Data Scientist

Chicago, IL

Post Date: 02/20/17 Job ID: 280571-7 Category: Data Science Salary: $90,000 - 110,000
Smith Hanley Associates
Data Scientist
Chicago, IL
$90,000 - 110,000
For consideration, please send your resume to Nancy Darian at

Well known analytical consulting company is seeking a Data Scientist to develop processes to extract and utilize data to improve company's ability to deliver successful marketing programs. Use your big data, predictive modeling and machine learning capabilities to drive marketing efforts.

-Help build machine learning models (including predictive models and recommender systems), mine data to detect for patterns, opportunities and insights to build data products.
-Oversee the continued development of the analytic capabilities, identify opportunities to improve the processes and streamline activities.
-Participate in the development and testing process of future products.


-Minimum 2 years of post master's degree business experience working in a data analysis environment, market research or promotion/advertising. Experience in syndicated research &/or consumer packaged goods preferred.
-Business based experience (post master's degree) designing and analyzing experiments to measure the impact of marketing campaigns.
-Business based experience building machine learning models in R, Python or SAS
-SQL proficiency in a business setting.
-Exposure to Hadoop in a business environment.
-Master's degree in Statistics, Math, Business Analytics, Economics or other quantitative field.

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

Smith Hanley Associates takes pride in being the premier recruiting agency serving the analytics industry. 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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