Chicago, IL 60606
Chicago, IL with some travel
$120,000 - 145,000
Contact: Nancy Darian - [email protected]
Well known company is seeking a Data Scientist to help build an analytical COE that will solve some of the company's most pressing manufacturing and marketing challenges. Seeking experience in machine learning and business analysis in a corporate environment. You will manage full cycle analytics projects, from scoping the business challenge to developing predictive models to implementing and measuring solutions.
Note: candidates must have at least 5 years of full time, post-academia business analytics experience in an analytics team. Candidates must be a US citizen or green card holder.
Responsibilities of the Data Scientist:
--Own and design analytical projects leading to improved manufacturing capabilities.
--Pull and prepare structured and unstructured datasets.
--Perform data mining and segmentation analysis.
--Use Python or R to build machine learning algorithms to optimize current and future state processes.
--Prepare reports and visualizations and deliver insights/recommendations to business partners.
Requirements of the Data Scientist:
--Minimum 5 years of data science experience in a business setting.
--Experience helping to build an analytics COE.
--Experience partnering with business teams and IT to support business needs.
--Proficiency using Python, R and SQL in a business analytics setting to perform data mining predictive modeling, optimizations etc. CPLEX experience desired.
--Proficiency using a variety of visualization tools to tell the story to business partners.
--Superior communication skills with the ability to prepare and deliver presentations of your work.
--Master's degree in a quantitative field (Predictive Analytics, Statistics, Engineering, Mathematics, Computer Science or other).
If this job isn't for you, see our other open positions at www.jobs.smithhanley.com.
Smith Hanley Associates takes pride in being the premier recruiting agency serving the marketing analytics industry. For more information, please visit our website at www.smithhanley.com.