Data Scientist III
Req #37609
To connect with us, visit www.gannett.com
Who we are:
At Gannett, we take pride in empowering communities to thrive. We are a subscription-led, digitally focused, media and marketing solutions company who strive to be the premiere source for clarity, connections, and solutions within a community.
Our portfolio of brands includes the USA TODAY, hundreds of local newspaper and media outlets across the U.S. and U.K., as well as digital marketing services companies ReachLocal, UpCurve, and WordStream. With an unmatched reach at the national and local level, our brands touch the lives of millions with our Pulitzer-Prize winning content and consumer experiences.
The Data Science group which is a part of Gannett’s Enterprise Data Organization, designs and develops machine learning models and decision science solutions that enable our cross-functional partners across Product, Content and Marketing teams to predict performance, better understand audiences and then engage them with meaningful and delightful content experiences.
What you will do:
As a data scientist in the Audience Science hub, you will be part of a team that is leveraging machine learning techniques and algorithms to analyze humungous volumes of structured and unstructured customer data to unlock actionable insights and opportunities that help us drive user value and retention! Your role will directly impact how millions of our users across the communities connect and engage with our content and our products.
Our ideal candidate is a collaborative and innovative problem solver, who is profoundly hands-on and is passionate about applying state-of-the-art solution frameworks and machine learning techniques to develop behavioral segments, audience propensities and other data products that embed strategic audience insights into Gannett’s daily decisions and value chains. In this role, you will work collaboratively with a team of analysts, data engineers, and product managers to support the growth of our digital audience and drive insights that will inform our editorial, marketing, and product strategies.
How you will make an impact:
- Develop and implement predictive models and statistical algorithms to optimize audience acquisition, retention, and engagement across our digital properties.
- Build customer behavior segments, understand user preferences and affinities across the customer journey and provide feedback loop to cross-functional business teams.
- Analyze behavioral trends to uncover opportunities to improve personalization, content, and product performance.
- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions that drive business value.
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Explore new data sources, tools, and technologies to continuously improve our data infrastructure and analytics capabilities.
- Communicate complex analytical insights to non-technical stakeholders clearly and concisely. Understand the data deeply and effectively translate model outcomes and insights into actions and recommendations that lead to decisions and measurable ROI.
What you will bring:
- Degree in a quantitative field such as Statistics, Data Science, Computer Science, Mathematics, or a related field.
- 3+ years of experience in a data science role, preferably in a media or digital marketing environment.
- Experience in building and evaluating machine learning models. Experience in deploying and monitoring machine learning solutions in production is a plus.
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Strong programming skills in Python or R, with experience in data visualization and analysis.
- Solid understanding of statistical modeling techniques, such as regression, clustering, decision trees, time-series modeling. Deep learning expertise is preferred.
- Experience with SQL and data manipulation in relational databases.
- Experience working in cloud data platforms like GCP, Big Query, Data Studio is a plus.
- Experience working with Google web analytics data is a plus.
- Strong problem-solving skills, with the ability to structure complex problems and develop actionable insights.
- Ability to work collaboratively in a team environment.
- Excellent communication and storytelling ability with a track record of translating model results into business insights, and then into actionable recommendations.
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The annualized base salary for this role will range between $68,400 and $161,000. Variable compensation is not reflected in these figures and based on the role, may be applicable. Exact compensation may vary based on skills, experience, location, and union representation, if applicable.
Other details
- Job Family Data Science
- Job Function Enterprise Data Management
- Pay Type Salary
- Min Hiring Rate $110,000.00
- Max Hiring Rate $125,000.00