SENIOR DATA SCIENTIST

Location: Moline, IL
Date Posted: 02-12-2017
As a Senior Data Scientist, you will work as a member of an Analytics Project Team within the Enterprise Analytics Accelerator (EAA) to generate high-value business insights on transformational, analytical projects. In addition, you will:•Work with multiple large, complex, diverse data sets and perform appropriate analytical methodology to provide insights and decision modeling for the specified EAA projects. Create and implement algorithms which manage the data to enable it to be analyzed in an efficient manner and to enable repeatability.•Create and develop new data and analytic applications through research, modeling and advanced analytics.
•Lead the identification of the required data sources and work with the EAA Data Wrangler to implement methodologies to retrieve and use this data. •Lead the working relationship with the relevant business area and Data Wrangler from the EAA. Lead the communication of derived insights in a manner easily understandable by business partners, especially through appropriate visualization techniques. •Proactively stay up-to-date with the latest appropriate analytical techniques and recommend these where needed, especially from academia. •Explain implementation and usage in business terms. Work closely with the Data Infrastructure teams to ensure data is modeled efficiently and in such a way to facilitate the required analytics. •Proactively apply analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business.•Act as a technical specialist for IT Domain management for all matters concerning analytical techniques. •Play a lead role in assessing third party analytical offerings.•Play a lead role in advancing the business transformation of the Enterprise through analytics, for example through discussions with the Analytics Leadership Team (ALT).
What Skills You Need •5 + years of experience applying statistical analyses and analytical methodologies on advanced analytics projects, with the ability to demonstrate the development of algorithms and predictive models to solve business issues. •2 + years of experience working on cross-functional/divisional projects.•Experience with current analytical platforms and be able to utilize these fully independently. •Highly proficient command of the programming languages SQL, SAS, R, Python, Spark•Theoretical knowledge and practical experience in statistical and analytical techniques together with the development of predictive models and machine learning algorithms. •Working knowledge of Heavy Machinery product lines and the types of data available for each •Knowledge of the manufacturing processes as well as Marketing and Customer Support processes
What Makes You Stand Out Other areas of experience or interest that will help us place you on the right team include:•Demonstrated external publications in the field of data and analytics. •Experience with Machine Learning techniques•Experience with natural language processing • Experience in Big data solutions, such as Hadoop, AWS
Education: Ideally, you will have a Master’s Degree in a relevant study area such as mathematics, statistics or advanced analytics
Very competitive salary and benefits!
Great company to work for!
Full relocation package is available!
Don't miss out! Apply now and we'll be in touch immediately with more specific details, salary information and to answer any questions!!

This position does NOT provide sponsorship so please do NOT apply if you require sponsorship.  Thank You

KP Recruiting Group 
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