Data Modeler/Data Miner (Brookfield, WI)

Client Company Profile

Wisconsin office of a well-funded Atlanta based start-up (24+ months) organization, with an exceptional business model and an industry-leading national sales force, providing proven business intelligence services to an active customer base. Currently focused on an established vertical market providing high-demand solutions that substantially reduce risk, reduce costs, and directly saves lives.

The customer value-proposition has a quick and quantifiable return on investment. The service/solution deliverable is based on proprietary company-owned intellectual property providing predictive modeling and analytics.

Outstanding management team and progressive benefits including 100% paid Blue Cross Blue Shield individual health insurance premium, vacation based on your work experience, and flexible work scheduling. Salary commensurate with experience; $90K-$150K+. Brookfield is situated in Waukesha County, one of the country’s wealthiest counties (top 2%), and is located 15 miles west of Milwaukee and 85 miles northwest of Chicago. Waukesha County has a pleasant climate, an exceptional quality of life, and includes some of the state’s top public schools, 77 lakes, hundreds of miles of hiking/biking trails, and more than 20 public golf courses. A relocation package is available for this position.

Position Description

This is a full-time permanent position. Client is adding depth to their Wisconsin-based analytics team. Currently has multiple openings for entrepreneurial data modeler/data miner, with responsibilities to include statistical analysis and algorithm development. Responsible for performing various activities related to business analysis and/or modeling. Duties may include: performing complex analysis and/or modeling of customer data to identify and reduce risk. May develop more complex programming models to extract data and/or manipulate databases to provide statistical and financial modeling.

Areas of Responsibility

• Develop predicative models using company accepted methodologies and tools.
• Working with a team, define and lead the effort to identify risk factors for modeling use.
• Work with stake holders to clearly define targets and be able to present results in a manner understood by stakeholders.
• Be able to demonstrate and validate the logic of modules built.
• Be able to manage timelines for individual client projects with minimal supervision.
• Develop templates and procedures to improve delivery times and quality of client modules.
• Provide leadership and direction to other team members as required.

• Proven experience with multivariate, non-linear modeling.
• Experience with SAS, SPSS, or similar tool sets.
• Demonstrable SQL skills.
• Outstanding communications skills, demonstrating the ability to articulate and translate complex mathematical concepts into language understood by clients and internal stakeholders.
• Reporting and/or data warehousing experience a plus.
• Programming language experience in Java, C++ or related language a plus.

• MS degree in quantitative field (e.g., Statistics, Economics, Finance, or Engineering), or computer science, or related degree. PhD a plus.
• Solid foundation in statistics.
• 3+ years of predictive modeling.
• 3+ years previous experience using SPSS/SAS and/or other advanced statistical/mathematical software.
• Fluency in both SAS programming for data management and statistical analyses and database management for facilitating participant tracking, study management, and report generation are required.
• Demonstrated ability to effectively communicate (verbal and written) analytical results and experiences to a diverse audience.
• Loves to interrogate data; is inquisitive, loves to slice and dice data.
• Exceptional analytical/writing skills.
• Candidate should possess a comprehensive understanding of statistics and survey research methods as well as good oral communication skills.

• Must be a team player, likes seeing a team succeed
• Able to work in a fast-paced environment
• Ability to work under pressure

• Must be very organized, meticulous and diligent
• Exceptional attention to self-monitoring and quality control a must
• Able to and will keep a digital trail of work done
• Process and project oriented
• Attention to detail

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