Neenah, IL 54904
$120,000 - 150,000
Contact: Nancy Darian - [email protected]
Well known manufacturing company is seeking a Data Scientist to join a new analytical COE that will solve some of the company's most pressing business challenges. Seeking candidates with 5 or more years of data science experience and expertise 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 and be willing to work out of state for the first 6 months of employment.
Candidates must be a US citizen or green card holder at this time.
Responsibilities of the Data Scientist:
--Own and design advanced analytics and predictive modeling 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 manufacturing 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 (preferably manufacturing).
--Business experience building machine learning algorithms.
--Experience partnering with business teams and IT to support data science projects.
--Proficiency using Python, R and SQL in a business analytics setting to perform data mining, predictive modeling, optimization 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 (Operations Research, Predictive Analytics, Statistics, Engineering, Mathematics, Computer Science or other).
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