Manager, Data Science

Madison, WI 53711

Post Date: 03/02/2018 Job ID: 281155-3_1 Category: Marketing Analytics Salary: $125,000 - 190,000
Smith Hanley Associates
Manager, Data Science
Madison, WI
$125,000 - 190,000
For consideration, please send your resume to Nancy Darian at

Leading company in Madison, WI is seeking a Manager, Data Science to be both hands on with statistical modeling and lead a team of data scientists. Use your business experience and deep knowledge of predictive modeling in a marketing setting to solve some of the company's biggest challenges.

--Lead a significant part of the marketing and pricing analytics organization
--Oversee discovery phase to understand business challenges
--Provide hands on leadership to marketing and pricing team
--Deliver solutions to company leadership
--Integrate statistical models into the organization
--Demonstrate customer driven mindset

--Master's or PhD in a quantitative field (Statistics, Mathematics, Operations Research, Computer Science).
--4 or more years of hands-on quantitative experience in a marketing analytics and pricing environment, doing machine learning, fraud modeling and IoT data analysis.
--Proficiency using Python, R, Spark, Hadoop and other big data tools in a business environment.
--2 or more years of experience leading a data science team of PhD and MS modelers.
--Proven ability to translate business objectives and problems into analytically based solutions.
--Strong written and verbal communication skills and ability to lead significant enterprise wide projects.

If this job isn't right for you, see our other positions at

Smith Hanley Associates is the premier recruiting agency serving the analytics and data science space. For more information, please visit our website at

Nancy Darian
Executive Recruiter

Nancy joined the Chicago office of Smith Hanley in 2005. Her expertise in the marketing analytics discipline has resulted in successful partnerships with both clients and candidates. She brings a customer-centric orientation, industry expertise, energy and integrity to her work.
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