenue data science hub. This team builds forecasting models to support Gannett’s Print, Digital and Advertising campaigns, and financial planning. In addition, the revenue science team builds AI/ML solutions that help optimize investments and thereby, maximize revenue across our various businesses. Our ideal candidate is a collaborative and innovative problem solver, who is profoundly hands-on and is passionate about applying state-of-the-art and innovative solution frameworks to solve business problems and identify process improvement opportunities.


How you’ll make an impact:

As a Sr. Data Scientist – Revenue, you will

-Have deep technical expertise in forecasting and optimization techniques, as well as experience in building, implementing, and driving consumption for related decision science applications.

-Develop and deliver machine learning and time series models, scenario-planning engines and optimization solutions that drive measurable business impact.

-Have experience in scaling and maintaining machine learning models with know-how of automated training, validation, and monitoring of these models.

-Any experience in building advertising auction prediction and bid optimization solutions is a plus.

-Ability to understand the Gannett business model deeply and to effectively translate model outcomes into actions and recommendations that lead to decisions and measurable ROI.

-Have deep experience in and ability to present compelling data stories to both technical and non-technical stakeholders and C-level executives.


What you’ll bring:

-An MS or PhD in a quantitative field. 5+ years of experience manipulating large data sets and implementing large scale end-to-end forecasting and/or revenue optimization solutions.

-Hands-on coding proficiency and experience in Python (preferred) or any other statistical programming language.

-Experience working with raw data sources across multiple technologies and data sources.

-Expert-level knowledge of and experience in using AI/ML techniques like time series, decision trees and other learning models to build and productionalize optimization applications.

-Experience working with cloud computing data environments like GCP (preferred), AWS, Azure etc.

-Experience working with Google Analytics and behavioral data is a plus but not required.
 
#LI-REMOTE

Gannett Co., Inc. is a proud equal opportunity employer committed to building and maintaining a diverse workforce. As such, we will consider all qualified applicants for employment and do not discriminate in connection with employment decisions on the basis of an applicant or employee’s race, color, national origin, ethnicity, ancestry, citizenship status, sex, gender, gender identity, gender expression, religion, age, marital status, personal appearance (including height and weight), sexual orientation, family responsibilities, physical or mental disability, medical condition, pregnancy status (including childbirth, breastfeeding or related medical conditions), education, genetic characteristics or information, political affiliation, military or veteran status or other classifications protected by applicable federal, state and local laws in the jurisdictions where Gannett employs employees. In addition, Gannett Co., Inc. will provide applicants who require a reasonable accommodation, as a result of an applicant’s disability or religion, to complete this employment application and/or any other process in connection with an individuals’ application for employment with Gannett Co., Inc. Applicants who require such accommodation should contact Gannett Co., Inc.’s Recruitment Department at Recruit@gannett.com.

Other details

  • Job Family Data Strategy & Analytics
  • Job Function Technology
  • Pay Type Salary
Location on Google Maps
  • United States
  • Virtual