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Strong fit if you enjoy senior-level modeling and storytelling on large datasets in a U.S.-based Senior Data Scientist seat at Gannett, with work aligned to O*NET data-science tasks rather than pure engineering alone.
As a Senior Data Scientist at Gannett, a typical day centers on turning large datasets into decisions: cleaning and reshaping raw data, selecting features for predictive models (for example demand, attrition, or usage), comparing models with metrics such as loss or explained variance, and packaging findings in clear charts for stakeholders.
Build fluency in statistical software for cleaning and analysis; sampling design; feature selection; model evaluation metrics; and visualization tools that communicate findings to non-technical audiences. No certification costs are available in the provided cert data.
They process large datasets, apply feature selection and sampling, clean raw data, compare models with statistical metrics, and create visualizations of results.
The listing marks remote as no; treat it as a United States–based placement unless Gannett states otherwise in the posting.
See the O*NET summary for Data Scientists at onetonline.org/link/summary/15-2051.00.
Public-domain labor data — prepare examples for 2–3 of these.
Senior Data Scientist at Gannett in United States - Full Time, No Remote The Opportunity Gannett is seeking a Senior Data Scientist to join our product organization. In this role, you will drive data-informed product decisions across various reporting and deep-dive analytics initiatives. You will work closely with cross-functional teams to identify key insights that inform strategic business decisions. Key Responsibilities Analyze large datasets to uncover trends and patterns that can be used to improve products and services Develop predictive models and machine learning algorithms to enhance user experiences and optimize business processes Create visualizations and reports to communicate findings effectively to stakeholders Collaborate with product managers, engineers, and other data scientists to ensure alignment on data-driven strategies Stay up-to-date with the latest advancements in data science methodologies and tools What We're Looking For A minimum of 5 years of experience as a Data Scientist or related field Strong proficiency in Python, R, SQL, and other relevant programming languages Experience with data visualization tools such as Tableau or Power BI Familiarity with machine learning algorithms and statistical models A proven track record of delivering impactful data-driven solutions Excellent communication skills to present complex data insights in a clear and concise manner More About Gannett USA TODAY Co., Inc. is a diversified media company with extensive reach at the national and local level, dedicated to empowering and enriching communities. Through our trusted brands, including the USA TODAY NETWORK and Newsquest, we provide essential journalism, local content, and digital experiences to audiences and businesses. Ready to Apply? To connect with us, visit The Senior Data Scientist will sit within the product organization and help drive data-informed product decisions across reporting, deep-dive analytics initiatives, and more. To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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